First Push

README.md

@@ -0,0 +1,35 @@
+---
+library_name: ml-agents
+tags:
+- SoccerTwos
+- deep-reinforcement-learning
+- reinforcement-learning
+- ML-Agents-SoccerTwos
+---
+
+  # **poca** Agent playing **SoccerTwos**
+  This is a trained model of a **poca** agent playing **SoccerTwos**
+  using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
+
+  ## Usage (with ML-Agents)
+  The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
+
+  We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
+  - A *short tutorial* where you teach Huggy the Dog 🐶 to fetch the stick and then play with him directly in your
+  browser: https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction
+  - A *longer tutorial* to understand how works ML-Agents:
+  https://huggingface.co/learn/deep-rl-course/unit5/introduction
+
+  ### Resume the training
+  ```bash
+  mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
+  ```
+
+  ### Watch your Agent play
+  You can watch your agent **playing directly in your browser**
+
+  1. If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity
+  2. Step 1: Find your model_id: gRaphael/poca-SoccerTwos
+  3. Step 2: Select your *.nn /*.onnx file
+  4. Click on Watch the agent play 👀
+  

SoccerTwos/SoccerTwos-1499882.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:112591ef70967c564bba4d8b0a367e3b55fb1dd1f31c7c892a3f5d11159001d6
+size 1768747

SoccerTwos/SoccerTwos-1499882.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8dbbd50d39f0f730024762b70910534723232e744f9b623aa24533db28292715
+size 28432022

SoccerTwos/SoccerTwos-1999994.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6ea2a25f916fefa9c1f7e204645c6cd2f63e77c0070dc6522220fbc87a1c3a3c
+size 1768747

SoccerTwos/SoccerTwos-1999994.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fd5f66f780d8d3f655c45c2d6596302fbb1ab85f87773f64125be4c46082619d
+size 28432022

SoccerTwos/SoccerTwos-2499917.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:27eed8c5221cd1cfb5caa7d7d0b3aee5ea60e72127aef1415e22fdd5622af96a
+size 1768747

SoccerTwos/SoccerTwos-2499917.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b867e5b9992f333e2559f39d8ca555f91cfb4958e86428f89a05201ee0f5c4a0
+size 28432022

SoccerTwos/SoccerTwos-2999819.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:00e2b3d65ec754adde89f0a309e047e6347e891ae534e01624436115295daf7b
+size 1768747

SoccerTwos/SoccerTwos-2999819.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4a2288940a06bcf12c6eca94c61c5d21aaf35eba5edbdfc5405d874daa9fab5a
+size 28432022

SoccerTwos/SoccerTwos-999888.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5a00aa7c737a49d9550036e3ab7bade732450cb0cdf115b55845bb2258db6257
+size 1768747

SoccerTwos/SoccerTwos-999888.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bc8607a2059e867d26fe41f50be98a35ac908e38c0669fb66c44e8b37871fc8b
+size 28431898

SoccerTwos/checkpoint.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d820858e4014fe5d011ea35ada5d7d8d90adb45fa8cde5f05eed20127b113415
+size 28431030

SoccerTwos/events.out.tfevents.1712852934.27a22f2fb33d.2270.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7164b861c960f16841b9a4e2959b4480dd7f42c069147c471fc894d268ec90da
+size 3164063

config.json

@@ -0,0 +1 @@
+{"default_settings": null, "behaviors": {"SoccerTwos": {"trainer_type": "poca", "hyperparameters": {"batch_size": 2048, "buffer_size": 20480, "learning_rate": 0.0003, "beta": 0.005, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "learning_rate_schedule": "constant", "beta_schedule": "constant", "epsilon_schedule": "constant"}, "checkpoint_interval": 500000, "network_settings": {"normalize": false, "hidden_units": 512, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "reward_signals": {"extrinsic": {"gamma": 0.99, "strength": 1.0, "network_settings": {"normalize": false, "hidden_units": 128, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}}}, "init_path": "/content/drive/MyDrive/2v2football/ml-agents/results/SoccerTwos_4/SoccerTwos/SoccerTwos-3999924.pt", "keep_checkpoints": 5, "even_checkpoints": false, "max_steps": 50000000, "time_horizon": 1000, "summary_freq": 10000, "threaded": false, "self_play": {"save_steps": 50000, "team_change": 200000, "swap_steps": 2000, "window": 10, "play_against_latest_model_ratio": 0.5, "initial_elo": 1200.0}, "behavioral_cloning": null}}, "env_settings": {"env_path": "./training-envs-executables/SoccerTwos/SoccerTwos.x86_64", "env_args": null, "base_port": 5005, "num_envs": 1, "num_areas": 1, "timeout_wait": 60, "seed": -1, "max_lifetime_restarts": 10, "restarts_rate_limit_n": 1, "restarts_rate_limit_period_s": 60}, "engine_settings": {"width": 84, "height": 84, "quality_level": 5, "time_scale": 20, "target_frame_rate": -1, "capture_frame_rate": 60, "no_graphics": true, "no_graphics_monitor": false}, "environment_parameters": null, "checkpoint_settings": {"run_id": "SoccerTwos_7", "initialize_from": null, "load_model": false, "resume": false, "force": false, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}

configuration.yaml

@@ -0,0 +1,84 @@
+default_settings: null
+behaviors:
+  SoccerTwos:
+    trainer_type: poca
+    hyperparameters:
+      batch_size: 2048
+      buffer_size: 20480
+      learning_rate: 0.0003
+      beta: 0.005
+      epsilon: 0.2
+      lambd: 0.95
+      num_epoch: 3
+      learning_rate_schedule: constant
+      beta_schedule: constant
+      epsilon_schedule: constant
+    checkpoint_interval: 500000
+    network_settings:
+      normalize: false
+      hidden_units: 512
+      num_layers: 2
+      vis_encode_type: simple
+      memory: null
+      goal_conditioning_type: hyper
+      deterministic: false
+    reward_signals:
+      extrinsic:
+        gamma: 0.99
+        strength: 1.0
+        network_settings:
+          normalize: false
+          hidden_units: 128
+          num_layers: 2
+          vis_encode_type: simple
+          memory: null
+          goal_conditioning_type: hyper
+          deterministic: false
+    init_path: /content/drive/MyDrive/2v2football/ml-agents/results/SoccerTwos_4/SoccerTwos/SoccerTwos-3999924.pt
+    keep_checkpoints: 5
+    even_checkpoints: false
+    max_steps: 50000000
+    time_horizon: 1000
+    summary_freq: 10000
+    threaded: false
+    self_play:
+      save_steps: 50000
+      team_change: 200000
+      swap_steps: 2000
+      window: 10
+      play_against_latest_model_ratio: 0.5
+      initial_elo: 1200.0
+    behavioral_cloning: null
+env_settings:
+  env_path: ./training-envs-executables/SoccerTwos/SoccerTwos.x86_64
+  env_args: null
+  base_port: 5005
+  num_envs: 1
+  num_areas: 1
+  timeout_wait: 60
+  seed: -1
+  max_lifetime_restarts: 10
+  restarts_rate_limit_n: 1
+  restarts_rate_limit_period_s: 60
+engine_settings:
+  width: 84
+  height: 84
+  quality_level: 5
+  time_scale: 20
+  target_frame_rate: -1
+  capture_frame_rate: 60
+  no_graphics: true
+  no_graphics_monitor: false
+environment_parameters: null
+checkpoint_settings:
+  run_id: SoccerTwos_7
+  initialize_from: null
+  load_model: false
+  resume: false
+  force: false
+  train_model: false
+  inference: false
+  results_dir: results
+torch_settings:
+  device: null
+debug: false

run_logs/Player-0.log

@@ -0,0 +1,275 @@
+Mono path[0] = '/content/drive/.shortcut-targets-by-id/1L3BAfoarSbW7LEV4a5ZuRfXOwvH_iUmf/2v2football/ml-agents/training-envs-executables/SoccerTwos/SoccerTwos_Data/Managed'
+Mono config path = '/content/drive/.shortcut-targets-by-id/1L3BAfoarSbW7LEV4a5ZuRfXOwvH_iUmf/2v2football/ml-agents/training-envs-executables/SoccerTwos/SoccerTwos_Data/MonoBleedingEdge/etc'
+Preloaded 'lib_burst_generated.so'
+Preloaded 'libgrpc_csharp_ext.x64.so'
+Unable to load player prefs
+Initialize engine version: 2021.3.14f1 (eee1884e7226)
+[Subsystems] Discovering subsystems at path /content/drive/.shortcut-targets-by-id/1L3BAfoarSbW7LEV4a5ZuRfXOwvH_iUmf/2v2football/ml-agents/training-envs-executables/SoccerTwos/SoccerTwos_Data/UnitySubsystems
+Forcing GfxDevice: Null
+GfxDevice: creating device client; threaded=0; jobified=0
+NullGfxDevice:
+    Version:  NULL 1.0 [1.0]
+    Renderer: Null Device
+    Vendor:   Unity Technologies
+ALSA lib confmisc.c:855:(parse_card) cannot find card '0'
+ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_card_inum returned error: No such file or directory
+ALSA lib confmisc.c:422:(snd_func_concat) error evaluating strings
+ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_concat returned error: No such file or directory
+ALSA lib confmisc.c:1334:(snd_func_refer) error evaluating name
+ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_refer returned error: No such file or directory
+ALSA lib conf.c:5701:(snd_config_expand) Evaluate error: No such file or directory
+ALSA lib pcm.c:2664:(snd_pcm_open_noupdate) Unknown PCM default
+FMOD failed to initialize the output device.: "Error initializing output device. " (60)
+Forced to initialize FMOD to to the device driver's system output rate 48000, this may impact performance and/or give inconsistent experiences compared to selected sample rate 48000
+ALSA lib confmisc.c:855:(parse_card) cannot find card '0'
+ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_card_inum returned error: No such file or directory
+ALSA lib confmisc.c:422:(snd_func_concat) error evaluating strings
+ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_concat returned error: No such file or directory
+ALSA lib confmisc.c:1334:(snd_func_refer) error evaluating name
+ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_refer returned error: No such file or directory
+ALSA lib conf.c:5701:(snd_config_expand) Evaluate error: No such file or directory
+ALSA lib pcm.c:2664:(snd_pcm_open_noupdate) Unknown PCM default
+FMOD failed to initialize the output device.: "Error initializing output device. " (60)
+FMOD initialized on nosound output
+Begin MonoManager ReloadAssembly
+- Completed reload, in  8.839 seconds
+ERROR: Shader Sprites/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+ERROR: Shader Sprites/Mask shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+ERROR: Shader Legacy Shaders/VertexLit shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+WARNING: Shader Unsupported: 'Standard (Specular setup)' - All subshaders removed
+WARNING: Shader Did you use #pragma only_renderers and omit this platform?
+WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
+ERROR: Shader Standard (Specular setup) shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+WARNING: Shader Unsupported: 'Standard (Specular setup)' - All subshaders removed
+WARNING: Shader Did you use #pragma only_renderers and omit this platform?
+WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
+WARNING: Shader Unsupported: 'Autodesk Interactive' - All subshaders removed
+WARNING: Shader Did you use #pragma only_renderers and omit this platform?
+WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
+ERROR: Shader Autodesk Interactive shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+WARNING: Shader Unsupported: 'Autodesk Interactive' - All subshaders removed
+WARNING: Shader Did you use #pragma only_renderers and omit this platform?
+WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
+WARNING: Shader Unsupported: 'Standard' - All subshaders removed
+WARNING: Shader Did you use #pragma only_renderers and omit this platform?
+WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
+ERROR: Shader Standard shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+WARNING: Shader Unsupported: 'Standard' - All subshaders removed
+WARNING: Shader Did you use #pragma only_renderers and omit this platform?
+WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
+UnloadTime: 1.124119 ms
+Registered Communicator in Agent.
+ERROR: Shader UI/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+requesting resize 84 x 84
+Setting up 1 worker threads for Enlighten.
+Memory Statistics:
+[ALLOC_TEMP_TLS] TLS Allocator
+  StackAllocators : 
+    [ALLOC_TEMP_MAIN]
+      Peak usage frame count: [8.0 KB-16.0 KB]: 58130 frames, [2.0 MB-4.0 MB]: 1 frames
+      Initial Block Size 4.0 MB
+      Current Block Size 4.0 MB
+      Peak Allocated Bytes 2.1 MB
+      Overflow Count 0
+    [ALLOC_TEMP_Loading.AsyncRead]
+      Initial Block Size 64.0 KB
+      Current Block Size 64.0 KB
+      Peak Allocated Bytes 174 B
+      Overflow Count 0
+    [ALLOC_TEMP_Loading.PreloadManager]
+      Initial Block Size 256.0 KB
+      Current Block Size 300.0 KB
+      Peak Allocated Bytes 249.7 KB
+      Overflow Count 4
+    [ALLOC_TEMP_Background Job.Worker 8]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 9]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Job.Worker 0]
+      Initial Block Size 256.0 KB
+      Current Block Size 256.0 KB
+      Peak Allocated Bytes 0.7 KB
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 10]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 14]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 6]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 12]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_EnlightenWorker]
+      Initial Block Size 64.0 KB
+      Current Block Size 64.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 15]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 1]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 2]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 7]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_AssetGarbageCollectorHelper]
+      Initial Block Size 64.0 KB
+      Current Block Size 64.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 5]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 13]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 11]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 3]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 0]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 4]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_BatchDeleteObjects]
+      Initial Block Size 64.0 KB
+      Current Block Size 64.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+[ALLOC_DEFAULT] Dual Thread Allocator
+  Peak main deferred allocation count 4
+    [ALLOC_BUCKET]
+      Large Block size 4.0 MB
+      Used Block count 1
+      Peak Allocated bytes 1.0 MB
+    [ALLOC_DEFAULT_MAIN]
+      Peak usage frame count: [4.0 MB-8.0 MB]: 58131 frames
+      Requested Block Size 16.0 MB
+      Peak Block count 1
+      Peak Allocated memory 4.9 MB
+      Peak Large allocation bytes 0 B
+    [ALLOC_DEFAULT_THREAD]
+      Peak usage frame count: [16.0 MB-32.0 MB]: 58131 frames
+      Requested Block Size 16.0 MB
+      Peak Block count 1
+      Peak Allocated memory 17.1 MB
+      Peak Large allocation bytes 16.0 MB
+[ALLOC_TEMP_JOB_1_FRAME]
+  Initial Block Size 2.0 MB
+  Used Block Count 1
+  Overflow Count (too large) 0
+  Overflow Count (full) 0
+[ALLOC_TEMP_JOB_2_FRAMES]
+  Initial Block Size 2.0 MB
+  Used Block Count 1
+  Overflow Count (too large) 0
+  Overflow Count (full) 0
+[ALLOC_TEMP_JOB_4_FRAMES (JobTemp)]
+  Initial Block Size 2.0 MB
+  Used Block Count 2
+  Overflow Count (too large) 0
+  Overflow Count (full) 0
+[ALLOC_TEMP_JOB_ASYNC (Background)]
+  Initial Block Size 1.0 MB
+  Used Block Count 3
+  Overflow Count (too large) 0
+  Overflow Count (full) 0
+[ALLOC_GFX] Dual Thread Allocator
+  Peak main deferred allocation count 0
+    [ALLOC_BUCKET]
+      Large Block size 4.0 MB
+      Used Block count 1
+      Peak Allocated bytes 1.0 MB
+    [ALLOC_GFX_MAIN]
+      Peak usage frame count: [32.0 KB-64.0 KB]: 58130 frames, [64.0 KB-128.0 KB]: 1 frames
+      Requested Block Size 16.0 MB
+      Peak Block count 1
+      Peak Allocated memory 65.6 KB
+      Peak Large allocation bytes 0 B
+    [ALLOC_GFX_THREAD]
+      Peak usage frame count: [128.0 KB-256.0 KB]: 58131 frames
+      Requested Block Size 16.0 MB
+      Peak Block count 1
+      Peak Allocated memory 173.5 KB
+      Peak Large allocation bytes 0 B
+[ALLOC_CACHEOBJECTS] Dual Thread Allocator
+  Peak main deferred allocation count 0
+    [ALLOC_BUCKET]
+      Large Block size 4.0 MB
+      Used Block count 1
+      Peak Allocated bytes 1.0 MB
+    [ALLOC_CACHEOBJECTS_MAIN]
+      Peak usage frame count: [0.5 MB-1.0 MB]: 58131 frames
+      Requested Block Size 4.0 MB
+      Peak Block count 1
+      Peak Allocated memory 0.6 MB
+      Peak Large allocation bytes 0 B
+    [ALLOC_CACHEOBJECTS_THREAD]
+      Peak usage frame count: [0.5 MB-1.0 MB]: 58130 frames, [4.0 MB-8.0 MB]: 1 frames
+      Requested Block Size 4.0 MB
+      Peak Block count 2
+      Peak Allocated memory 5.5 MB
+      Peak Large allocation bytes 0 B
+[ALLOC_TYPETREE] Dual Thread Allocator
+  Peak main deferred allocation count 0
+    [ALLOC_BUCKET]
+      Large Block size 4.0 MB
+      Used Block count 1
+      Peak Allocated bytes 1.0 MB
+    [ALLOC_TYPETREE_MAIN]
+      Peak usage frame count: [0-1.0 KB]: 58131 frames
+      Requested Block Size 2.0 MB
+      Peak Block count 1
+      Peak Allocated memory 1.0 KB
+      Peak Large allocation bytes 0 B
+    [ALLOC_TYPETREE_THREAD]
+      Peak usage frame count: [1.0 KB-2.0 KB]: 58130 frames, [2.0 KB-4.0 KB]: 1 frames
+      Requested Block Size 2.0 MB
+      Peak Block count 1
+      Peak Allocated memory 2.2 KB
+      Peak Large allocation bytes 0 B

run_logs/timers.json

@@ -0,0 +1,424 @@
+{
+    "name": "root",
+    "gauges": {
+        "SoccerTwos.Policy.Entropy.mean": {
+            "value": 1.5712438821792603,
+            "min": 1.5587527751922607,
+            "max": 2.0243117809295654,
+            "count": 308
+        },
+        "SoccerTwos.Policy.Entropy.sum": {
+            "value": 34894.18359375,
+            "min": 27434.048828125,
+            "max": 45251.359375,
+            "count": 308
+        },
+        "SoccerTwos.Environment.EpisodeLength.mean": {
+            "value": 57.888888888888886,
+            "min": 42.02654867256637,
+            "max": 84.96551724137932,
+            "count": 308
+        },
+        "SoccerTwos.Environment.EpisodeLength.sum": {
+            "value": 20840.0,
+            "min": 17400.0,
+            "max": 21824.0,
+            "count": 308
+        },
+        "SoccerTwos.Self-play.ELO.mean": {
+            "value": 1264.454923827002,
+            "min": 1173.1927203833575,
+            "max": 1292.2790965101735,
+            "count": 308
+        },
+        "SoccerTwos.Self-play.ELO.sum": {
+            "value": 227601.88628886035,
+            "min": 146698.67756814498,
+            "max": 274048.9838696183,
+            "count": 308
+        },
+        "SoccerTwos.Step.mean": {
+            "value": 3079958.0,
+            "min": 9870.0,
+            "max": 3079958.0,
+            "count": 308
+        },
+        "SoccerTwos.Step.sum": {
+            "value": 3079958.0,
+            "min": 9870.0,
+            "max": 3079958.0,
+            "count": 308
+        },
+        "SoccerTwos.Policy.ExtrinsicBaselineEstimate.mean": {
+            "value": -0.017327221110463142,
+            "min": -0.11203747242689133,
+            "max": 0.10505310446023941,
+            "count": 308
+        },
+        "SoccerTwos.Policy.ExtrinsicBaselineEstimate.sum": {
+            "value": -3.1188998222351074,
+            "min": -19.606557846069336,
+            "max": 20.275249481201172,
+            "count": 308
+        },
+        "SoccerTwos.Policy.ExtrinsicValueEstimate.mean": {
+            "value": -0.014008126221597195,
+            "min": -0.11430858075618744,
+            "max": 0.11353336274623871,
+            "count": 308
+        },
+        "SoccerTwos.Policy.ExtrinsicValueEstimate.sum": {
+            "value": -2.5214626789093018,
+            "min": -20.00400161743164,
+            "max": 21.91193962097168,
+            "count": 308
+        },
+        "SoccerTwos.Environment.CumulativeReward.mean": {
+            "value": 0.0,
+            "min": 0.0,
+            "max": 0.0,
+            "count": 308
+        },
+        "SoccerTwos.Environment.CumulativeReward.sum": {
+            "value": 0.0,
+            "min": 0.0,
+            "max": 0.0,
+            "count": 308
+        },
+        "SoccerTwos.Policy.ExtrinsicReward.mean": {
+            "value": -0.11526444554328918,
+            "min": -0.29855857193470003,
+            "max": 0.315018183655209,
+            "count": 308
+        },
+        "SoccerTwos.Policy.ExtrinsicReward.sum": {
+            "value": -20.747600197792053,
+            "min": -50.76240026950836,
+            "max": 62.373600363731384,
+            "count": 308
+        },
+        "SoccerTwos.Environment.GroupCumulativeReward.mean": {
+            "value": -0.11526444554328918,
+            "min": -0.29855857193470003,
+            "max": 0.315018183655209,
+            "count": 308
+        },
+        "SoccerTwos.Environment.GroupCumulativeReward.sum": {
+            "value": -20.747600197792053,
+            "min": -50.76240026950836,
+            "max": 62.373600363731384,
+            "count": 308
+        },
+        "SoccerTwos.IsTraining.mean": {
+            "value": 1.0,
+            "min": 1.0,
+            "max": 1.0,
+            "count": 308
+        },
+        "SoccerTwos.IsTraining.sum": {
+            "value": 1.0,
+            "min": 1.0,
+            "max": 1.0,
+            "count": 308
+        },
+        "SoccerTwos.Losses.PolicyLoss.mean": {
+            "value": 0.014509687471824387,
+            "min": 0.011130414668393011,
+            "max": 0.021387927453118512,
+            "count": 149
+        },
+        "SoccerTwos.Losses.PolicyLoss.sum": {
+            "value": 0.014509687471824387,
+            "min": 0.011130414668393011,
+            "max": 0.021387927453118512,
+            "count": 149
+        },
+        "SoccerTwos.Losses.ValueLoss.mean": {
+            "value": 0.10417577028274536,
+            "min": 0.08628185093402863,
+            "max": 0.12103650743762652,
+            "count": 149
+        },
+        "SoccerTwos.Losses.ValueLoss.sum": {
+            "value": 0.10417577028274536,
+            "min": 0.08628185093402863,
+            "max": 0.12103650743762652,
+            "count": 149
+        },
+        "SoccerTwos.Losses.BaselineLoss.mean": {
+            "value": 0.10661319221059481,
+            "min": 0.08823907102147738,
+            "max": 0.12421340743700664,
+            "count": 149
+        },
+        "SoccerTwos.Losses.BaselineLoss.sum": {
+            "value": 0.10661319221059481,
+            "min": 0.08823907102147738,
+            "max": 0.12421340743700664,
+            "count": 149
+        },
+        "SoccerTwos.Policy.LearningRate.mean": {
+            "value": 0.0003,
+            "min": 0.0003,
+            "max": 0.0003,
+            "count": 149
+        },
+        "SoccerTwos.Policy.LearningRate.sum": {
+            "value": 0.0003,
+            "min": 0.0003,
+            "max": 0.0003,
+            "count": 149
+        },
+        "SoccerTwos.Policy.Epsilon.mean": {
+            "value": 0.20000000000000007,
+            "min": 0.20000000000000007,
+            "max": 0.20000000000000007,
+            "count": 149
+        },
+        "SoccerTwos.Policy.Epsilon.sum": {
+            "value": 0.20000000000000007,
+            "min": 0.20000000000000007,
+            "max": 0.20000000000000007,
+            "count": 149
+        },
+        "SoccerTwos.Policy.Beta.mean": {
+            "value": 0.005000000000000001,
+            "min": 0.005000000000000001,
+            "max": 0.005000000000000001,
+            "count": 149
+        },
+        "SoccerTwos.Policy.Beta.sum": {
+            "value": 0.005000000000000001,
+            "min": 0.005000000000000001,
+            "max": 0.005000000000000001,
+            "count": 149
+        }
+    },
+    "metadata": {
+        "timer_format_version": "0.1.0",
+        "start_time_seconds": "1712852912",
+        "python_version": "3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0]",
+        "command_line_arguments": "/usr/local/bin/mlagents-learn ./config/poca/SoccerTwos.yaml --env=./training-envs-executables/SoccerTwos/SoccerTwos.x86_64 --run-id=SoccerTwos_7 --no-graphics",
+        "mlagents_version": "1.1.0.dev0",
+        "mlagents_envs_version": "1.1.0.dev0",
+        "communication_protocol_version": "1.5.0",
+        "pytorch_version": "2.2.1+cu121",
+        "numpy_version": "1.23.5",
+        "end_time_seconds": "1712860334"
+    },
+    "total": 7422.35113601,
+    "count": 1,
+    "self": 4.956130135000421,
+    "children": {
+        "run_training.setup": {
+            "total": 0.06972608000000946,
+            "count": 1,
+            "self": 0.06972608000000946
+        },
+        "TrainerController.start_learning": {
+            "total": 7417.325279795,
+            "count": 1,
+            "self": 5.4442507271742215,
+            "children": {
+                "TrainerController._reset_env": {
+                    "total": 29.171038249998958,
+                    "count": 16,
+                    "self": 29.171038249998958
+                },
+                "TrainerController.advance": {
+                    "total": 7382.708459428827,
+                    "count": 214518,
+                    "self": 5.693532849913026,
+                    "children": {
+                        "env_step": {
+                            "total": 5708.206104742876,
+                            "count": 214518,
+                            "self": 4394.0394083652955,
+                            "children": {
+                                "SubprocessEnvManager._take_step": {
+                                    "total": 1310.9314957215418,
+                                    "count": 214518,
+                                    "self": 35.09114510350105,
+                                    "children": {
+                                        "TorchPolicy.evaluate": {
+                                            "total": 1275.8403506180407,
+                                            "count": 387544,
+                                            "self": 1275.8403506180407
+                                        }
+                                    }
+                                },
+                                "workers": {
+                                    "total": 3.2352006560385576,
+                                    "count": 214517,
+                                    "self": 0.0,
+                                    "children": {
+                                        "worker_root": {
+                                            "total": 7401.50360033186,
+                                            "count": 214517,
+                                            "is_parallel": true,
+                                            "self": 3711.771301610851,
+                                            "children": {
+                                                "run_training.setup": {
+                                                    "total": 0.0,
+                                                    "count": 0,
+                                                    "is_parallel": true,
+                                                    "self": 0.0,
+                                                    "children": {
+                                                        "steps_from_proto": {
+                                                            "total": 0.006357496999953582,
+                                                            "count": 2,
+                                                            "is_parallel": true,
+                                                            "self": 0.003800963999879059,
+                                                            "children": {
+                                                                "_process_rank_one_or_two_observation": {
+                                                                    "total": 0.0025565330000745234,
+                                                                    "count": 8,
+                                                                    "is_parallel": true,
+                                                                    "self": 0.0025565330000745234
+                                                                }
+                                                            }
+                                                        },
+                                                        "UnityEnvironment.step": {
+                                                            "total": 0.04533018199998651,
+                                                            "count": 1,
+                                                            "is_parallel": true,
+                                                            "self": 0.0012176590000194665,
+                                                            "children": {
+                                                                "UnityEnvironment._generate_step_input": {
+                                                                    "total": 0.0008767979999788622,
+                                                                    "count": 1,
+                                                                    "is_parallel": true,
+                                                                    "self": 0.0008767979999788622
+                                                                },
+                                                                "communicator.exchange": {
+                                                                    "total": 0.03945899199999303,
+                                                                    "count": 1,
+                                                                    "is_parallel": true,
+                                                                    "self": 0.03945899199999303
+                                                                },
+                                                                "steps_from_proto": {
+                                                                    "total": 0.003776732999995147,
+                                                                    "count": 2,
+                                                                    "is_parallel": true,
+                                                                    "self": 0.0007150210000190782,
+                                                                    "children": {
+                                                                        "_process_rank_one_or_two_observation": {
+                                                                            "total": 0.003061711999976069,
+                                                                            "count": 8,
+                                                                            "is_parallel": true,
+                                                                            "self": 0.003061711999976069
+                                                                        }
+                                                                    }
+                                                                }
+                                                            }
+                                                        }
+                                                    }
+                                                },
+                                                "UnityEnvironment.step": {
+                                                    "total": 3689.69585746801,
+                                                    "count": 214516,
+                                                    "is_parallel": true,
+                                                    "self": 224.85616908131578,
+                                                    "children": {
+                                                        "UnityEnvironment._generate_step_input": {
+                                                            "total": 154.20964920780523,
+                                                            "count": 214516,
+                                                            "is_parallel": true,
+                                                            "self": 154.20964920780523
+                                                        },
+                                                        "communicator.exchange": {
+                                                            "total": 2578.6190841460702,
+                                                            "count": 214516,
+                                                            "is_parallel": true,
+                                                            "self": 2578.6190841460702
+                                                        },
+                                                        "steps_from_proto": {
+                                                            "total": 732.0109550328189,
+                                                            "count": 429032,
+                                                            "is_parallel": true,
+                                                            "self": 124.626059117973,
+                                                            "children": {
+                                                                "_process_rank_one_or_two_observation": {
+                                                                    "total": 607.3848959148459,
+                                                                    "count": 1716128,
+                                                                    "is_parallel": true,
+                                                                    "self": 607.3848959148459
+                                                                }
+                                                            }
+                                                        }
+                                                    }
+                                                },
+                                                "steps_from_proto": {
+                                                    "total": 0.03644125299865664,
+                                                    "count": 30,
+                                                    "is_parallel": true,
+                                                    "self": 0.006973879003908223,
+                                                    "children": {
+                                                        "_process_rank_one_or_two_observation": {
+                                                            "total": 0.029467373994748414,
+                                                            "count": 120,
+                                                            "is_parallel": true,
+                                                            "self": 0.029467373994748414
+                                                        }
+                                                    }
+                                                }
+                                            }
+                                        }
+                                    }
+                                }
+                            }
+                        },
+                        "trainer_advance": {
+                            "total": 1668.8088218360379,
+                            "count": 214517,
+                            "self": 40.49114764599585,
+                            "children": {
+                                "process_trajectory": {
+                                    "total": 805.2076311340425,
+                                    "count": 214517,
+                                    "self": 803.2075128010435,
+                                    "children": {
+                                        "RLTrainer._checkpoint": {
+                                            "total": 2.000118332998909,
+                                            "count": 6,
+                                            "self": 2.000118332998909
+                                        }
+                                    }
+                                },
+                                "_update_policy": {
+                                    "total": 823.1100430559994,
+                                    "count": 149,
+                                    "self": 477.9641945340094,
+                                    "children": {
+                                        "TorchPOCAOptimizer.update": {
+                                            "total": 345.14584852199005,
+                                            "count": 4470,
+                                            "self": 345.14584852199005
+                                        }
+                                    }
+                                }
+                            }
+                        }
+                    }
+                },
+                "trainer_threads": {
+                    "total": 1.258999873243738e-06,
+                    "count": 1,
+                    "self": 1.258999873243738e-06
+                },
+                "TrainerController._save_models": {
+                    "total": 0.0015301299999919138,
+                    "count": 1,
+                    "self": 4.5572000090032816e-05,
+                    "children": {
+                        "RLTrainer._checkpoint": {
+                            "total": 0.001484557999901881,
+                            "count": 1,
+                            "self": 0.001484557999901881
+                        }
+                    }
+                }
+            }
+        }
+    }
+}

run_logs/training_status.json

@@ -0,0 +1,57 @@
+{
+    "SoccerTwos": {
+        "checkpoints": [
+            {
+                "steps": 999888,
+                "file_path": "results/SoccerTwos_7/SoccerTwos/SoccerTwos-999888.onnx",
+                "reward": 0.0,
+                "creation_time": 1712855403.826584,
+                "auxillary_file_paths": [
+                    "results/SoccerTwos_7/SoccerTwos/SoccerTwos-999888.pt"
+                ]
+            },
+            {
+                "steps": 1499882,
+                "file_path": "results/SoccerTwos_7/SoccerTwos/SoccerTwos-1499882.onnx",
+                "reward": 0.0,
+                "creation_time": 1712856605.841221,
+                "auxillary_file_paths": [
+                    "results/SoccerTwos_7/SoccerTwos/SoccerTwos-1499882.pt"
+                ]
+            },
+            {
+                "steps": 1999994,
+                "file_path": "results/SoccerTwos_7/SoccerTwos/SoccerTwos-1999994.onnx",
+                "reward": 0.0,
+                "creation_time": 1712857801.2329764,
+                "auxillary_file_paths": [
+                    "results/SoccerTwos_7/SoccerTwos/SoccerTwos-1999994.pt"
+                ]
+            },
+            {
+                "steps": 2499917,
+                "file_path": "results/SoccerTwos_7/SoccerTwos/SoccerTwos-2499917.onnx",
+                "reward": 0.0,
+                "creation_time": 1712858957.632531,
+                "auxillary_file_paths": [
+                    "results/SoccerTwos_7/SoccerTwos/SoccerTwos-2499917.pt"
+                ]
+            },
+            {
+                "steps": 2999819,
+                "file_path": "results/SoccerTwos_7/SoccerTwos/SoccerTwos-2999819.onnx",
+                "reward": 0.0,
+                "creation_time": 1712860124.0010712,
+                "auxillary_file_paths": [
+                    "results/SoccerTwos_7/SoccerTwos/SoccerTwos-2999819.pt"
+                ]
+            }
+        ],
+        "elo": 1262.8873542290744
+    },
+    "metadata": {
+        "stats_format_version": "0.3.0",
+        "mlagents_version": "1.1.0.dev0",
+        "torch_version": "2.2.1+cu121"
+    }
+}