Initial commit

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.mp4 filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,84 @@
+---
+library_name: stable-baselines3
+tags:
+- seals/HalfCheetah-v1
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+model-index:
+- name: SAC
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: seals/HalfCheetah-v1
+      type: seals/HalfCheetah-v1
+    metrics:
+    - type: mean_reward
+      value: 1183.52 +/- 22.65
+      name: mean_reward
+      verified: false
+---
+
+# **SAC** Agent playing **seals/HalfCheetah-v1**
+This is a trained model of a **SAC** agent playing **seals/HalfCheetah-v1**
+using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
+and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
+
+The RL Zoo is a training framework for Stable Baselines3
+reinforcement learning agents,
+with hyperparameter optimization and pre-trained agents included.
+
+## Usage (with SB3 RL Zoo)
+
+RL Zoo: https://github.com/DLR-RM/rl-baselines3-zoo<br/>
+SB3: https://github.com/DLR-RM/stable-baselines3<br/>
+SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
+
+Install the RL Zoo (with SB3 and SB3-Contrib):
+```bash
+pip install rl_zoo3
+```
+
+```
+# Download model and save it into the logs/ folder
+python -m rl_zoo3.load_from_hub --algo sac --env seals/HalfCheetah-v1 -orga HumanCompatibleAI -f logs/
+python -m rl_zoo3.enjoy --algo sac --env seals/HalfCheetah-v1  -f logs/
+```
+
+If you installed the RL Zoo3 via pip (`pip install rl_zoo3`), from anywhere you can do:
+```
+python -m rl_zoo3.load_from_hub --algo sac --env seals/HalfCheetah-v1 -orga HumanCompatibleAI -f logs/
+python -m rl_zoo3.enjoy --algo sac --env seals/HalfCheetah-v1  -f logs/
+```
+
+## Training (with the RL Zoo)
+```
+python -m rl_zoo3.train --algo sac --env seals/HalfCheetah-v1 -f logs/
+# Upload the model and generate video (when possible)
+python -m rl_zoo3.push_to_hub --algo sac --env seals/HalfCheetah-v1 -f logs/ -orga HumanCompatibleAI
+```
+
+## Hyperparameters
+```python
+OrderedDict([('batch_size', 2048),
+             ('buffer_size', 100000),
+             ('gamma', 0.95),
+             ('learning_rate', 0.000884624878315995),
+             ('learning_starts', 10000),
+             ('n_timesteps', 1000000.0),
+             ('policy', 'MlpPolicy'),
+             ('policy_kwargs',
+              {'log_std_init': -0.6932709443503001,
+               'net_arch': [64, 64],
+               'use_sde': False}),
+             ('tau', 0.01),
+             ('train_freq', 64),
+             ('normalize', False)])
+```
+
+# Environment Arguments
+```python
+{'render_mode': 'rgb_array'}
+```

args.yml

@@ -0,0 +1,81 @@
+!!python/object/apply:collections.OrderedDict
+- - - algo
+    - sac
+  - - conf_file
+    - hyperparams/python/sac.py
+  - - device
+    - cpu
+  - - env
+    - seals/HalfCheetah-v1
+  - - env_kwargs
+    - null
+  - - eval_episodes
+    - 0
+  - - eval_freq
+    - 25000
+  - - gym_packages
+    - - seals
+  - - hyperparams
+    - null
+  - - log_folder
+    - gymnasium_models
+  - - log_interval
+    - -1
+  - - max_total_trials
+    - null
+  - - n_eval_envs
+    - 1
+  - - n_evaluations
+    - null
+  - - n_jobs
+    - 1
+  - - n_startup_trials
+    - 10
+  - - n_timesteps
+    - -1
+  - - n_trials
+    - 500
+  - - no_optim_plots
+    - false
+  - - num_threads
+    - 4
+  - - optimization_log_path
+    - null
+  - - optimize_hyperparameters
+    - false
+  - - progress
+    - false
+  - - pruner
+    - median
+  - - sampler
+    - tpe
+  - - save_freq
+    - -1
+  - - save_replay_buffer
+    - false
+  - - seed
+    - 2958364144
+  - - storage
+    - null
+  - - study_name
+    - null
+  - - tensorboard_log
+    - ''
+  - - track
+    - false
+  - - trained_agent
+    - ''
+  - - truncate_last_trajectory
+    - true
+  - - uuid
+    - false
+  - - vec_env
+    - dummy
+  - - verbose
+    - 1
+  - - wandb_entity
+    - null
+  - - wandb_project_name
+    - sb3
+  - - wandb_tags
+    - []

config.yml

@@ -0,0 +1,25 @@
+!!python/object/apply:collections.OrderedDict
+- - - batch_size
+    - 2048
+  - - buffer_size
+    - 100000
+  - - gamma
+    - 0.95
+  - - learning_rate
+    - 0.000884624878315995
+  - - learning_starts
+    - 10000
+  - - n_timesteps
+    - 1000000.0
+  - - policy
+    - MlpPolicy
+  - - policy_kwargs
+    - log_std_init: -0.6932709443503001
+      net_arch:
+      - 64
+      - 64
+      use_sde: false
+  - - tau
+    - 0.01
+  - - train_freq
+    - 64

env_kwargs.yml

@@ -0,0 +1 @@
+render_mode: rgb_array

replay.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:03d977c437d6d6482691926d4170d09b1b96c6f5321d06e5a29e7170de8411f3
+size 2427924

results.json

@@ -0,0 +1 @@
+{"mean_reward": 1183.5162696, "std_reward": 22.649349480775626, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-09-19T11:52:51.514375"}

sac-seals-HalfCheetah-v1.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4532b2991f27daee4738c580c0e9a8ea69453b144fdeb7b3351c0865fac93dd4
+size 305704

sac-seals-HalfCheetah-v1/_stable_baselines3_version

@@ -0,0 +1 @@
+2.2.0a3

sac-seals-HalfCheetah-v1/actor.optimizer.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3098a35c186fec615721ef063e017aa78acdfd2c70e1c3846140100aa2351e90
+size 55453

sac-seals-HalfCheetah-v1/critic.optimizer.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:789843bffdbb6f5d2170d344cb3ad732d4f9921699b06bdbfb0a684d9d07fae6
+size 102329

sac-seals-HalfCheetah-v1/data

@@ -0,0 +1,129 @@
+{
+    "policy_class": {
+        ":type:": "<class 'abc.ABCMeta'>",
+        ":serialized:": "gAWVMAAAAAAAAACMHnN0YWJsZV9iYXNlbGluZXMzLnNhYy5wb2xpY2llc5SMCVNBQ1BvbGljeZSTlC4=",
+        "__module__": "stable_baselines3.sac.policies",
+        "__annotations__": "{'actor': <class 'stable_baselines3.sac.policies.Actor'>, 'critic': <class 'stable_baselines3.common.policies.ContinuousCritic'>, 'critic_target': <class 'stable_baselines3.common.policies.ContinuousCritic'>}",
+        "__doc__": "\n    Policy class (with both actor and critic) for SAC.\n\n    :param observation_space: Observation space\n    :param action_space: Action space\n    :param lr_schedule: Learning rate schedule (could be constant)\n    :param net_arch: The specification of the policy and value networks.\n    :param activation_fn: Activation function\n    :param use_sde: Whether to use State Dependent Exploration or not\n    :param log_std_init: Initial value for the log standard deviation\n    :param use_expln: Use ``expln()`` function instead of ``exp()`` when using gSDE to ensure\n        a positive standard deviation (cf paper). It allows to keep variance\n        above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n    :param clip_mean: Clip the mean output when using gSDE to avoid numerical instability.\n    :param features_extractor_class: Features extractor to use.\n    :param features_extractor_kwargs: Keyword arguments\n        to pass to the features extractor.\n    :param normalize_images: Whether to normalize images or not,\n         dividing by 255.0 (True by default)\n    :param optimizer_class: The optimizer to use,\n        ``th.optim.Adam`` by default\n    :param optimizer_kwargs: Additional keyword arguments,\n        excluding the learning rate, to pass to the optimizer\n    :param n_critics: Number of critic networks to create.\n    :param share_features_extractor: Whether to share or not the features extractor\n        between the actor and the critic (this saves computation time)\n    ",
+        "__init__": "<function SACPolicy.__init__ at 0x7ff313e89700>",
+        "_build": "<function SACPolicy._build at 0x7ff313e89790>",
+        "_get_constructor_parameters": "<function SACPolicy._get_constructor_parameters at 0x7ff313e89820>",
+        "reset_noise": "<function SACPolicy.reset_noise at 0x7ff313e898b0>",
+        "make_actor": "<function SACPolicy.make_actor at 0x7ff313e89940>",
+        "make_critic": "<function SACPolicy.make_critic at 0x7ff313e899d0>",
+        "forward": "<function SACPolicy.forward at 0x7ff313e89a60>",
+        "_predict": "<function SACPolicy._predict at 0x7ff313e89af0>",
+        "set_training_mode": "<function SACPolicy.set_training_mode at 0x7ff313e89b80>",
+        "__abstractmethods__": "frozenset()",
+        "_abc_impl": "<_abc_data object at 0x7ff313e80b40>"
+    },
+    "verbose": 1,
+    "policy_kwargs": {
+        "net_arch": [
+            64,
+            64
+        ],
+        "log_std_init": -0.6932709443503001,
+        "use_sde": false
+    },
+    "num_timesteps": 1000000,
+    "_total_timesteps": 1000000,
+    "_num_timesteps_at_start": 0,
+    "seed": 0,
+    "action_noise": null,
+    "start_time": 1694771152497198306,
+    "learning_rate": {
+        ":type:": "<class 'function'>",
+        ":serialized:": "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"
+    },
+    "tensorboard_log": null,
+    "_last_obs": null,
+    "_last_episode_starts": {
+        ":type:": "<class 'numpy.ndarray'>",
+        ":serialized:": "gAWVdAAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYBAAAAAAAAAAGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwGFlIwBQ5R0lFKULg=="
+    },
+    "_last_original_obs": {
+        ":type:": "<class 'numpy.ndarray'>",
+        ":serialized:": "gAWVBQEAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJaQAAAAAAAAAArbnzHbxFJA7/V3QWPb3L9mOu9+IQMMQIon2RFVBeG/ySGl81MI5b8iH4g7bw/SP1ynJSlQw8I/5VlgdExc3T+UlV5h2GHRPwZyEkVM2PQ/8whm69pbyz9YLvYXASj0v2mr/OJJ7eE/+GLJfltS5b/e2lOclzQbwAlSG11CRB3AECktt6c4B0ApBR/0NTgTwJSMBW51bXB5lIwFZHR5cGWUk5SMAmY4lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGJLAUsShpSMAUOUdJRSlC4="
+    },
+    "_episode_num": 1000,
+    "use_sde": false,
+    "sde_sample_freq": -1,
+    "_current_progress_remaining": 0.0,
+    "_stats_window_size": 100,
+    "ep_info_buffer": {
+        ":type:": "<class 'collections.deque'>",
+        ":serialized:": "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"
+    },
+    "ep_success_buffer": {
+        ":type:": "<class 'collections.deque'>",
+        ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
+    },
+    "_n_updates": 15469,
+    "observation_space": {
+        ":type:": "<class 'gymnasium.spaces.box.Box'>",
+        ":serialized:": "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",
+        "dtype": "float64",
+        "bounded_below": "[False False False False False False False False False False False False\n False False False False False False]",
+        "bounded_above": "[False False False False False False False False False False False False\n False False False False False False]",
+        "_shape": [
+            18
+        ],
+        "low": "[-inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf\n -inf -inf -inf -inf]",
+        "high": "[inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf]",
+        "low_repr": "-inf",
+        "high_repr": "inf",
+        "_np_random": null
+    },
+    "action_space": {
+        ":type:": "<class 'gymnasium.spaces.box.Box'>",
+        ":serialized:": "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",
+        "dtype": "float32",
+        "bounded_below": "[ True  True  True  True  True  True]",
+        "bounded_above": "[ True  True  True  True  True  True]",
+        "_shape": [
+            6
+        ],
+        "low": "[-1. -1. -1. -1. -1. -1.]",
+        "high": "[1. 1. 1. 1. 1. 1.]",
+        "low_repr": "-1.0",
+        "high_repr": "1.0",
+        "_np_random": "Generator(PCG64)"
+    },
+    "n_envs": 1,
+    "buffer_size": 1,
+    "batch_size": 2048,
+    "learning_starts": 10000,
+    "tau": 0.01,
+    "gamma": 0.95,
+    "gradient_steps": 1,
+    "optimize_memory_usage": false,
+    "replay_buffer_class": {
+        ":type:": "<class 'abc.ABCMeta'>",
+        ":serialized:": "gAWVNQAAAAAAAACMIHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5idWZmZXJzlIwMUmVwbGF5QnVmZmVylJOULg==",
+        "__module__": "stable_baselines3.common.buffers",
+        "__doc__": "\n    Replay buffer used in off-policy algorithms like SAC/TD3.\n\n    :param buffer_size: Max number of element in the buffer\n    :param observation_space: Observation space\n    :param action_space: Action space\n    :param device: PyTorch device\n    :param n_envs: Number of parallel environments\n    :param optimize_memory_usage: Enable a memory efficient variant\n        of the replay buffer which reduces by almost a factor two the memory used,\n        at a cost of more complexity.\n        See https://github.com/DLR-RM/stable-baselines3/issues/37#issuecomment-637501195\n        and https://github.com/DLR-RM/stable-baselines3/pull/28#issuecomment-637559274\n        Cannot be used in combination with handle_timeout_termination.\n    :param handle_timeout_termination: Handle timeout termination (due to timelimit)\n        separately and treat the task as infinite horizon task.\n        https://github.com/DLR-RM/stable-baselines3/issues/284\n    ",
+        "__init__": "<function ReplayBuffer.__init__ at 0x7ff313ed7700>",
+        "add": "<function ReplayBuffer.add at 0x7ff313ed7790>",
+        "sample": "<function ReplayBuffer.sample at 0x7ff313ed7820>",
+        "_get_samples": "<function ReplayBuffer._get_samples at 0x7ff313ed78b0>",
+        "_maybe_cast_dtype": "<staticmethod object at 0x7ff313ed0850>",
+        "__abstractmethods__": "frozenset()",
+        "_abc_impl": "<_abc_data object at 0x7ff313ed0870>"
+    },
+    "replay_buffer_kwargs": {},
+    "train_freq": {
+        ":type:": "<class 'stable_baselines3.common.type_aliases.TrainFreq'>",
+        ":serialized:": "gAWVYQAAAAAAAACMJXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi50eXBlX2FsaWFzZXOUjAlUcmFpbkZyZXGUk5RLQGgAjBJUcmFpbkZyZXF1ZW5jeVVuaXSUk5SMBHN0ZXCUhZRSlIaUgZQu"
+    },
+    "use_sde_at_warmup": false,
+    "target_entropy": -6.0,
+    "ent_coef": "auto",
+    "target_update_interval": 1,
+    "lr_schedule": {
+        ":type:": "<class 'function'>",
+        ":serialized:": "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"
+    },
+    "batch_norm_stats": [],
+    "batch_norm_stats_target": []
+}

sac-seals-HalfCheetah-v1/ent_coef_optimizer.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c7b6e2491976823ed5614ebbe99fc5bac520cd032e37f6fa8c689af1fa34a5df
+size 1507

sac-seals-HalfCheetah-v1/policy.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:62d61ccfb530d7d0f7c5b041c05dbb97d2ad871d8949dfa6bb10aeb2ac5878dc
+size 128261

sac-seals-HalfCheetah-v1/pytorch_variables.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:efbdbacbd3325e414982ffd4d836a76db7baf1abde4778bc1ff76ad0c66eb925
+size 747

sac-seals-HalfCheetah-v1/system_info.txt

@@ -0,0 +1,9 @@
+- OS: Linux-5.4.0-156-generic-x86_64-with-glibc2.29 # 173-Ubuntu SMP Tue Jul 11 07:25:22 UTC 2023
+- Python: 3.8.10
+- Stable-Baselines3: 2.2.0a3
+- PyTorch: 2.0.1+cu117
+- GPU Enabled: False
+- Numpy: 1.24.4
+- Cloudpickle: 2.2.1
+- Gymnasium: 0.29.1
+- OpenAI Gym: 0.21.0

train_eval_metrics.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:be506b28850193dd6638a80f4c095c21b27d667a226cd16e87193ec97bbf5238
+size 29294