Initial commit
Browse files- .gitattributes +1 -0
- README.md +67 -0
- args.yml +59 -0
- config.yml +25 -0
- env_kwargs.yml +1 -0
- ppo-SeaquestNoFrameskip-v4.zip +3 -0
- ppo-SeaquestNoFrameskip-v4/_stable_baselines3_version +1 -0
- ppo-SeaquestNoFrameskip-v4/data +0 -0
- ppo-SeaquestNoFrameskip-v4/policy.optimizer.pth +3 -0
- ppo-SeaquestNoFrameskip-v4/policy.pth +3 -0
- ppo-SeaquestNoFrameskip-v4/pytorch_variables.pth +3 -0
- ppo-SeaquestNoFrameskip-v4/system_info.txt +7 -0
- replay.mp4 +3 -0
- results.json +1 -0
- train_eval_metrics.zip +3 -0
.gitattributes
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@@ -25,3 +25,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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library_name: stable-baselines3
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tags:
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- SeaquestNoFrameskip-v4
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- deep-reinforcement-learning
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- reinforcement-learning
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- stable-baselines3
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model-index:
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- name: PPO
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results:
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- metrics:
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- type: mean_reward
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value: 1782.00 +/- 43.31
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name: mean_reward
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task:
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type: reinforcement-learning
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name: reinforcement-learning
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dataset:
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name: SeaquestNoFrameskip-v4
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type: SeaquestNoFrameskip-v4
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---
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# **PPO** Agent playing **SeaquestNoFrameskip-v4**
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This is a trained model of a **PPO** agent playing **SeaquestNoFrameskip-v4**
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using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
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and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
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The RL Zoo is a training framework for Stable Baselines3
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reinforcement learning agents,
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with hyperparameter optimization and pre-trained agents included.
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## Usage (with SB3 RL Zoo)
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RL Zoo: https://github.com/DLR-RM/rl-baselines3-zoo<br/>
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SB3: https://github.com/DLR-RM/stable-baselines3<br/>
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SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
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```
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# Download model and save it into the logs/ folder
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python -m utils.load_from_hub --algo ppo --env SeaquestNoFrameskip-v4 -orga sb3 -f logs/
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python enjoy.py --algo ppo --env SeaquestNoFrameskip-v4 -f logs/
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```
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## Training (with the RL Zoo)
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```
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python train.py --algo ppo --env SeaquestNoFrameskip-v4 -f logs/
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# Upload the model and generate video (when possible)
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python -m utils.push_to_hub --algo ppo --env SeaquestNoFrameskip-v4 -f logs/ -orga sb3
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```
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## Hyperparameters
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```python
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OrderedDict([('batch_size', 256),
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('clip_range', 'lin_0.1'),
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('ent_coef', 0.01),
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('env_wrapper',
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['stable_baselines3.common.atari_wrappers.AtariWrapper']),
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('frame_stack', 4),
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('learning_rate', 'lin_2.5e-4'),
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('n_envs', 8),
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('n_epochs', 4),
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('n_steps', 128),
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('n_timesteps', 10000000.0),
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('policy', 'CnnPolicy'),
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('vf_coef', 0.5),
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('normalize', False)])
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```
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args.yml
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!!python/object/apply:collections.OrderedDict
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- - - algo
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- ppo
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- - env
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- SeaquestNoFrameskip-v4
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- - env_kwargs
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- null
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- - eval_episodes
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- 10
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- - eval_freq
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- 50000
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- - gym_packages
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- []
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- - hyperparams
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- null
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- - log_folder
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- rl-trained-agents/
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- - log_interval
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- -1
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- - n_evaluations
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- 20
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- - n_jobs
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- 1
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- - n_startup_trials
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- 10
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- - n_timesteps
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- -1
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- - n_trials
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- 10
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- - num_threads
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- -1
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- - optimize_hyperparameters
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- false
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- - pruner
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- median
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- - sampler
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- tpe
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- - save_freq
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- -1
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- - save_replay_buffer
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- false
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- - seed
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- 2862830927
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- - storage
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- null
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- - study_name
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- null
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- - tensorboard_log
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- ''
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- - trained_agent
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- ''
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- - truncate_last_trajectory
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- true
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- - uuid
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- false
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- - vec_env
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- dummy
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- - verbose
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- 1
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config.yml
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!!python/object/apply:collections.OrderedDict
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- - - batch_size
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- 256
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- - clip_range
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- lin_0.1
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- - ent_coef
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- 0.01
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- - env_wrapper
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9 |
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- - stable_baselines3.common.atari_wrappers.AtariWrapper
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- - frame_stack
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- 4
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- - learning_rate
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- lin_2.5e-4
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- - n_envs
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- 8
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- - n_epochs
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- 4
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- - n_steps
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- 128
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- - n_timesteps
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- 10000000.0
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- - policy
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- CnnPolicy
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- - vf_coef
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- 0.5
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env_kwargs.yml
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{}
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ppo-SeaquestNoFrameskip-v4.zip
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:421cbfb52f3b2e957ef17f7930f7a023203dc02dca8e6e32c68c3154b64fb931
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size 20513325
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ppo-SeaquestNoFrameskip-v4/_stable_baselines3_version
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1.5.1a8
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ppo-SeaquestNoFrameskip-v4/data
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See raw diff
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ppo-SeaquestNoFrameskip-v4/policy.optimizer.pth
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:0976089e2bd2de527d2bfad5807e025288318f7d0ada72f229e7bc8ed06669a3
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size 13557597
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ppo-SeaquestNoFrameskip-v4/policy.pth
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:39a8390605e4775ad9e9f4892f04c0489272d04a7da7f42a4fc0632f244e1a4e
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+
size 6779649
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ppo-SeaquestNoFrameskip-v4/pytorch_variables.pth
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:d030ad8db708280fcae77d87e973102039acd23a11bdecc3db8eb6c0ac940ee1
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size 431
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ppo-SeaquestNoFrameskip-v4/system_info.txt
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OS: Linux-5.13.0-44-generic-x86_64-with-debian-bullseye-sid #49~20.04.1-Ubuntu SMP Wed May 18 18:44:28 UTC 2022
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Python: 3.7.10
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Stable-Baselines3: 1.5.1a8
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PyTorch: 1.11.0
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GPU Enabled: True
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Numpy: 1.21.2
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Gym: 0.21.0
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replay.mp4
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:1baf987c632af10f0fb089c508bcc4794cbc3a1ef7e1380a25cf455ce15578fd
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size 159701
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results.json
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{"mean_reward": 1782.0, "std_reward": 43.31281565541543, "is_deterministic": false, "n_eval_episodes": 10, "eval_datetime": "2022-06-02T14:07:14.950405"}
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train_eval_metrics.zip
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:6ca3433245d4b99d4b7604d7724b6e622402521764a9a479f187be94a52360f3
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+
size 151339
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