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ppo-seals-Humanoid-v1

Reinforcement Learning
stable-baselines3
seals/Humanoid-v1
deep-reinforcement-learning
Eval Results
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  1. .gitattributes +1 -0
  2. README.md +94 -0
  3. args.yml +81 -0
  4. config.yml +41 -0
  5. env_kwargs.yml +1 -0
  6. ppo-seals-Humanoid-v1.zip +3 -0
  7. ppo-seals-Humanoid-v1/_stable_baselines3_version +1 -0
  8. ppo-seals-Humanoid-v1/data +123 -0
  9. ppo-seals-Humanoid-v1/policy.optimizer.pth +3 -0
  10. ppo-seals-Humanoid-v1/policy.pth +3 -0
  11. ppo-seals-Humanoid-v1/pytorch_variables.pth +3 -0
  12. ppo-seals-Humanoid-v1/system_info.txt +9 -0
  13. replay.mp4 +3 -0
  14. results.json +1 -0
  15. train_eval_metrics.zip +3 -0
  16. vec_normalize.pkl +3 -0
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
@@ -0,0 +1,94 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ library_name: stable-baselines3
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+ tags:
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+ - seals/Humanoid-v1
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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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+ - 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: seals/Humanoid-v1
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+ type: seals/Humanoid-v1
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+ metrics:
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+ - type: mean_reward
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+ value: 3224.12 +/- 925.36
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+ name: mean_reward
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+ verified: false
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+ ---
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+
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+ # **PPO** Agent playing **seals/Humanoid-v1**
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+ This is a trained model of a **PPO** agent playing **seals/Humanoid-v1**
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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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+
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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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+
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+ ## Usage (with SB3 RL Zoo)
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+
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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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+ Install the RL Zoo (with SB3 and SB3-Contrib):
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+ ```bash
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+ pip install rl_zoo3
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+ ```
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+
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+ ```
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+ # Download model and save it into the logs/ folder
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+ python -m rl_zoo3.load_from_hub --algo ppo --env seals/Humanoid-v1 -orga HumanCompatibleAI -f logs/
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+ python -m rl_zoo3.enjoy --algo ppo --env seals/Humanoid-v1 -f logs/
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+ ```
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+
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+ If you installed the RL Zoo3 via pip (`pip install rl_zoo3`), from anywhere you can do:
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+ ```
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+ python -m rl_zoo3.load_from_hub --algo ppo --env seals/Humanoid-v1 -orga HumanCompatibleAI -f logs/
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+ python -m rl_zoo3.enjoy --algo ppo --env seals/Humanoid-v1 -f logs/
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+ ```
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+
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+ ## Training (with the RL Zoo)
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+ ```
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+ python -m rl_zoo3.train --algo ppo --env seals/Humanoid-v1 -f logs/
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+ # Upload the model and generate video (when possible)
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+ python -m rl_zoo3.push_to_hub --algo ppo --env seals/Humanoid-v1 -f logs/ -orga HumanCompatibleAI
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+ ```
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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', 0.2),
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+ ('ent_coef', 2.0745206045994986e-05),
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+ ('gae_lambda', 0.92),
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+ ('gamma', 0.999),
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+ ('learning_rate', 2.0309225666232827e-05),
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+ ('max_grad_norm', 0.5),
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+ ('n_envs', 1),
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+ ('n_epochs', 20),
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+ ('n_steps', 2048),
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+ ('n_timesteps', 10000000.0),
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+ ('normalize',
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+ {'gamma': 0.999, 'norm_obs': False, 'norm_reward': True}),
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+ ('policy', 'MlpPolicy'),
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+ ('policy_kwargs',
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+ {'activation_fn': <class 'torch.nn.modules.activation.ReLU'>,
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+ 'features_extractor_class': <class 'imitation.policies.base.NormalizeFeaturesExtractor'>,
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+ 'net_arch': [{'pi': [256, 256], 'vf': [256, 256]}]}),
83
+ ('vf_coef', 0.819262464558427),
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+ ('normalize_kwargs',
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+ {'norm_obs': {'gamma': 0.999,
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+ 'norm_obs': False,
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+ 'norm_reward': True},
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+ 'norm_reward': False})])
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+ ```
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+
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+ # Environment Arguments
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+ ```python
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+ {'render_mode': 'rgb_array'}
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+ ```
args.yml ADDED
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+ !!python/object/apply:collections.OrderedDict
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+ - 4
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+ - - tensorboard_log
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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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+ - - wandb_entity
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+ - null
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+ - - wandb_project_name
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+ - sb3
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+ - []
config.yml ADDED
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+ !!python/object/apply:collections.OrderedDict
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+ - 256
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+ - - clip_range
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+ - 0.2
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+ norm_reward: true
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+ - - policy
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+ - MlpPolicy
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+ - - policy_kwargs
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+ - activation_fn: !!python/name:torch.nn.modules.activation.ReLU ''
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+ features_extractor_class: !!python/name:imitation.policies.base.NormalizeFeaturesExtractor ''
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+ net_arch:
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