Commit
·
e2ae392
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Parent(s):
5716f8c
Initial commit
Browse files- .gitattributes +1 -0
- README.md +65 -0
- args.yml +75 -0
- config.yml +24 -0
- ddpg-BipedalWalker-v3.zip +3 -0
- ddpg-BipedalWalker-v3/_stable_baselines3_version +1 -0
- ddpg-BipedalWalker-v3/actor.optimizer.pth +3 -0
- ddpg-BipedalWalker-v3/critic.optimizer.pth +3 -0
- ddpg-BipedalWalker-v3/data +123 -0
- ddpg-BipedalWalker-v3/policy.pth +3 -0
- ddpg-BipedalWalker-v3/pytorch_variables.pth +3 -0
- ddpg-BipedalWalker-v3/system_info.txt +7 -0
- env_kwargs.yml +1 -0
- replay.mp4 +3 -0
- results.json +1 -0
- train_eval_metrics.zip +3 -0
.gitattributes
CHANGED
@@ -29,3 +29,4 @@ 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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*.zst 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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*.zst 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
ADDED
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---
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library_name: stable-baselines3
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tags:
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- BipedalWalker-v3
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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: DDPG
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results:
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- metrics:
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- type: mean_reward
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value: 287.74 +/- 81.94
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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: BipedalWalker-v3
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type: BipedalWalker-v3
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---
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# **DDPG** Agent playing **BipedalWalker-v3**
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This is a trained model of a **DDPG** agent playing **BipedalWalker-v3**
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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 ddpg --env BipedalWalker-v3 -orga jackoyoungblood -f logs/
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python enjoy.py --algo ddpg --env BipedalWalker-v3 -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 ddpg --env BipedalWalker-v3 -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 ddpg --env BipedalWalker-v3 -f logs/ -orga jackoyoungblood
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```
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## Hyperparameters
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```python
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OrderedDict([('buffer_size', 200000),
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('gamma', 0.98),
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('gradient_steps', -1),
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('learning_rate', 0.0001),
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('learning_starts', 10000),
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('n_timesteps', 1000000.0),
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('noise_std', 0.1),
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('noise_type', 'normal'),
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('policy', 'MlpPolicy'),
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('policy_kwargs', 'dict(net_arch=[400, 300])'),
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('train_freq', [1, 'episode']),
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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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+
- ddpg
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- - device
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+
- auto
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+
- - env
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+
- BipedalWalker-v3
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- - env_kwargs
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+
- null
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+
- - eval_episodes
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- 5
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+
- - eval_freq
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- 25000
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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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- logs/
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+
- - log_interval
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- -1
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+
- - max_total_trials
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+
- null
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+
- - n_eval_envs
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- 1
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- - n_evaluations
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- null
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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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- 500
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+
- - no_optim_plots
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+
- false
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- - num_threads
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- -1
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+
- - optimization_log_path
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- null
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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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+
- 3246674232
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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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+
- - track
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+
- false
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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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+
- - 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
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+
!!python/object/apply:collections.OrderedDict
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- - - buffer_size
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- 200000
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4 |
+
- - gamma
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5 |
+
- 0.98
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+
- - gradient_steps
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- -1
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+
- - learning_rate
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- 0.0001
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+
- - learning_starts
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+
- 10000
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+
- - n_timesteps
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13 |
+
- 1000000.0
|
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+
- - noise_std
|
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+
- 0.1
|
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+
- - noise_type
|
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+
- normal
|
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+
- - policy
|
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+
- MlpPolicy
|
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+
- - policy_kwargs
|
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+
- dict(net_arch=[400, 300])
|
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+
- - train_freq
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+
- - 1
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+
- episode
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ddpg-BipedalWalker-v3.zip
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version https://git-lfs.github.com/spec/v1
|
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+
oid sha256:a240b62dfdfa801ca07e11d0e3a6ca89f00ef01eb82b717bd3dcee4696034a5f
|
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+
size 4258764
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ddpg-BipedalWalker-v3/_stable_baselines3_version
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@@ -0,0 +1 @@
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1.6.0
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ddpg-BipedalWalker-v3/actor.optimizer.pth
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+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6471271c6e91edad869f4ab0d0db5c3908db0b57e978695739da9a73209960a5
|
3 |
+
size 1056879
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ddpg-BipedalWalker-v3/critic.optimizer.pth
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+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:74ad8027f2b6dfeaf74dfc70e924204790e1768ce78350ae865e5ab70eb3c4ef
|
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+
size 1062383
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ddpg-BipedalWalker-v3/data
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{
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"policy_class": {
|
3 |
+
":type:": "<class 'abc.ABCMeta'>",
|
4 |
+
":serialized:": "gASVMAAAAAAAAACMHnN0YWJsZV9iYXNlbGluZXMzLnRkMy5wb2xpY2llc5SMCVREM1BvbGljeZSTlC4=",
|
5 |
+
"__module__": "stable_baselines3.td3.policies",
|
6 |
+
"__doc__": "\n Policy class (with both actor and critic) for TD3.\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 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 ",
|
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+
"__init__": "<function TD3Policy.__init__ at 0x7f996e3e9290>",
|
8 |
+
"_build": "<function TD3Policy._build at 0x7f996e3e9320>",
|
9 |
+
"_get_constructor_parameters": "<function TD3Policy._get_constructor_parameters at 0x7f996e3e93b0>",
|
10 |
+
"make_actor": "<function TD3Policy.make_actor at 0x7f996e3e9440>",
|
11 |
+
"make_critic": "<function TD3Policy.make_critic at 0x7f996e3e94d0>",
|
12 |
+
"forward": "<function TD3Policy.forward at 0x7f996e3e9560>",
|
13 |
+
"_predict": "<function TD3Policy._predict at 0x7f996e3e95f0>",
|
14 |
+
"set_training_mode": "<function TD3Policy.set_training_mode at 0x7f996e3e9680>",
|
15 |
+
"__abstractmethods__": "frozenset()",
|
16 |
+
"_abc_impl": "<_abc_data object at 0x7f996e3dc450>"
|
17 |
+
},
|
18 |
+
"verbose": 1,
|
19 |
+
"policy_kwargs": {
|
20 |
+
"net_arch": [
|
21 |
+
400,
|
22 |
+
300
|
23 |
+
],
|
24 |
+
"n_critics": 1
|
25 |
+
},
|
26 |
+
"observation_space": {
|
27 |
+
":type:": "<class 'gym.spaces.box.Box'>",
|
28 |
+
":serialized:": "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",
|
29 |
+
"dtype": "float32",
|
30 |
+
"_shape": [
|
31 |
+
24
|
32 |
+
],
|
33 |
+
"low": "[-inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf\n -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf]",
|
34 |
+
"high": "[inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf\n inf inf inf inf inf inf]",
|
35 |
+
"bounded_below": "[False False False False False False False False False False False False\n False False False False False False False False False False False False]",
|
36 |
+
"bounded_above": "[False False False False False False False False False False False False\n False False False False False False False False False False False False]",
|
37 |
+
"_np_random": null
|
38 |
+
},
|
39 |
+
"action_space": {
|
40 |
+
":type:": "<class 'gym.spaces.box.Box'>",
|
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ddpg-BipedalWalker-v3/policy.pth
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ddpg-BipedalWalker-v3/pytorch_variables.pth
ADDED
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ddpg-BipedalWalker-v3/system_info.txt
ADDED
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OS: Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Sun Apr 24 10:03:06 PDT 2022
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Python: 3.7.13
|
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Stable-Baselines3: 1.6.0
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PyTorch: 1.12.1+cu113
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GPU Enabled: True
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Numpy: 1.21.6
|
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Gym: 0.21.0
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env_kwargs.yml
ADDED
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{}
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replay.mp4
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ADDED
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{"mean_reward": 287.73808399999996, "std_reward": 81.93576291275498, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-08-20T00:02:52.484796"}
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