Initial commit
Browse files- .gitattributes +1 -0
- README.md +57 -0
- args.yml +65 -0
- config.yml +7 -0
- env_kwargs.yml +1 -0
- replay.mp4 +3 -0
- results.json +1 -0
- td3-HalfCheetah-v3.zip +3 -0
- td3-HalfCheetah-v3/_stable_baselines3_version +1 -0
- td3-HalfCheetah-v3/actor.optimizer.pth +3 -0
- td3-HalfCheetah-v3/critic.optimizer.pth +3 -0
- td3-HalfCheetah-v3/data +110 -0
- td3-HalfCheetah-v3/policy.pth +3 -0
- td3-HalfCheetah-v3/pytorch_variables.pth +3 -0
- td3-HalfCheetah-v3/system_info.txt +7 -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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- HalfCheetah-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: TD3
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results:
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- metrics:
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- type: mean_reward
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value: 9709.01 +/- 104.84
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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: HalfCheetah-v3
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type: HalfCheetah-v3
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---
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# **TD3** Agent playing **HalfCheetah-v3**
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This is a trained model of a **TD3** agent playing **HalfCheetah-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 td3 --env HalfCheetah-v3 -orga sb3 -f logs/
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python enjoy.py --algo td3 --env HalfCheetah-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 td3 --env HalfCheetah-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 td3 --env HalfCheetah-v3 -f logs/ -orga sb3
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```
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## Hyperparameters
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```python
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OrderedDict([('learning_starts', 10000),
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('n_timesteps', 1000000.0),
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('policy', 'MlpPolicy'),
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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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- td3
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- - env
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- HalfCheetah-v3
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- - env_kwargs
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- null
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- - eval_episodes
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- 20
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- - eval_freq
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- 10000
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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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- 10
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- - n_eval_envs
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- 5
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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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- - no_optim_plots
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- false
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- - num_threads
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- 2
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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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- 594371
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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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- true
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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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- - - learning_starts
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- 10000
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- - n_timesteps
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- 1000000.0
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- - policy
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- MlpPolicy
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env_kwargs.yml
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{}
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replay.mp4
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:fe89cfa92e4c36a934a63eb325d2323e5e2c5d0b4c220d94003fe2aa743f7972
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size 1409533
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results.json
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{"mean_reward": 9709.0085106, "std_reward": 104.84186014370708, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-06-02T15:03:04.613226"}
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td3-HalfCheetah-v3.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:93a87511ea3edf35d07f2d4a4c402d9ef562f8d85c9733c5e0e5961879dbe9b2
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size 6277341
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td3-HalfCheetah-v3/_stable_baselines3_version
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1.5.1a8
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td3-HalfCheetah-v3/actor.optimizer.pth
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:55aed5e078fed317a150cc51b2d1c32c616509b060f652789f3f23d8dea4124f
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size 1037761
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td3-HalfCheetah-v3/critic.optimizer.pth
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:6c70f5067ddc44994361fad4dd2d281523b8b000fa66e1388e8718fb246a63c5
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size 2089629
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td3-HalfCheetah-v3/data
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{
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"policy_class": {
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":type:": "<class 'abc.ABCMeta'>",
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":serialized:": "gASVMAAAAAAAAACMHnN0YWJsZV9iYXNlbGluZXMzLnRkMy5wb2xpY2llc5SMCVREM1BvbGljeZSTlC4=",
|
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"__module__": "stable_baselines3.td3.policies",
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"__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 0x7f88079e6170>",
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"_build": "<function TD3Policy._build at 0x7f88079e6200>",
|
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"_get_constructor_parameters": "<function TD3Policy._get_constructor_parameters at 0x7f88079e6290>",
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"make_actor": "<function TD3Policy.make_actor at 0x7f88079e6320>",
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+
"make_critic": "<function TD3Policy.make_critic at 0x7f88079e63b0>",
|
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+
"forward": "<function TD3Policy.forward at 0x7f88079e6440>",
|
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"_predict": "<function TD3Policy._predict at 0x7f88079e64d0>",
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+
"set_training_mode": "<function TD3Policy.set_training_mode at 0x7f88079e6560>",
|
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+
"__abstractmethods__": "frozenset()",
|
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+
"_abc_impl": "<_abc_data object at 0x7f88079e2210>"
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},
|
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+
"verbose": 1,
|
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"policy_kwargs": {},
|
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+
"observation_space": {
|
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+
":type:": "<class 'gym.spaces.box.Box'>",
|
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+
":serialized:": "gASVpQIAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY4lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMA2xvd5SMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMDF9yZWNvbnN0cnVjdJSTlGgGjAduZGFycmF5lJOUSwCFlEMBYpSHlFKUKEsBSxGFlGgKiUOIAAAAAAAA8P8AAAAAAADw/wAAAAAAAPD/AAAAAAAA8P8AAAAAAADw/wAAAAAAAPD/AAAAAAAA8P8AAAAAAADw/wAAAAAAAPD/AAAAAAAA8P8AAAAAAADw/wAAAAAAAPD/AAAAAAAA8P8AAAAAAADw/wAAAAAAAPD/AAAAAAAA8P8AAAAAAADw/5R0lGKMBGhpZ2iUaBBoEksAhZRoFIeUUpQoSwFLEYWUaAqJQ4gAAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/AAAAAAAA8H8AAAAAAADwfwAAAAAAAPB/lHSUYowNYm91bmRlZF9iZWxvd5RoEGgSSwCFlGgUh5RSlChLAUsRhZRoB4wCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYolDEQAAAAAAAAAAAAAAAAAAAAAAlHSUYowNYm91bmRlZF9hYm92ZZRoEGgSSwCFlGgUh5RSlChLAUsRhZRoKIlDEQAAAAAAAAAAAAAAAAAAAAAAlHSUYowKX25wX3JhbmRvbZROjAZfc2hhcGWUSxGFlHViLg==",
|
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+
"dtype": "float64",
|
24 |
+
"low": "[-inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf\n -inf -inf -inf]",
|
25 |
+
"high": "[inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf]",
|
26 |
+
"bounded_below": "[False False False False False False False False False False False False\n False False False False False]",
|
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+
"bounded_above": "[False False False False False False False False False False False False\n False False False False False]",
|
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+
"_np_random": null,
|
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"_shape": [
|
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+
17
|
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+
]
|
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+
},
|
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"action_space": {
|
34 |
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":type:": "<class 'gym.spaces.box.Box'>",
|
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":type:": "<class 'stable_baselines3.common.type_aliases.TrainFreq'>",
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|
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|
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}
|
td3-HalfCheetah-v3/policy.pth
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:a196d56df4b246ba71969a078d43a28df7274a77ee8c0af9f6897ac6a33f6278
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td3-HalfCheetah-v3/pytorch_variables.pth
ADDED
@@ -0,0 +1,3 @@
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td3-HalfCheetah-v3/system_info.txt
ADDED
@@ -0,0 +1,7 @@
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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
|
train_eval_metrics.zip
ADDED
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