Quentin Gallouédec commited on
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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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+ - 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: TQC
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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: HalfCheetah-v3
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+ type: HalfCheetah-v3
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+ metrics:
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+ - type: mean_reward
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+ value: 12342.83 +/- 217.98
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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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+ # **TQC** Agent playing **HalfCheetah-v3**
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+ This is a trained model of a **TQC** 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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+
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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 tqc --env HalfCheetah-v3 -orga qgallouedec -f logs/
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+ python -m rl_zoo3.enjoy --algo tqc --env HalfCheetah-v3 -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 tqc --env HalfCheetah-v3 -orga qgallouedec -f logs/
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+ python -m rl_zoo3.enjoy --algo tqc --env HalfCheetah-v3 -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 tqc --env HalfCheetah-v3 -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 tqc --env HalfCheetah-v3 -f logs/ -orga qgallouedec
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+ ```
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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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+ !!python/object/apply:collections.OrderedDict
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+ - - - algo
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+ - tqc
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+ - - conf_file
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+ - null
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+ - - device
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+ - auto
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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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+ - 25000
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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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+ - - track
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+ - - truncate_last_trajectory
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+ - true
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+ - - uuid
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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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+ - openrlbenchmark
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+ - - wandb_project_name
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+ - sb3
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+ - - wandb_tags
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+ - []
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+ - - yaml_file
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+ - null
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+ - 10000
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