Fix rllib related documentation and examples. #2132
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Failing docs test is expected because |
Adaickalavan
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Jan 5, 2024
| @@ -6,17 +6,17 @@ RLlib | |||
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| **RLlib** is an open-source library for reinforcement learning that offers both high scalability and a unified API for a variety of applications. ``RLlib`` natively supports ``TensorFlow``, ``TensorFlow Eager``, and ``PyTorch``. Most of its internals are agnostic to such deep learning frameworks. | |||
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| SMARTS contains two examples using `Policy Gradients (PG) <https://docs.ray.io/en/latest/rllib-algorithms.html#policy-gradients-pg>`_. | |||
| SMARTS contains two examples using `Proximal Policy Optimization (PPO) <https://docs.ray.io/en/latest/rllib/rllib-algorithms.html#ppo>`_. | |||
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| #. Policy gradient | |||
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I pushed a fix to these on master.
Adaickalavan
reviewed
Jan 5, 2024
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| #. Policy gradient | ||
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| + script: :examples:`e12_rllib/pg_example.py` | ||
| + script: :examples:`e12_rllib/ppo_example.py` | ||
| + Shows the basics of using RLlib with SMARTS through :class:`~smarts.env.rllib_hiway_env.RLlibHiWayEnv`. | ||
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| #. Policy gradient with population based training |
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PPO with population based training
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See changelog.