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ray/rllib/agents/sac
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Sven Mika b4790900f5
[RLlib] Sub-class Trainer (instead of build_trainer()): All remaining classes; soft-deprecate build_trainer. (#20725)
2021-12-04 22:05:26 +01:00
..
tests [RLlib] Replay buffer API (cleanups; docstrings; renames; move into rllib/execution/buffers dir) (#20552) 2021-11-19 11:57:37 +01:00
__init__.py [RLlib] Add RNN-SAC agent (#16577) 2021-07-25 10:04:52 -04:00
README.md [RLlib] Improved Documentation for PPO, DDPG, and SAC (#12943) 2020-12-24 09:31:35 -05:00
rnnsac.py [RLlib] Sub-class Trainer (instead of build_trainer()): All remaining classes; soft-deprecate build_trainer. (#20725) 2021-12-04 22:05:26 +01:00
rnnsac_torch_model.py [RLlib] Add RNN-SAC agent (#16577) 2021-07-25 10:04:52 -04:00
rnnsac_torch_policy.py [RLlib] Use SampleBrach instead of input dict whenever possible (#20746) 2021-12-02 13:11:26 +01:00
sac.py [RLlib] Sub-class Trainer (instead of build_trainer()): All remaining classes; soft-deprecate build_trainer. (#20725) 2021-12-04 22:05:26 +01:00
sac_tf_model.py [RLlib] Use SampleBrach instead of input dict whenever possible (#20746) 2021-12-02 13:11:26 +01:00
sac_tf_policy.py [RLlib] Use SampleBrach instead of input dict whenever possible (#20746) 2021-12-02 13:11:26 +01:00
sac_torch_model.py [RLlib] Use SampleBrach instead of input dict whenever possible (#20746) 2021-12-02 13:11:26 +01:00
sac_torch_policy.py [RLlib] Use SampleBrach instead of input dict whenever possible (#20746) 2021-12-02 13:11:26 +01:00

README.md

Soft Actor Critic (SAC)

Overview

SAC is a SOTA model-free off-policy RL algorithm that performs remarkably well on continuous-control domains. SAC employs an actor-critic framework and combats high sample complexity and training stability via learning based on a maximum-entropy framework. Unlike the standard RL objective which aims to maximize sum of reward into the future, SAC seeks to optimize sum of rewards as well as expected entropy over the current policy. In addition to optimizing over an actor and critic with entropy-based objectives, SAC also optimizes for the entropy coeffcient.

Documentation & Implementation:

Soft Actor-Critic Algorithm (SAC) with also discrete-action support.

Detailed Documentation

Implementation