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ray/rllib/agents/sac
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Sven Mika 5c6d5d4ab1
This PR fixes the currently broken lstm_use_prev_action_reward flag for default lstm models (model.use_lstm=True). (#8970)
2020-06-27 20:50:01 +02:00
..
tests [RLlib] Minor cleanup in preparation to tf2.x support. (#9130) 2020-06-25 19:01:32 +02:00
__init__.py [RLlib] SAC Torch (incl. Atari learning) (#7984) 2020-04-15 13:25:16 +02:00
README.md [RLlib] Attention Net integration into ModelV2 and learning RL example. (#8371) 2020-05-18 17:26:40 +02:00
sac.py [RLlib] Minor cleanup in preparation to tf2.x support. (#9130) 2020-06-25 19:01:32 +02:00
sac_tf_model.py [RLlib] DQN and SAC Atari benchmark fixes. (#7962) 2020-04-17 08:49:15 +02:00
sac_tf_policy.py This PR fixes the currently broken lstm_use_prev_action_reward flag for default lstm models (model.use_lstm=True). (#8970) 2020-06-27 20:50:01 +02:00
sac_torch_model.py [Testing] Fix LINT/sphinx errors. (#8874) 2020-06-10 15:41:59 +02:00
sac_torch_policy.py [RLlib] Minor cleanup in preparation to tf2.x support. (#9130) 2020-06-25 19:01:32 +02:00

README.md

Implementation of the Soft Actor-Critic algorithm:

[1] Soft Actor-Critic Algorithms and Applications - T. Haarnoja, A. Zhou, K. Hartikainen, et al. https://arxiv.org/abs/1812.05905.pdf

For supporting discrete action spaces, we implemented this patch on top of the original algorithm: [2] Soft Actor-Critic for Discrete Action Settings - Petros Christodoulou https://arxiv.org/pdf/1910.07207v2.pdf