Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
2019-07-15 22:23:02
Paper: https://arxiv.org/pdf/1801.01290.pdf or Updated Version: https://arxiv.org/pdf/1812.05905.pdf
Project: https://sites.google.com/view/soft-actor-critic or https://sites.google.com/view/sac-and-applications/
TensorFlow: https://github.com/haarnoja/sac
PyTorch: https://github.com/vitchyr/rlkit
Demo video: https://www.youtube.com/channel/UCxXt8Br3-wyluz9Q08-fsaA
Good Related Blog: https://zhuanlan.zhihu.com/p/70360272
==== Video Related Tutorials (A2C, A3C):
A brief review of Actor-Critic Algorithms: https://www.youtube.com/watch?v=aODdNpihRwM
CS885 Lecture 7b: Actor Critic: https://www.youtube.com/watch?v=5Ke-d1Itk3k
DRL Lecture 6: Actor-Critic: https://www.youtube.com/watch?v=j82QLgfhFiY&t=27s
Build an A2C agent that learns to play Sonic with Tensorflow (tutorial): https://www.youtube.com/watch?v=GCfUdkCL7FQ
Reinforcement Learning 6: Policy Gradients and Actor Critics (Deep Mind): https://www.youtube.com/watch?v=bRfUxQs6xIM&t=27s
Actor Critic (A3C) Tutorial: https://www.youtube.com/watch?v=O5BlozCJBSE
Actor Critic Algorithms: https://www.youtube.com/watch?v=w_3mmm0P0j8&t=2s
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