- Learning Diverse Skills via Maximum Entropy Deep Reinforcement Learning – The Berkeley Artificial Intelligence Research Blog https://bair.berkeley.edu/blog/2017/10/06/soft-q-learning/ 15 comments
- GitHub - rail-berkeley/softlearning: Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm. https://github.com/rail-berkeley/softlearning 14 comments
- [1812.05905] Soft Actor-Critic Algorithms and Applications https://arxiv.org/abs/1812.05905 10 comments
- Soft Actor CriticâDeep Reinforcement Learning with Real-World Robots – The Berkeley Artificial Intelligence Research Blog https://bair.berkeley.edu/blog/2018/12/14/sac/ 4 comments
- Dexterous Manipulation with Reinforcement Learning: Efficient, General, and Low-Cost – The Berkeley Artificial Intelligence Research Blog https://bair.berkeley.edu/blog/2018/08/31/dexterous-manip/ 0 comments
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