- "Soft Actor Critic: Deep Reinforcement Learning with Real-World Robots", Haarnoja et al 2018 {BAIR/GB} [source code release] https://bair.berkeley.edu/blog/2018/12/14/sac/ 4 comments reinforcementlearning
Linking pages
- End-to-End Deep Reinforcement Learning without Reward Engineering – The Berkeley Artificial Intelligence Research Blog https://bair.berkeley.edu/blog/2019/05/28/end-to-end/ 4 comments
- Four Novel Approaches to Manipulating Fabric using Model-Free and Model-Based Deep Learning in Simulation – The Berkeley Artificial Intelligence Research Blog https://bair.berkeley.edu/blog/2020/05/05/fabrics/ 0 comments
- GitHub - beyretb/AnimalAI-Olympics: Code repository for the Animal AI Olympics competition https://github.com/beyretb/AnimalAI-Olympics 0 comments
- Learning to Drive Smoothly in Minutes | by Antonin RAFFIN | Towards Data Science https://towardsdatascience.com/learning-to-drive-smoothly-in-minutes-450a7cdb35f4 0 comments
- Soft Actor-Critic: Deep Reinforcement Learning for Robotics – Google AI Blog http://ai.googleblog.com/2019/01/soft-actor-critic-deep-reinforcement.html 0 comments
Linked pages
- 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
- 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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