Linking pages
- Introducing Google Research Football: A Novel Reinforcement Learning Environment – Google AI Blog https://ai.googleblog.com/2019/06/introducing-google-research-football.html 29 comments
- ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots – Google AI Blog https://ai.googleblog.com/2019/10/robel-robotics-benchmarks-for-learning.html 25 comments
- Google Research: Looking Back at 2019, and Forward to 2020 and Beyond – Google AI Blog https://ai.googleblog.com/2020/01/google-research-looking-back-at-2019.html 18 comments
- Introducing PlaNet: A Deep Planning Network for Reinforcement Learning – Google AI Blog https://ai.googleblog.com/2019/02/introducing-planet-deep-planning.html 3 comments
- Unifying Physics and Deep Learning with TossingBot – Google AI Blog https://ai.googleblog.com/2019/03/unifying-physics-and-deep-learning-with.html 0 comments
- Introducing Dreamer: Scalable Reinforcement Learning Using World Models – Google AI Blog https://ai.googleblog.com/2020/03/introducing-dreamer-scalable.html 0 comments
- Learning to Generalize from Sparse and Underspecified Rewards – Google AI Blog https://ai.googleblog.com/2019/02/learning-to-generalize-from-sparse-and.html 0 comments
- Duality — A New Approach to Reinforcement Learning – Google AI Blog https://ai.googleblog.com/2020/07/duality-new-approach-to-reinforcement.html 0 comments
- Off-Policy Classification - A New Reinforcement Learning Model Selection Method – Google AI Blog https://ai.googleblog.com/2019/06/off-policy-classification-new.html 0 comments
- Imitation Learning in the Low-Data Regime – Google AI Blog https://ai.googleblog.com/2020/09/imitation-learning-in-low-data-regime.html 0 comments
- Agile and Intelligent Locomotion via Deep Reinforcement Learning – Google AI Blog https://ai.googleblog.com/2020/05/agile-and-intelligent-locomotion-via.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
- 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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