Jacob Beck and Risto Vuorio

TalkRL: The Reinforcement Learning Podcast

Jacob Beck and Risto Vuorio on their recent Survey of Meta-Reinforcement Learning. Jacob and Risto are Ph.D. students at Whiteson Research Lab at University of Oxford.

Featured Reference

A Survey of Meta-Reinforcement Learning
Jacob Beck, Risto Vuorio, Evan Zheran Liu, Zheng Xiong, Luisa Zintgraf, Chelsea Finn, Shimon Whiteson

Additional References

• VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning, Luisa Zintgraf et al
• Mastering Diverse Domains through World Models (Dreamerv3), Hafner et al
• Unsupervised Meta-Learning for Reinforcement Learning (MAML), Gupta et al
• Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices (DREAM), Liu et al
• RL2: Fast Reinforcement Learning via Slow Reinforcement Learning, Duan et al
• Learning to reinforcement learn, Wang et al