TalkRL: The Reinforcement Learning Podcast

Jacob Beck and Risto Vuorio

TalkRL: The Reinforcement Learning Podcast

Show Notes

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

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