Jacob Beck and Risto Vuorio

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 LearningJacob 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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TalkRL podcast is All Reinforcement Learning, All the Time. In-depth interviews with brilliant people at the forefront of RL research and practice. Guests from places like MILA, OpenAI, MIT, DeepMind, Berkeley, Amii, Oxford, Google Research, Brown, Waymo, Caltech, and Vector Institute. Hosted by Robin Ranjit Singh Chauhan.