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b'Today we\\u2019re joined by Kamyar Azizzadenesheli, PhD student at the University of California, Irvine, who joins us to review the core elements of RL, along with a pair of his RL-related papers: \\u201cEfficient Exploration through Bayesian Deep Q-Networks\\u201d and \\u201cSample-Efficient Deep RL with Generative Adversarial Tree Search.\\u201d \\n\\nTo skip the Deep Reinforcement Learning primer conversation and jump to the research discussion, skip to the 34:30 mark of the episode. Show notes at https://twimlai.com/talk/177'