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In the seventh episode of Deep Neural Notebooks, I interview Shimon Whiteson. Shimon sir is a Computer Science Professor at the University of Oxford, where he leads the Whiteson Research Lab. He is also a Data Scientist at Waymo (formerly the Google Self Driving Car Project). His research specialises in Reinforcement Learning (RL), Cooperative Multi-Agent RL, to be precise. So this interview is all in the context of Reinforcement Learning. We talk about his journey - how he started with Machine Learning & RL. I ask him about his thoughts on the state of RL - about how the field has progressed and changed since he started, about how it has become so popular in the last few years, and about the challenges being faced. We also talk about his research at Waymo, about recent projects from his lab, and about the scope and future of telepresence robots, one of which was developed under his guidance. We also talk about the infamous Reward Hypothesis in the context of RL and Philosophy. In the end, he also shares some advice for people starting out with RL. Timestamps: 00:00 Snippet 00:54 Introduction 03:42 Beginnings in Computer Science 06:13 Beginnings in ML 07:15 PhD at UT Austin 10:40 Intersection of Neuroevolution and RL 14:10 Research directions since PhD 16:35 State of RL 20:33 Simulation for RL 22:07 Research at Waymo 25:30 Multi-agent RL 33:25 Recent projects at WhiRL 41:30 Teresa project and Telepresence Robots 48:08 Bottlenecks for RL and Robotics 49:45 End-goal for RL, Human-level Intelligence 53:45 What do you find most fascinating about your research? 55:38 RL & Philosophy 1:01:20 Keeping up with latest research 1:03:28 Advice for beginners Links: Shimon Whiteson: / shimon8282 Whiteson Research Lab (WhiRL): http://whirl.cs.ox.ac.uk/ Teresa Robot: https://whirl.cs.ox.ac.uk/teresa/ RL workshop at Machine Learning Summer School, Moscow: • Shimon Whiteson - Reinforcement Learning Pt.1 The Reward Hypothesis: http://incompleteideas.net/rlai.cs.ua... Podcast links - Apple Podcasts: https://apple.co/2TLUZ0y Google Podcasts: https://bit.ly/2TIyvh6 Spotify: https://open.spotify.com/episode/3936... Anchor: https://bit.ly/3gpMi65 Connect: Twitter: / mkulkhanna Website: https://mukulkhanna.co LinkedIn: / mukulkhanna