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Home > TalkRL: The Reinforcement Learning Podcast > Marc G. Bellemare


	Podcast:		TalkRL: The Reinforcement Learning Podcast
	Episode:		Marc G. Bellemare
	Category:		Technology
	Duration:		00:57:40
	Publish Date:		2021-05-13 00:00:00
	Description:		Professor Marc G. Bellemare is a Research Scientist at Google Research (Brain team), An Adjunct Professor at McGill University, and a Canada CIFAR AI Chair. Featured References The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare, Yavar Naddaf, Joel Veness, Michael Bowling Human-level control through deep reinforcement learning Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A. Rusu, Joel Veness, Marc G. Bellemare, Alex Graves, Martin Riedmiller, Andreas K. Fidjeland, Georg Ostrovski, Stig Petersen, Charles Beattie, Amir Sadik, Ioannis Antonoglou, Helen King, Dharshan Kumaran, Daan Wierstra, Shane Legg & Demis Hassabis Autonomous navigation of stratospheric balloons using reinforcement learning Marc G. Bellemare, Salvatore Candido, Pablo Samuel Castro, Jun Gong, Marlos C. Machado, Subhodeep Moitra, Sameera S. Ponda & Ziyu Wang Additional References CAIDA Talk: A tour of distributional reinforcement learning November 18, 2020 - Marc G. Bellemare Amii AI Seminar Series: Autonomous nav of stratospheric balloons using RL, Marlos C. Machado UMD RLSS \| Marc Bellemare \| A History of Reinforcement Learning: Atari to Stratospheric Balloons TalkRL: Marlos C. Machado, Dr. Machado also spoke to us about various aspects of ALE and Project Loon in depth Hyperbolic discounting and learning over multiple horizons, Fedus et al 2019 Marc G. Bellemare on Twitter
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