TalkRL: The Reinforcement Learning Podcast

TalkRL: The Reinforcement Learning Podcast

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.

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Jaksot(74)

 Aleksandra Faust

Aleksandra Faust

Dr Aleksandra Faust is a Staff Research Scientist and Reinforcement Learning research team co-founder at Google Brain Research. Featured References Reinforcement Learning and Planning for Preference B...

6 Heinä 202154min

Sam Ritter

Sam Ritter

Sam Ritter is a Research Scientist on the neuroscience team at DeepMind. Featured References Unsupervised Predictive Memory in a Goal-Directed Agent (MERLIN) Greg Wayne, Chia-Chun Hung, David Amos, Me...

21 Kesä 20211h 40min

Thomas Krendl Gilbert

Thomas Krendl Gilbert

Thomas Krendl Gilbert is a PhD student at UC Berkeley’s Center for Human-Compatible AI, specializing in Machine Ethics and Epistemology. Featured References Hard Choices in Artificial Intelligence: Ad...

17 Touko 20211h 12min

Marc G. Bellemare

Marc G. Bellemare

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 Env...

13 Touko 202157min

Robert Osazuwa Ness

Robert Osazuwa Ness

Robert Osazuwa Ness is an adjunct professor of computer science at Northeastern University, an ML Research Engineer at Gamalon, and the founder of AltDeep School of AI.  He holds a PhD in statistics. ...

8 Touko 20211h 18min

Marlos C. Machado

Marlos C. Machado

Dr. Marlos C. Machado is a research scientist at DeepMind and an adjunct professor at the University of Alberta. He holds a PhD from the University of Alberta and a MSc and BSc from UFMG, in Brazil. F...

12 Huhti 20211h 31min

Nathan Lambert

Nathan Lambert

Nathan Lambert is a PhD Candidate at UC Berkeley. Featured References Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning Nathan O. Lambert, Albert Wilcox, Howard Zhang, Kristo...

22 Maalis 202150min

Kai Arulkumaran

Kai Arulkumaran

Kai Arulkumaran is a researcher at Araya in Tokyo. Featured References AlphaStar: An Evolutionary Computation Perspective Kai Arulkumaran, Antoine Cully, Julian Togelius Analysing Deep Reinforcement L...

16 Maalis 202146min