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Contributed Talks
Rishabh Agarwal · Adam Gleave · Kimin Lee

Sat Dec 14 02:00 PM -- 02:30 PM (PST) @ None
  • "Striving for Simplicity in Off-Policy Deep Reinforcement Learning" - Rishabh Agarwal, Dale Schuurmans, Mohammad Norouzi
  • "Adversarial Policies: Attacking Deep Reinforcement Learning" - Adam R Gleave, Michael Dennis, Neel Kant, Cody Wild, Sergey Levine, Stuart Russell
  • "A Simple Randomization Technique for Generalization in Deep Reinforcement Learning" - Kimin Lee, Kibok Lee, Jinwoo Shin, Honglak Lee

Author Information

Rishabh Agarwal (Google)

I am a researcher in the Google Brain team in Montréal. My research interests mainly revolve around Deep Reinforcement Learning (RL), often with the goal of making RL methods suitable for real-world problems.

Adam Gleave (UC Berkeley)

I am an AI PhD student working with the Center for Human-Compatible AI at the University of California, Berkeley.

Kimin Lee (Korea Advanced Institute of Science and Technology)

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