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Contributed Talks
Rishabh Agarwal · Adam Gleave · Kimin Lee

Sat Dec 14 02:00 PM -- 02:30 PM (PST) @
in Deep Reinforcement Learning »
  • "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)

My research work mainly revolves around deep reinforcement learning (RL), often with the goal of making RL methods suitable for real-world problems, and includes an outstanding paper award at NeurIPS.

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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