Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games

30 October 2022

Papers citing "Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games"

4 / 4 papers shown

Title
Adversarial Policies Beat Superhuman Go AIs T. T. Wang Adam Gleave Tom Tseng Kellin Pelrine Nora Belrose ... Michael Dennis Yawen Duan V. Pogrebniak Sergey Levine Stuart Russell AAML 13 21 0 01 Nov 2022
Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments Amin Rakhsha Xuezhou Zhang Xiaojin Zhu Adish Singla AAML OffRL 38 37 0 16 Feb 2021
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh 64 162 0 21 Jan 2021
On the Robustness of Cooperative Multi-Agent Reinforcement Learning Jieyu Lin Kristina Dzeparoska S. Zhang A. Leon-Garcia Nicolas Papernot AAML 69 65 0 08 Mar 2020