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"

3 / 3 papers shown

Title
Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments Amin Rakhsha Xuezhou Zhang Xiaojin Zhu Adish Singla AAML OffRL 21 32 0 16 Feb 2021
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh 52 161 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 67 64 0 08 Mar 2020