64 citations · 101 across the 31 of their papers we have counts for
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cs.AI2019
Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning in Asymmetric Imperfect-Information Games
Macheng Shen, Jonathan P. How
This paper presents an algorithmic framework for learning robust policies in asymmetric imperfect-information games, where the joint reward could depend on the uncertain opponent t…
cs.AI2019
Active Perception in Adversarial Scenarios using Maximum Entropy Deep Reinforcement Learning
Macheng Shen, Jonathan P How
We pose an active perception problem where an autonomous agent actively interacts with a second agent with potentially adversarial behaviors. Given the uncertainty in the intent of…
cs.AI2017
Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems
Trong Nghia Hoang, Yuchen Xiao, Kavinayan Sivakumar +2
A key challenge in multi-robot and multi-agent systems is generating solutions that are robust to other self-interested or even adversarial parties who actively try to prevent the…