326 citations · 676 across the 13 of their papers we have counts for
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cs.LG2023★ 3 cited
Data-Driven Inverse Reinforcement Learning for Expert-Learner Zero-Sum Games
Wenqian Xue, Bosen Lian, Jialu Fan +2
In this paper, we formulate inverse reinforcement learning (IRL) as an expert-learner interaction whereby the optimal performance intent of an expert or target agent is unknown to…
cs.LG2020
Local Policy Optimization for Trajectory-Centric Reinforcement Learning
Patrik Kolaric, Devesh K. Jha, Arvind U. Raghunathan +4
The goal of this paper is to present a method for simultaneous trajectory and local stabilizing policy optimization to generate local policies for trajectory-centric model-based re…