68 citations · 107 across the 4 of their papers we have counts for
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2 papers · 1 filter
cs.LG2014★ 5 cited
Comparison of Multi-agent and Single-agent Inverse Learning on a Simulated Soccer Example
Xiaomin Lin, Peter A. Beling, Randy Cogill
We compare the performance of Inverse Reinforcement Learning (IRL) with the relative new model of Multi-agent Inverse Reinforcement Learning (MIRL). Before comparing the methods, w…
cs.GT2014★ 68 cited
Multi-agent Inverse Reinforcement Learning for Two-person Zero-sum Games
Xiaomin Lin, Peter A. Beling, Randy Cogill
The focus of this paper is a Bayesian framework for solving a class of problems termed multi-agent inverse reinforcement learning (MIRL). Compared to the well-known inverse reinfor…