AI RESEARCH
Distributional Inverse Reinforcement Learning
arXiv CS.LG
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ArXi:2510.03013v3 Announce Type: replace We propose a distributional framework for offline Inverse Reinforcement Learning (IRL) that jointly models uncertainty over reward functions and full distributions of returns.