"feasible reward set" Papers

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On Feasible Rewards in Multi-Agent Inverse Reinforcement Learning

Till Freihaut, Giorgia Ramponi

NeurIPS 2025spotlightarXiv:2411.15046
2
citations

Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms

Filippo Lazzati, Mirco Mutti, Alberto Maria Metelli

ICML 2024poster