AINeutralarXiv – CS AI · 8h ago6/10
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Multi-Objective Constraint Inference using Inverse reinforcement learning
Researchers introduce MOCI (Multi-Objective Constraint Inference), a novel framework that uses inverse reinforcement learning to extract safety constraints and individual preferences from diverse expert demonstrations where multiple experts have different objectives. The approach addresses limitations in existing methods that assume homogeneous expert behavior and offers improved computational efficiency.