#constraint-inference News & Analysis

2 articles tagged with #constraint-inference. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · May 116/10

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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.

AIBullisharXiv – CS AI · Mar 266/10

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Safe Reinforcement Learning with Preference-based Constraint Inference

Researchers propose Preference-based Constrained Reinforcement Learning (PbCRL), a new approach for safe AI decision-making that learns safety constraints from human preferences rather than requiring extensive expert demonstrations. The method addresses limitations in existing Bradley-Terry models by introducing a dead zone mechanism and Signal-to-Noise Ratio loss to better capture asymmetric safety costs and improve constraint alignment.