2026
Safe Reinforcement Learning with Preference-based Constraint Inference
ICML 2026poster
Safe reinforcement learning (RL) is a standard paradigm for safety-critical decision making. However, real-world safety constraints can be complex, subjective, and even hard to explicitly specify. Existing works on constraint inference rely on restrictive assumptions or extensive expert demonstratio…