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#reinforcement learning Open access Oct 2026

OTTP: A Benchmark Protocol for Trajectory-Prefix Risk Prediction in Offline Safe Reinforcement Learning

OTTP provides a reproducible protocol and benchmark for hindsight-defined trajectory-prefix cumulative-cost prediction on offline safe-RL logs. The primary endpoint is Step catastrophic AUPRC. The archive contains code, result tables, run records, and split and preprocessing artifacts.

Yi Chai, Dandan Liu, Zixiao Luo · 0 citations

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