2026
EAPO: Enhancing Policy Optimization with On-Demand Expert Assistance
ICML 2026poster
Large language models (LLMs) have recently advanced in reasoning when optimized with reinforcement learning (RL) under verifiable rewards. Existing methods primarily rely on outcome-based supervision to strengthen internal LLM reasoning, often leading to inefficient exploration and sparse rewards. T…