Jingyuan Yan

GLARE: Scalable Neuro-Symbolic Reward Shaping for LLM Agents via Group-Level Automata

Reinforcement Learning (RL) with Group Relative Policy Optimization (GRPO) shows great promise for enhancing LLM reasoning, but remains challenged by sparse and unstable rewards in long-horizon tasks. Existing approaches to reward shaping struggle to balance semantic expressiveness, reliability, and…