most citedProgress Reward Model for Reinforcement Learning via Large Language Models

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Progress Reward Model for Reinforcement Learning via Large Language Models

Xiuhui Zhang, Ning Gao, Xingyu Jiang +4

Traditional reinforcement learning (RL) algorithms face significant limitations in handling long-term tasks with sparse rewards. Recent advancements have leveraged large language m…

cs.AI2026

RF-Agent: Automated Reward Function Design via Language Agent Tree Search

Ning Gao, Xiuhui Zhang, Xingyu Jiang +3

Designing efficient reward functions for low-level control tasks is a challenging problem. Recent research aims to reduce reliance on expert experience by using Large Language Mode…