arxiv
PublishedOctober 16, 2026 at 4:00 AM
Progress Reward Model for Reinforcement Learning via Large Language Models
Publisher summary· verbatim
arXiv:2610.22056v1 Announce Type: new Abstract: Traditional reinforcement learning (RL) algorithms face significant limitations in handling long-term tasks with sparse rewards. Recent advancements have leveraged large language models (LLMs) to enhance RL by utilizing their world knowledge for task p
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Originally published on arxiv ↗