AI RESEARCH
When are LLMs Sufficient Policy Optimizers for Sequential RL Tasks?
arXiv CS.AI
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ArXi:2605.30719v1 Announce Type: cross We study when large language models (LLMs) can serve as effective black-box policy optimizers for reinforcement learning (RL) tasks, i.e., when can we replace classical RL algorithms with an LLM? We explore this question by