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cs.LG2025
Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents
Jiawei Wang, Jiacai Liu, Yuqian Fu +7
In long-horizon tasks, recent agents based on Large Language Models (LLMs) face a significant challenge that sparse, outcome-based rewards make it difficult to assign credit to int…
cs.LG2024★ 4 cited
AGILE: A Novel Reinforcement Learning Framework of LLM Agents
Peiyuan Feng, Yichen He, Guanhua Huang +4
We introduce a novel reinforcement learning framework of LLM agents named AGILE (AGent that Interacts and Learns from Environments) designed to perform complex conversational tasks…