most citedAGILE: A Novel Reinforcement Learning Framework of LLM Agents

4 citations · 7 across the 4 of their papers we have counts for

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cs.LG2024

Improving Generalization and Convergence by Enhancing Implicit Regularization

Mingze Wang, Jinbo Wang, Haotian He +6

In this work, we propose an Implicit Regularization Enhancement (IRE) framework to accelerate the discovery of flat solutions in deep learning, thereby improving generalization and…

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…