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20232026
most citedAGILE: A Novel Reinforcement Learning Framework of LLM Agents

4 citations · 5 across the 5 of their papers we have counts for

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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…

cs.CV2024

Boximator: Generating Rich and Controllable Motions for Video Synthesis

Jiawei Wang, Yuchen Zhang, Jiaxin Zou +4

Generating rich and controllable motion is a pivotal challenge in video synthesis. We propose Boximator, a new approach for fine-grained motion control. Boximator introduces two co…