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20212026
most citedExploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain

177 citations · 191 across the 18 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.AI2024★ 7 cited

CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis

Yihang Xiao, Jinyi Liu, Yan Zheng +9

Single-cell RNA sequencing (scRNA-seq) data analysis is crucial for biological research, as it enables the precise characterization of cellular heterogeneity. However, manual manip…

cs.LG2024

vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement

Yiwen Zhu, Jinyi Liu, Wenya Wei +7

Reinforcement Learning (RL) is a widely employed technique in decision-making problems, encompassing two fundamental operations -- policy evaluation and policy improvement. Enhanci…

cs.LG2024★ 3 cited

Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback

Yifu Yuan, Jianye Hao, Yi Ma +6

Reinforcement Learning with Human Feedback (RLHF) has received significant attention for performing tasks without the need for costly manual reward design by aligning human prefere…

cs.AI2024★ 1 cited

SheetAgent: Towards A Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models

Yibin Chen, Yifu Yuan, Zeyu Zhang +6

Spreadsheets are ubiquitous across the World Wide Web, playing a critical role in enhancing work efficiency across various domains. Large language model (LLM) has been recently att…

cs.RO2024★ 1 cited

Enhancing Robotic Manipulation with AI Feedback from Multimodal Large Language Models

Jinyi Liu, Yifu Yuan, Jianye Hao +4

Recently, there has been considerable attention towards leveraging large language models (LLMs) to enhance decision-making processes. However, aligning the natural language text in…