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Ge Zhang — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Ge Zhang
101
papers ·
902
citations ·
13
h-index
Zhongyuan University of Technology · Quantum Devices (United States)
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Semantic Scholar ↗
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Most-cited papers
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
2025 · 2 citations
MORE-3S:Multimodal-based Offline Reinforcement Learning with Shared Semantic Spaces
2024 · 1 citations
RLoop: An Self-Improving Framework for Reinforcement Learning with Iterative Policy Initialization
2025
Balanced Aggregation: Understanding and Fixing Aggregation Bias in GRPO
2026
The Optimal Token Baseline: Variance Reduction for Long-Horizon LLM-RL
2026
A$^2$FM: An Adaptive Agent Foundation Model for Tool-Aware Hybrid Reasoning
2025
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
2025
VideoScore2: Think before You Score in Generative Video Evaluation
2025
Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
2025
TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling
2025
First Return, Entropy-Eliciting Explore
2025
Read to Play (R2-Play): Decision Transformer with Multimodal Game Instruction
2024
Top co-authors
Wenhao Huang
· 6
Tianyu Zheng
· 4
Wangchunshu Zhou
· 4
Xingwei Qu
· 4
Jian Yang
· 3
Minghao Liu
· 3
Qian Liu
· 3
Ziniu Li
· 3
Baoquan Zhong
· 2
Chenghua Lin
· 2
Chengquan Jiang
· 2
Dingfeng Shi
· 2
Topics
Model-Based RL
cs.AI
RLHF & Alignment
cs.CL
Multi-Agent
Game AI
Exploration
Policy Gradient
Meta-RL
cs.LG