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References (82)

[1]
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
2025Guibin Zhang, Hejia Geng et al.
[2]
AWorld: Orchestrating the Training Recipe for Agentic AI
2025Chengyue Yu, Siyuan Lu et al.
[3]
MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers
2025Ziyang Luo, Zhiqi Shen et al.
[4]
OS-R1: Agentic Operating System Kernel Tuning with Reinforcement Learning
2025Hongyu Lin, Yuchen Li et al.
[5]
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
2025Xufang Luo, Yuge Zhang et al.
[6]
Group Sequence Policy Optimization
2025Chujie Zheng, Shixuan Liu et al.
[7]
AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents
2025Renxi Wang, R. Genadi et al.
[8]
MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent
2025Hongli Yu, Ting Chen et al.
[9]
MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents
2025Zijian Zhou, A. Qu et al.
[10]
Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library
2025Weixun Wang, Shaopan Xiong et al.
[11]
The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
2025Ganqu Cui, Yuchen Zhang et al.
[12]
WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning
2025Zhepei Wei, Wenlin Yao et al.
[13]
Group-in-Group Policy Optimization for LLM Agent Training
2025Lang Feng, Zhenghai Xue et al.
[14]
LLMs Get Lost In Multi-Turn Conversation
2025Philippe Laban, Hiroaki Hayashi et al.
[15]
ZeroSearch: Incentivize the Search Capability of LLMs without Searching
2025Hao Sun, Zile Qiao et al.
[16]
Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning
2025Lang Feng, Weihao Tan et al.
[17]
Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
2025P. Chhikara, Dev Khant et al.
[18]
RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
2025Zihan Wang, Kangrui Wang et al.
[19]
ToolRL: Reward is All Tool Learning Needs
2025Cheng Qian, Emre Can Acikgoz et al.
[20]
GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents
2025Run Luo, Lu Wang et al.

Showing 20 of 82 references

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