Agentic RL

RL: Reinforcement Learning

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28 papers in the last four weeks, up 300% on the four weeks before. 0.3% of all new papers.

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Learning Robust Execution in Robotic Manipulation with Agentic Reinforcement Learning
Jul 15, 2026Xiaopeng Zhang, Yueyang Weng, Qi Liu +2Agentic RL Robot Failure Recovery
School of Inteligence Science and Engineering, the Harbin Institute of Technology Shenzhen, 518055, China. · Faculty of Robot Science and Engineering, Northeastern University, Shenyang, 110819, China.
Mach-Mind-4-Flash Technical Report
Jul 10, 2026Foundation Model TeamAgentic RL Token Efficiency
Foundation Model, Li Auto Inc.
Single-Rollout Asynchronous Optimization for Agentic Reinforcement Learning
Jul 8, 2026Zhenyu Hou, Yujiang Li, Jie Tang +1Agentic RL Asynchronous RL
Tsinghua University · Work done while ZH and YL interned at Z.AI.
RLVP: Penalize the Path, Reward the Outcome
Jul 8, 2026Bojie Li, Noah ShiAgentic RL Constrained RL
Pine AI · University of Washington
Entropy Pacing Policy Optimization for Multi-Task Agentic Reinforcement Learning
Jul 8, 2026Zetian Hu, Shunyu Liu, Junjie Zhang +4Agentic RL Group Relative Policy Optimization
Generative AI Lab, College of Computing and Data Science, Nanyang Technological University, Singapore 639798 · Tongyi Lab, Alibaba Group
Beyond Static Evaluation: Building Simulation Environments for Scalable Agentic Reinforcement Learning
Jul 7, 2026Akshay Arora, Ishan Nigam, Ashutosh Aggarwal +6Agentic RL AI Agent Evaluation
Uber AI Solutions San Francisco, CA, USA
Progress- and Reliability-Oriented Group Policy Optimization for Agentic Reinforcement Learning
Jul 5, 2026Mingxuan Fan, Peiyang LiuAgentic RL Group Relative Policy Optimization
Baidu Inc., China · Peking University, China
Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions
Jul 4, 2026Haochen Luo, Yi Huang, Sichun Luo +5Agentic RL Agent Harness Optimization
School of Computing and Data Science, The University of Hong Kong · Grace Investment Machine · Jiutian Research, China Mobile
TRIAGE: Role-Typed Credit Assignment for Agentic Reinforcement Learning
Jun 30, 2026Yuanda Xu, Zhengze Zhou, Hejian Sang +6Agentic RL Step-Level Credit Assignment in RL
1LinkedIn Corporation · 2Harvard University · 3Johns Hopkins University +1
ECHO: Prune To Act, Trace To Learn With Selective Turn Memory In Agentic RL
Jun 30, 2026Zijun Xie, Binbin Zheng, Enlei Gong +7Agentic RL Credit Assignment in RL
School of Mathematical Sciences, Peking University · Baidu Inc. · University of Science and Technology of China
CRAFT: Counterfactual Credit Assignment from Free Sibling Rollouts for Self-Distilled Agentic Reinforcement Learning
Jun 28, 2026Zibin Meng, Kani ChenAgentic RL KL-Regularized RL
The Hong Kong University of Science and Technology
ATOD: Annealed Turn-aware On-policy Distillation for Multi-turn Autonomous Agents
Jun 26, 2026Qitai Tan, Zefang Zong, Yang Li +1Agentic RL On-Policy Distillation
Tencent Inc. · Tsinghua University
OPID: On-Policy Skill Distillation for Agentic Reinforcement Learning
Jun 25, 2026Shuo Yang, Jinyang Wu, Zhengxi Lu +8Agentic RL LLM Agent Skill Learning
1Tsinghua University · 2Zhejiang University · 3The Chinese University of Hong Kong +2
Qwen-AgentWorld: Language World Models for General Agents
Jun 23, 2026Yuxin Zuo, Zikai Xiao, Li Sheng +30LLM World Models Agentic RL
Qwen Team
Group-Graph Policy Optimization for Long-Horizon Agentic Reinforcement Learning
Jun 22, 2026Yunan Wang, Minghui Song, Zihan Zhang +6Agentic RL Reinforcement Learning
1Peking University · 2Microsoft Corporation
Automating SKILL.md Generation for Computer-Using Agents via Interaction Trajectory Mining
Jun 18, 2026Yuexing Hao, Xiaomin LiAgentic RL Computer-Use Agents
Massachusetts Institute of Technology · Harvard University
StepGuard: Guarding Web Navigation via Single-Step Calibration
Jun 16, 2026Zhihao Cui, Yuchen Zhang, Xiyang Sun +6Agentic RL Reinforcement Learning
School of Software Engineering, Xi’an Jiaotong University · Xiamen University · School of Computer Science and Information Engineering, Hefei University of Technology +2
EnvRL: Learn from Environment Dynamics in Agentic Reinforcement Learning
Jun 16, 2026Zhitong Wang, Songze Li, Hao Peng +4Agentic RL World Model Learning
Department of Computer Science and Technology, Tsinghua University · Shanghai AI Laboratory
From Verdict to Process: Agentic Reinforcement Learning for Multi-Stage Fact Verification
Jun 11, 2026Rongxin Yang, Shenghong He, Siyuan Zhu +1Agentic RL Process Reward Models
School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510006, China
APPO: Agentic Procedural Policy Optimization
Jun 10, 2026Xucong Wang, Ziyu Ma, Yong Wang +5Agentic RL Credit Assignment in RL
University of Science and Technology of China · AMAP, Alibaba Group · Southern University of Science and Technology
UniIntervene: Agentic Intervention for Efficient Real-World Reinforcement Learning
Jun 10, 2026Haoyuan Deng, Yitong Gao, Yudong Lin +3Agentic RL Reinforcement Learning
Nanyang Technological University · Beijing University of Posts and Telecommunications
The Artificial Experimentalist: Discovery and Control of Self-Organizing Phenomena with Autotelic Reinforcement Learning
Jun 10, 2026Marko Cvjetko, Benedikt Hartl, Michael Levin +2Agentic RL Reinforcement Learning
Inria Centre at the University of Bordeaux, Bordeaux, France · Allen Discovery Center at Tufts University, Medford, MA, USA · Wyss Institute for Biologically Inspired Engineering at Harvard University, Boston, MA, USA +1
TRACE: A Unified Rollout Budget Allocation Framework for Efficient Agentic Reinforcement Learning
Jun 9, 2026Heming Zou, Qi Wang, Yun Qu +9Agentic RL Reinforcement Learning with Verifiable Rewards
1Tsinghua University · 2LLM Department, Tencent
Claw-R1: A Step-Level Data Middleware System for Agentic Reinforcement Learning
Jun 8, 2026Daoyu Wang, Mingyue Cheng, Qingchuan Li +3Agentic RL Reinforcement Learning
State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China Hefei, China
HARBOR: A Harness Framework for Agentic Robot Reinforcement Learning
Jun 7, 2026Zechu Li, Yufeng Jin, Xiaoyang Liu +4Agentic RL Reinforcement Learning
TU Darmstadt 1 · Hessian.AI 7 · Honda Research Institute Europe 2 +4
AgentJet: A Flexible Swarm Training Framework for Agentic Reinforcement Learning
Jun 3, 2026Qingxu Fu, Boyin Liu, Shuchang Tao +2Multi-Agent LLM Systems Agentic RL
Tongyi Lab, Alibaba Group
AgenticRL: Self-Refining Agentic Reinforcement Learning for Vision-Conditioned UAV Navigation
Jun 2, 2026Roohan Ahmed Khan, Yasheerah Yaqoot, Amir Atef Habel +2RL for Robotics Agentic RL
EvoDS: Self-Evolving Autonomous Data Science Agent with Skill Learning and Context Management
Jun 2, 2026Zherui Yang, Fan Liu, Yansong Ning +1Agentic RL LLM Agent Skill Learning
The Hong Kong University of Science and Technology (Guangzhou)
Tool-Aware Optimization with Entropy Guidance for Efficient Agentic Reinforcement Learning
Jun 2, 2026Hongye Cao, Nuo Yan, Haoyuan Deng +5Agentic RL RL for Language Model Reasoning
National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093, China · Nanyang Technological University, Singapore · China Mobile NineVerse Artificial Intelligence Technology (Beijing) Co., Ltd., and Institute of Artificial Intelligence, NineVerse, Beijing 100032, China
EvoTrainer: Co-Evolving LLM Policies and Training Harnesses for Autonomous Agentic Reinforcement Learning
Jun 2, 2026Guhong Chen, Yingcheng Shi, Yongbin Li +6RL for Code Generation Agentic RL
1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences · 2Tongyi Lab , Alibaba Group · 3Alibaba Group +1

Jul 15, 2026, cs.ROJ/K move · Enter open · S save

Learning Robust Execution in Robotic Manipulation with Agentic Reinforcement Learning

Xiaopeng Zhang, Yueyang Weng, Qi Liu, Yongjin Mu+1

School of Inteligence Science and Engineering, the Harbin Institute of Technology Shenzhen, 518055, China. · Faculty of Robot Science and Engineering, Northeastern University, Shenyang, 110819, China.

Agentic RL Robot Failure Recovery Robotic Manipulation Robust RL Robustness of VLA Models

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Robotic manipulation poses fundamental challenges due to uncertainty, long-horizon execution, and compounding errors, which can easily destabilize execution and lead to task failure. Although recent vision-language-action (VLA) models exhibit strong generalization, they typically lack explicit mechanisms to assess execution stability and to recover when execution deviates from its nominal behavior. In this paper, we propose: (1) two complementary metrics to assess execution quality at runtime, and (2) an agentic reinforcement learning framework that learns to restore effective execution through high-level decision-making rather than directly learning low-level actions. In this framework, an agentic policy reasons over recent execution history and selects among a small set of execution modes to regulate the execution process. Under execution degradation, it triggers appropriate recovery mechanisms to restore the robot to previously visited nominal states, enabling the task to continue. We evaluate the proposed method on the LIBERO benchmark, achieving up to a 13.7% improvement in success rate under standard settings and up to a 39.2% improvement under disturbance settings, demonstrating substantially enhanced execution robustness.

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