Reinforcement Learning

Also known as RL

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144 papers in the last four weeks, up 243% on the four weeks before. 1.4% of all new papers.

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  1. CATPO: Critique-Augmented Tree Policy Optimization

    Jun 6, 2026Ayush Singh, Umang Goyal, Ankur DahiyaRL for Language ModelsReinforcement Learning

    Vision and Language Group Indian Institute of Technology Roorkee Roorkee, Uttarakhand, India

  2. Neuro-Symbolic Injection of LTLf Constraints in Autoregressive Reinforcement Learning Policies

    Jun 6, 2026Ashkan Ansarifard, Matteo Mancanelli, Elena Umili +1Reinforcement LearningTransformer-Based RL

    Sapienza University of Rome · University of Rome La Sapienza, Rome, Italy

  3. Are Good Generators Good Decision-Makers? Policy Learning for General Interventions via Retargeted Counterfactual Generation

    Jun 5, 2026Raphael C Kim, Jingsen Zhu, Ramin Zabih +1Reinforcement LearningCausal Counterfactual Generation

    Cornell Tech, Cornell University, New York, NY · Department of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, New York, NY

  4. Self-evolving LLM agents with in-distribution Optimization

    Jun 5, 2026Yudi Zhang, Meng Fang, Zhenfang Chen +1Reinforcement LearningProcess Reward Models

    Eindhoven University of Technology, Netherlands · University of Liverpool, United Kingdom · MIT-IBM Watson AI Lab.

  5. Learning Explicit Behavioral Models with Adaptive Questions and World-Model Probes

    Jun 5, 2026Hikaru Shindo, Yu Deng, Teng Cao +5Reinforcement LearningWorld Models

    1Artificial Intelligence and Machine Learning Lab, Technical University of Darmstadt, Germany · Department of Computer Science, Technical University of Darmstadt, Germany · 2Hessian Center for Artificial Intelligence (hessian.AI), Germany +3

  6. StainFlow: Entity-Stain Tracking and Evidence Linking for Process Rewards in GUI Agents

    Jun 5, 2026Haojie Hao, Longkun Hao, Yihang Lou +8Reinforcement LearningRL for GUI Agents

    Beihang University · Peking University · Renmin University of China +4

  7. Exploring Agentic Tool-Calling Decisions via Uncertainty-Aligned Reinforcement Learning

    Jun 5, 2026Yijin Zhou, Linqian Zeng, Xiaoya Lu +4Reinforcement LearningLLM Uncertainty Estimation

    Shanghai Jiao Tong University, China · Shanghai Artificial Intelligence Laboratory, China · Shanghai Innovation Institute, China

  8. Progress-SQL: Improving Reinforcement Learning for Text-to-SQL via Progressive Rewards

    Jun 5, 2026Shihao Zhang, Xiaoman Wang, Yuan Liu +2RL for Language ModelsReinforcement Learning

    East China Normal University

  9. Exploring Reinforcement Learning for Fluid Transitions Between Clinical Mental Healthcare and Everyday Wellness Support

    Jun 5, 2026Tony Wang, Qian YangReinforcement LearningMental Health

    Cornell University · United States

  10. Performance Variation in Deep Reinforcement Learning

    Jun 4, 2026Haruto Tanaka, A. Rupam MahmoodReinforcement Learning

    Department of Computing Science University of Alberta Alberta Machine Intelligence Institute (Amii)

  11. Uncertainty-Aware LLM-Guided Policy Shaping for Sparse-Reward Reinforcement Learning

    Jun 4, 2026Ujjwal Bhatta, Utsabi Dangol, Sumaly Bajracharya +2Reinforcement LearningLLM-Guided RL

    USD AI Research, Department of Computer Science University of South Dakota Vermillion, SD 57069, USA

  12. DNQ: Deep Nash Q-Network for Partially Observable n-Player Games

    Jun 4, 2026Qintong Xie, Edward Koh, Xavier Cadet +1Nash EquilibriumReinforcement Learning

  13. RREDCoT: Segment-Level Reward Redistribution for Reasoning Models

    Jun 4, 2026Mykyta Ielanskyi, Kajetan Schweighofer, Lukas Aichberger +1Reinforcement LearningRL for Language Model Reasoning

    ELLIS Unit Linz and LIT AI Lab, Institute for Machine Learning, Johannes Kepler University Linz, Austria · Cognizant AI Lab, San Francisco, USA · Work done while at Johannes Kepler University Linz. +1

  14. Maximising the Set-Piece Return: Optimising Football Corner Tactics with Graph Reinforcement Learning

    Jun 4, 2026Sean Groom, Michael Groom, Francisco Belo +4Reinforcement Learning

    School of Computer Science, University of Birmingham, Birmingham, UK · Nottingham Forest Football Club, Nottingham, UK · Oxford Robotics Institute, University of Oxford, Oxford, UK +1

  15. Reward hacking in physical reinforcement learning revealed by turbulent drag reduction

    Jun 4, 2026Giorgio Maria Cavallazzi, Miguel Pérez-Cuadrado, Alfredo PinelliRL ControlReward Hacking

    School of Science and Technology, Department of Engineering, City St. George’s, University of London, London, UK

  16. Online KL-Regularized Reinforcement Learning with Function Approximation under Misspecification

    Jun 4, 2026Haoyang Hong, Zichen Wang, Quanquan Gu +1Regret Minimization in RLReinforcement Learning

    School of Electrical Engineering and Computer Science, Oregon State University · Department of Electrical and Computer Engineering and Coordinated Science Laboratory, University of Illinois Urbana-Champaign · Department of Computer Science, University of California, Los Angeles

  17. Edit-R2: Context-Aware Reinforcement Learning for Multi-Turn Image Editing

    Jun 4, 2026Yuxiao Ye, Haoran He, Fangyuan Kong +4Reinforcement LearningImage Editing Evaluation

    Hong Kong University of Science and Technology · Kuaishou Technology

  18. A Pre-Registered Causal Partition of Self-Consistency Elicitation and Reward Design in RLVR

    Jun 4, 2026Yuze GaoReinforcement LearningSelf-Consistency Decoding

  19. Accelerating and Scaling MPC-Guided Reinforcement Learning for Humanoid Locomotion and Manipulation

    Jun 4, 2026Junheng Li, Liang Wu, Sergio A. Esteban +3RL ControlHumanoid Robot Locomotion

    California Institute of Technology, CA 91106, USA · Johns Hopkins University, MD 21218, USA

  20. AsyncWebRL: Efficient Multi-Step RL for Visual Web Agents

    Jun 4, 2026Hao Bai, Rui Yang, Chenlu Ye +3Asynchronous RLReinforcement Learning

    1UIUC · 2Microsoft · 3CMU

  21. BMCR: Adaptive Backbone Module Composition via Reinforcement Learning for Remote Sensing Object Detection

    Jun 4, 2026Wenlin Liu, Xikun Hu, Ping ZhongReinforcement LearningDynamic Neural Networks

    College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China

  22. Representation Learning Enables Scalable Multitask Deep Reinforcement Learning

    Jun 4, 2026Johan Obando-Ceron, Lu Li, Scott Fujimoto +3Reinforcement LearningRepresentation Learning for RL

    Mila – Québec AI Institute · Université de Montréal · McGill University +2

  23. Selective-Advantage Entropy-Adaptive Horizon GRPO: Asymmetric Token-Level Discounting for Efficient Reinforcement Learning of Language Models

    Jun 3, 2026Chirag Chawla, Rohan Charudatt Salvi, Madhav S. BaidyaReinforcement LearningRL for Language Model Reasoning

    Indian Institute of Technology (BHU), Varanasi, India · Department of Computer Science, University of Illinois Chicago, IL 60607, USA

  24. Agentic Monte Carlo: Simulating Reinforcement Learning for Black-Box Agents

    Jun 3, 2026Dae Yon Hwang, Raunaq Suri, Valentin Villecroze +4Reinforcement LearningBayesian RL

    Layer 6 AI, Toronto, Canada.

  25. GARL: Game-Theoretic Reinforcement Learning for Multi-Agent Strategic Prioritisation

    Jun 3, 2026Yuxiao Ye, Yiwen Zhang, Huiyuan Xie +2Multi-Agent LLM SystemsMulti-Agent System Optimization

    1Tsinghua University · 2The Hong Kong University of Science and Technology (Guangzhou)

  26. Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning

    Jun 3, 2026Xuekang Wang, Zhuoyuan Hao, Shuo Hou +3Reward HackingRL for Language Models

    Tsinghua University · Harbin Institute of Technology, Shenzhen · Xi’an Jiaotong University

  27. Bayesian learning for the stochastic shortest path problem

    Jun 3, 2026Chon Wai Ho, Sumeetpal S. Singh, Jiaqi GuoMarkov Decision ProcessesReinforcement Learning

    Department of Engineering, University of Cambridge, UK · School of Mathematics and Physics, University of Wollongong, Wollongong, Australia

  28. Fog of Love: Engineering Virtuous Agent Behavior with Affinity-based Reinforcement Learning in a Game Environment

    Jun 3, 2026Ajay Vishwanath, Christian OmlinReinforcement LearningCooperative MARL

    IKT, University of Agder, Jon Lilletuns vei, Grimstad, 4879, Agder, Norway.

  29. Explainably Safe Reinforcement Learning

    Jun 3, 2026Sabine Rieder, Stefan Pranger, Debraj Chakraborty +2Reinforcement LearningInterpretability in RL

    Masaryk University · Technical University of Munich · Graz University of Technology

  30. Episodic Memory Temporal Consistency for Cooperative Multi-Agent Reinforcement Learning

    Jun 3, 2026Zicheng Zhao, Yu Lan, Chengzhengxu Li +2Reinforcement LearningGame-Playing Agents

    Xi’an Jiaotong University · Queen Mary University of London