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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Latest papers 1,138

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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
Shattering the Autoregressive Curse: Dynamic Epistemic Entropy Orchestrated Erasable Reinforcement Learning for LLMs
Jun 16, 2026Ziliang Wang, Kang An, Faqiang Qian +5LLM Self-Correction Reinforcement Learning
1SenseTime · 2Shanghai Jiao Tong University
From Trainee to Trainer: LLM-Designed Training Environment for RL with Multi-Agent Reasoning
Jun 16, 2026Chao Chen, Chengzu Li, Zhiwei Li +2Reinforcement Learning LLM-Guided RL
1LARK, HKUST (GZ) · University of Cambridge · 3HKUST
TRIDENT: Breaking the Hybrid-Safety-Physics Coupling for Provably Safe Multi-Agent Reinforcement Learning
Jun 16, 2026Zijie Meng, Ziwei Li, Yufei Liu +5Cyber-Physical Systems Reinforcement Learning
Peking University · National Taiwan University · WHU +1
Closing the Feedback Loop: From Experience Extraction to Insight Governance in Verbal Reinforcement Learning
Jun 16, 2026Yanwei Cui, Xing Zhang, Yulong Zhang +4Continual Learning for LLM Agents Non-Stationary RL
AWS Generative AI Innovation Center · Amazon Web Services (AWS) · BingX Group Limited.
Reversal Q-Learning
Jun 16, 2026Aditya Oberai, Seohong Park, Sergey LevineReinforcement Learning Q-Learning
University of California, Berkeley.
Multi-Adapter PPO: A Cross-Attention Enhanced Wavelength Selection Framework for LIBS Quantitative Analysis
Jun 16, 2026Hao Li, Man Fung ZhuoReinforcement Learning Proximal Policy Optimization
Electrical and Computer Engineering · University of Arizona · Tucson, USA
Performance-Driven Environment Abstraction with Multi-Timescale Learning
Jun 16, 2026Yue Guan, Dipankar Maity, Panagiotis TsiotrasMarkov Decision Processes Reinforcement Learning
School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, USA · Department of Electrical and Computer Engineering, University of North Carolina at Charlotte, Charlotte, NC, USA
Decision-Driven Geosteering Under Uncertainty: A Unified Framework for Sequential Decision Optimization
Jun 15, 2026Hibat Errahmen Djecta, Sergey Alyaev, Kristian Fossum +3RL Control Reinforcement Learning
NORCE Research Centre, Bergen, Norway · University of Stavanger, Stavanger, Norway · Stanford University, Stanford, CA, USA
Rethinking Groups in Critic-Free RLVR
Jun 15, 2026Yihong Wu, Liheng Ma, Lingfeng Xiao +4Reinforcement Learning RL for Language Model Reasoning
1Université de Montréal · 2McGill University · 3Mila - Quebec AI Institute +3
ExpRL: Exploratory RL for LLM Mid-Training
Jun 15, 2026Violet Xiang, Amrith Setlur, Chase Blagden +2Reinforcement Learning RL for Language Model Reasoning
1Stanford University · 2Carnegie Mellon University · 3OpenAI +1
Latent Space Reinforcement Learning for Inverse Material Estimation in Food Fracture Simulation
Jun 15, 2026Adrian Ramlal, Yuhao Chen, John S. ZelekParameter Estimation Reinforcement Learning
University of Waterloo
Understanding the Behaviors of Environment-aware Information Retrieval
Jun 15, 2026Ruifeng Yuan, Chaohao Yuan, David Dai +4Retrieval-Augmented Generation Reinforcement Learning
1Fudan University · 2Alibaba DAMO Academy · 3Chinese University of Hong Kong +2
Maximum Entropy Inverse Reinforcement Learning for Mean-Field Games with Average Reward
Jun 15, 2026Şevket Kaan Alkır, Naci Saldı, Berkay Anahtarcı +1Reinforcement Learning Average-Reward RL
Department of Mathematics Bilkent University 06800 Ankara, Turkey · Department of Mathematical Engineering Özyeğin University 34794 Istanbul, Turkey
Learning Policy from a Single Trajectory in Average-Reward Markov Decision Process
Jun 15, 2026Jongmin Lee, Ernest K. Ryu, Vaneet AggarwalMarkov Decision Processes Reinforcement Learning
Seoul National University · UCLA · Purdue University
DifferAD-R1: A Difference-Guided IndustrialAnomaly Localization with Multimodal LargeLanguage Models
Jun 15, 2026Dingrong Wang, Xian Tao, Zhen Qu +5Reinforcement Learning Industrial Anomaly Detection
Institute of Automation, Chinese Academy of Sciences (CAS), Beijing 100190, China · School of Artificial Intelligence, University of Chinese Sciences, Beijing 100049, China · Institute of Automation, CAS, Beijing 100190, China +4
Infant Spontaneous Movement Noise Improves Exploration in Deep RL
Jun 15, 2026Francisco M. López, Markus R. Ernst, Francisco Cruz +2Reinforcement Learning RL Exploration
Frankfurt Institute for Advanced Studies, Germany, and with the School of Computer Science and Engineering, University of New South Wales, Australia · School of Computer Science and Engineering, University of New South Wales, Australia · School of Computer Science and Engineering, University of New South Wales, Australia, and with Escuela de Ingenier´ıa, Universidad Central de Chile, Chile +2
Incentives and Evidence in Learned Service Orchestration
Jun 15, 2026Syed Izhan Khilji, Alireza Furutanpey, Schahram DustdarRL Control Reinforcement Learning
†Distributed Systems Group (DSG), TU Wien, Vienna, Austria · ‡Coovally.ai, Barcelona, Spain
RL-Index: Reinforcement Learning for Retrieval Index Reasoning
Jun 15, 2026Yongjia Lei, Nedim Lipka, Zhisheng Qi +5Reinforcement Learning Agentic Retrieval
♡University of Oregon · ♣Adobe Research
Evolutionary Bilevel Reward Shaping for Generalization in Reinforcement Learning
Jun 15, 2026Ekasit Usaratniwart, Xilin Gao, Marc Ong +1Reinforcement Learning Reward Shaping
University of Tsukuba, Tsukuba, Japan · RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
FlashNav: Training Deployable Robot Navigation Policies in Seconds
Jun 14, 2026Shanze Wang, Yiwei Qian, Xinming Zhang +8Robot Policy Learning Reinforcement Learning
Eastern Institute of Technology, Ningbo · The Hong Kong Polytechnic University · National University of Singapore +2
Understanding Diversity Collapse in RLVR via the Lens of Overtraining
Jun 13, 2026Suqin Yuan, Jinkun Chen, Jiyang Zheng +6Reinforcement Learning Reasoning Diversity
Sydney AI Centre, The University of Sydney · Southeast University · Microsoft +3
Discovering Lattice Reduction Strategies via Self-Play
Jun 13, 2026Mohamed Malhou, Kristin Lauter, Ludovic PerretReinforcement Learning RL for Combinatorial Optimization
FAIR, Meta Superintelligence Labs & Sorbonne Université CNRS, LIP6 Paris, France · EPITA, EPITA Research Lab (LRE) Le Kremlin-Bicêtre, France
Exploring Starts Are Not Enough: Counterexamples and a Fix for Monte Carlo Exploring Starts
Jun 13, 2026Octave Oliviers, Glenn VinnicombeRL Control Reinforcement Learning
Department of Engineering · University of Cambridge · Cambridge, UK
StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling
Jun 13, 2026Jiajun Li, Yu Ding, Shisi Guan +2Reinforcement Learning Large Language Model-Guided Optimization
School of Computer Science and Engineering, Southeast University · Northwest A&F University
Safe Reinforcement Learning of Autonomous Highway Driving: A Unified Framework for Safety and Efficiency
Jun 12, 2026Chufei Yan, Zhihao Cui, Yiyan Lv +3Reinforcement Learning Mixture of Experts
School of Physics, Northeast Normal University, Changchun, 130024, China. · 2Clean Energy Automotive Engineering Center, School of Automotive Studies, Tongji University, Shanghai, 201804, China. · 3Mengshi Automobile Technology Company, Dongfeng Motor Corporation, Wuhan, 430010, China.
Lyapunov-Based Sample Complexity Analysis for Weakly-Coupled MDPs
Jun 12, 2026Tianhao Wu, Matthew Zurek, Weina Wang +1Multi-Armed Bandits Robust Markov Decision Processes
Department of Industrial and Systems Engineering, University of Wisconsin-Madison · Department of Computer Sciences, University of Wisconsin-Madison · Computer Science Department, Carnegie Mellon University
Explainable and Trustworthy Speech Emotion Recognition Using Confidence Score and Reinforcement Learning Rectified Speech Emotion Descriptors
Jun 12, 2026Youjun Chen, Xurong Xie, Mengzhe Geng +9Explainable Artificial Intelligence Reinforcement Learning
The Chinese University of Hong Kong, Hong Kong SAR, China · Institute of Software, Chinese Academy of Sciences, China · National Research Council Canada, Canada +1
Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch
Jun 11, 2026Haochen Wu, Yi Hou, Shiguang XieMulti-Objective Reinforcement Learning Reinforcement Learning
DoorDash Inc.
Reinforcement Learning for Neural Model Editing
Jun 11, 2026Shaivi MalikReinforcement Learning Model Editing

Jun 16, 2026, cs.AIJ/K move · Enter open · S save

StepGuard: Guarding Web Navigation via Single-Step Calibration

Zhihao Cui, Yuchen Zhang, Xiyang Sun, Yaxiong Wang+5

School of Software Engineering, Xi’an Jiaotong University · Xiamen University · School of Computer Science and Information Engineering, Hefei University of Technology+2

Agentic RL Reinforcement Learning Web Agents

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Web navigation requires agents to follow natural language goals, interact with web pages, and produce accurate answers. While recent advances leverage vision-language models and reinforcement learning, existing methods still suffer from single-step fragility due to reward misalignment and error propagation. To tackle the reward entanglement, we design Dynamic Dual-Policy Optimization (DDPO), which dynamically switches between a navigation-first mode for exploration and an answer-first mode for question-answering to mitigate reward conflict. To calibrate the single-step error, we propose Confidence-Guided Adaptive Navigation Reflection (CANR), a mechanism that estimates per-step confidence, triggers reflection only when necessary, and uses contrastive rewards to encourage self-correction to calibrate the single-step inaccuracy. With the above as the main components, we finally develop our StepGuard, a new framework of Guarding Web Navigation via Single-Step Calibration. Experiments demonstrate that our approach significantly improves navigation and answer accuracy, setting new state-of-the-art performance on standard web navigation benchmarks.

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Latest papers 1,138