Constrained RL

RL: Reinforcement Learning

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22 papers in the last four weeks, up 175% on the four weeks before. 0.2% of all new papers.

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  1. SiLR: Structure-Preserving Admission and Process Reward for LLM Tool Agents

    Sep 7, 2026Chenyu Zhou, Qiliang Jiang, Shuning Wu +1Constrained RLRuntime Enforcement for AI Agents

    School of Engineering, Institute of Science Tokyo, Japan · College of Control Science and Engineering, Zhejiang University, China · Department of Electrical and Computer Engineering, National University of Singapore, Singapore

  2. SCoCaT: Success Conditioned Constrained Reinforcement Learning for Spacecraft Docking

    Sep 5, 2026Aman Arora, Ricard Marsal I Castan, Matteo El-Hariry +1Spacecraft Rendezvous and Proximity OperationsConstrained RL

    SnT - Interdisciplinary Centre for Security, Reliability and Trust University of Luxembourg, Luxembourg

  3. One Policy, Any Budget: Internalizing Budget-Aware Search via Reinforcement Learning

    Sep 1, 2026Xiaowei Sun, Jin Li, Yili Hong +2Cost-Aware InferenceConstrained RL

    College of Computer Science and Artificial Intelligence, Fudan University · College of Software Engineering, Southeast University · School of Artificial Intelligence, Shanghai Jiao Tong University

  4. BCPPO: Bachelier-Inspired Constrained Proximal Policy Optimization for Tail-Risk-Aware Safe Reinforcement Learning

    Aug 31, 2026Dongsheng Hou, Yanqiao Chen, Yuhan RuiReinforcement LearningConstrained RL

    Southern University of Science and Technology

  5. GPAgentBench-2K: Benchmarking Large Language Model Agents in Complex Clinical Action Space

    Aug 31, 2026Boqi Chen, Xudong Liu, Yunke Ao +2HealthcareConstrained RL

    ETH Zurich · MBZUAI · University of Toronto

  6. Redistribution-based Cost Inference Improves Sparse Safe Offline RL

    Aug 12, 2026Ebenezer Gelo, Geraud Nangue Tasse, Steven James +1Credit Assignment in RLStep-Level Credit Assignment in RL

    University of the Witwatersrand · University of the Witwatersrand Johannesburg, South Africa

  7. GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs

    Aug 12, 2026Kai Yang, Jingwei Xu, Wanyu Wang +4RL for Language Model ReasoningConstrained RL

    School of Computer Science, Shanghai Jiao Tong University · Shanghai Artificial Intelligence Laboratory · NovaCore +3

  8. Boundary-Seeking Policy Gradient for Safe Reinforcement Learning

    Aug 10, 2026Chenhua Fan, Jiahui Zhu, Yuhang Zhang +1Markov Decision ProcessesConstrained RL

    School of EECS, Washington State University, Pullman, WA 99163, USA

  9. Navigating the Proximity-Safety Balance: Constraint Decomposition for Human Following in Pedestrian Crowds

    Aug 10, 2026Shiting Gong, Jianpeng Yao, Jinfeng Wang +2Constrained RLRobotic RL

    University of Pennsylvania, PA, USA · University of California, Riverside, CA, USA · 3Stanford University, CA, USA +2

  10. Generative Optimization for Incentivized Advertising with Global Level Constraints

    Aug 5, 2026Gege Chen, Ning Luo, Hao Jiang +7Constrained Generative ModelingOnline Advertising

    University of Electronic Science and Technology of China · Kuaishou Technology

  11. Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection

    Aug 3, 2026Patrick Helm, Jan-Niklas Doerr, Joren Gijsbrechts +1Inventory ControlConstrained RL

    TUM School of Management, Technical University of Munich · Esade, Ramon Llull University · Munich Data Science Institute (MDSI), Technical University of Munich

  12. Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints

    Aug 3, 2026Yeonseo Jeong, Wonhyeok Ko, Sungweon Hong +1Stochastic OptimizationFair Resource Allocation

    Department of Electronic Engineering, Hanyang University, Seoul, Korea · Department of AI-Semiconductor, Hanyang University, Seoul, Korea

  13. Learning-Based Stochastic Optimal Control with Infinite-Horizon Probabilistic Constraints

    Aug 2, 2026Francesco Cordiano, Kanghui He, Bart De SchutterChance-Constrained OptimizationMarkov Decision Processes

    Delft Center for Systems and Control, Delft University of Technology, 2628 CD, Delft, The Netherlands · Department of Engineering Science, University of Oxford, OX1 3PJ Oxford, U.K.

  14. Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control

    Aug 2, 2026Zuyuan Zhang, Vaneet Aggarwal, Tian LanReinforcement LearningPolicy Optimization

    The George Washington University · Purdue University

  15. Hierarchical Multilevel Monte Carlo for Order-Optimal Neural Actor-Critic in Average-Reward CMDPs

    Jul 30, 2026Ankur Naskar, Vaneet AggarwalAverage-Reward RLConstrained RL

    Indian Institute of Science, India · Purdue University, USA

  16. Constrained Reinforcement Learning Using Successor Representations

    Jul 27, 2026Michael Girstl, Alexander Mattick, Christopher MutschlerConstrained RLSafe RL

    Technical University of Darmstadt (TU Darmstadt) · Hessian Center for Artificial Intelligence (hessian.AI) · Fraunhofer Institute for Integrated Circuits IIS, Fraunhofer IIS +1

  17. Bridging Reinforcement Learning and Optimal Control via Feasible Action Mapping

    Jul 27, 2026Stefan Richter, Alberto Giammarino, Guillem Torrente +2Robotic ControlRL Control

    Sony AI, Zurich, Switzerland

  18. FORGE-plus: Force-Budgeted Recovery for Contact-Rich Assembly with a Frozen LLM Supervisor

    Jul 23, 2026Kyupaeck Jeff Rah, Midum OhReinforcement LearningLanguage Model-Based Control

    Independent Researcher

  19. Safe Remediation as Risk-Constrained Intervention Decision in Microservice Systems

    Jul 22, 2026Chengxiao Dai, Zhaokun Yan, Chenjun Lei +2Constrained RL

    School of Computer Science, University of Sydney, Sydney, Australia · School of Computation, Information and Technology, Technical University of Munich, Munich, Germany · College of Business and Economics, Australian National University, Canberra, Australia +2

  20. SteinGate: Tail-Sensitive Safe Reinforcement Learning via Stein Discrepancy

    Jul 14, 2026Yassine Chemingui, Chenhua Fan, Honghao Wei +1Constrained RLRisk-Sensitive RL

    School of Electrical Engineering and Computer Science, Washington State University, Pullman, Washington, USA

  21. Knowledge- and Gradient-Guided Reinforcement Learning for Parametrized Action Markov Decision Processes

    Jul 14, 2026Jonas Ehrhardt, René Heesch, Oliver NiggemannReinforcement LearningConstrained RL

    Helmut-Schmidt-University, Hamburg, Germany

  22. Directional Constraints for Efficient Exploration in Safe Reinforcement Learning

    Jul 14, 2026Paolo Magliano, Puze Liu, Jan Peters +2Constrained RLRobotic RL

    Dipartimento di Automatica e Informatica, Politecnico di Torino, Turin, Italy · Tongji University, Shanghai Research Institute for Intelligent Autonomous Systems · German Research Center for AI (DFKI) +3

  23. Constraint-Aware Aggregation for Federated Reinforcement Learning in Microgrid Energy Coordination

    Jul 14, 2026Usman Haider, Karl MasonFederated Learning AggregationFederated RL

    School of Computer Science, University of Galway, Ireland.

  24. PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers

    Jul 10, 2026Yujie Pang, Zudong LiReinforcement LearningContact-Rich Robotic Manipulation

    Dept. of Mechanical and Energy Engineering · Southern University of Science and Technology · Shenzhen, China

  25. RLVP: Penalize the Path, Reward the Outcome

    Jul 8, 2026Bojie Li, Noah ShiAgentic RLConstrained RL

    Pine AI · University of Washington

  26. Safe Reinforcement Learning using Ideas from Model Predictive Control

    Jul 8, 2026Georg Schäfer, Jakob Rehrl, Stefan Huber +1Constrained RLSafe RL

    Josef Ressel Centre for Intelligent and Secure Industrial Automation, Salzburg University of Applied Sciences, Salzburg, Austria · Department of Artificial Intelligence and Human Interfaces, Paris Lodron University of Salzburg, Salzburg, Austria

  27. CARL: Constraint-Aware Reinforcement Learning for Planning with LLMs

    Jul 6, 2026Qiuyi Qi, Jinjian Zhang, Mutian Bao +9RL for Language ModelsLLM Planning

    Zhejiang University · Ant Group · City University of Hong Kong

  28. CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning

    Jul 4, 2026Jiayi Guan, Tianle Zhang, Li Shen +8Reinforcement LearningConstrained RL

    Tongji University, Shanghai, China · JD Explore Academy, Beijing, China · School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China +2

  29. Lightweight Safe Reinforcement Learning for End-to-End UAV Navigation

    Jul 2, 2026Shenghui Zhang, YuXuan Gao, Songwei Zhao +3Robot Policy LearningUAV Navigation

  30. Learning Expert Strategy for Autonomous Robotic Endovascular Intervention via Decoupled Procedural Execution

    Jun 30, 2026Yanxi Chen, Tianliang Yao, Shaolong Tang +5RL for RoboticsHierarchical RL

    Department of Control Science and Engineering, College of Electronics and Information Engineering, and Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 200092, China · School of Mechanical Engineering, Tongji University, Shanghai 200092, China · Department of Electronic Engineering, Faculty of Engineering, The Chinese University of Hong Kong, Hong Kong SAR 999077, China +2