RL Control

RL: Reinforcement Learning

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23 papers in the last four weeks, up 475% on the four weeks before. 0.2% of all new papers.

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  1. Fully Dynamic Rebalancing in Dockless Bike-Sharing Systems via Deep Reinforcement Learning

    May 14, 2026Edoardo Scarpel, Alberto Pettena, Matteo Cederle +3RL ControlReinforcement Learning

    University of Padua, via Gradenigo 6/B, 35131, Padua, Italy

  2. Policy Optimization in Hybrid Discrete-Continuous Action Spaces via Mixed Gradients

    May 14, 2026Matias Alvo, Daniel Russo, Yash KanoriaRL ControlReinforcement Learning

    Graduate School of Business Columbia University

  3. High-lift Wing Separation Control via Bayesian Optimization and Deep Reinforcement Learning

    May 12, 2026Ricard Montalà, Bernat Font, Oriol Lehmkuhl +2RL ControlFeedback Control

    1TUAREG, Universitat Politècnica de Catalunya (UPC), Terrassa, Spain · 2Mechanical Engineering, Delft University of Technology (TU Delft), Delft, Netherlands · 3CASE, Barcelona Supercomputing Center (BSC), Barcelona, Spain +1

  4. Learning When to Act: Communication-Efficient Reinforcement Learning via Run-Time Assurance

    May 11, 2026Adam Haroon, Erick J. Rodríguez-Seda, Cody Fleming +1RL ControlLyapunov-Based Control

    Department of Mechanical Engineering, Iowa State University, Ames, IA, USA · Navy Center for Applied Research in Artificial Intelligence (NCARAI), U.S. Naval Research Laboratory, Washington, D.C., USA · Department of Weapons, Robotics, and Control Engineering, United States Naval Academy, Annapolis, MD, USA

  5. Revisiting Mixture Policies in Entropy-Regularized Actor-Critic

    May 9, 2026Jiamin He, Samuel Neumann, Jincheng Mei +2RL ControlPolicy Optimization

    University of Alberta & Amii · Google DeepMind · Canada CIFAR AI Chair

  6. When (and How) to Trust the Expert: Diagnosing Query-Time Expert-Guided Reinforcement Learning

    May 9, 2026Yann Berthelot, Philippe Preux, Riad AkrourRL ControlRL Benchmarks

    UMR 9189 – CRIStAL · CNRS, Inria, Centrale Lille · Saint-Gobain Research Paris +3

  7. Anatomical Landmark-Guided Deep Reinforcement Learning for Autonomous Gastric Navigation

    May 8, 2026Haoxuan Wu, Sishen Yuan, Haitao Gao +3RL ControlEndoscopy

    Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China

  8. Temporal Attention for Adaptive Control of Euler-Lagrange Systems with Unobservable Memory

    May 7, 2026Giansalvo Cirrincione, Adriano FagioliniRL ControlRobot Trajectory Tracking

    Laboratoire LTI, Université de Picardie Jules Verne, Amiens, France · MIRPALab, Department of Engineering, University of Palermo, 90128 Palermo, Italy

  9. Soft Deterministic Policy Gradient with Gaussian Smoothing

    May 7, 2026Hyunjun Na, Donghwan LeeRL ControlPolicy Gradient

    School of Electrical Engineering, KAIST 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Korea

  10. Offline Reinforcement Learning for Rotation Profile Control in Tokamaks

    May 7, 2026Rohit Sonker, Hiro Josep Farre Kaga, Jiayu Chen +5RL ControlOffline RL

    1Robotics Institute, Carnegie Mellon University · 2Princeton University · 4The University of Hong Kong +2

  11. Hidden States as Value Gradients: The Pontryagin Structure of Recurrent Policies

    May 6, 2026David Leeftink, Max Hinne, Marcel van GervenRL ControlReinforcement Learning

    Department of Machine Learning and Neural Computating Donders Institute for Brain, Cognition and Behaviour Radboud University, Nijmegen, the Netherlands.

  12. Worst-Case Discovery and Runtime Protection for RL-Based Network Controllers

    May 6, 2026Hongyu Hè, Minhao Jin, Maria ApostolakiRL ControlSafe RL

    Princeton

  13. Sim-to-Real Transfer and Robustness Evaluation of Reinforcement Learning Control with Integrated Perception on an ASV for Floating Waste Capture

    May 4, 2026Luis F. W. Batista, Stéphanie Aravecchia, Cédric PradalierRL ControlSim-to-Real Transfer

    GeorgiaTech Europe - IRL2958 GT-CNRS, Metz, France

  14. Closed-Loop CO2 Storage Control With History-Based Reinforcement Learning and Latent Model-Based Adaptation

    May 4, 2026Sofianos Panagiotis Fotias, Vassilis GaganisRL ControlLatent Dynamics Modeling

    School of Mining and Metallurgical Engineering, National Technical University of Athens, Athens 157 73, Greece · Institute of Geoenergy, Foundation for Research and Technology, Chania, 73100, Greece

  15. Reinforcement Learning Trained Observer Control for Bearings-Only Tracking

    May 4, 2026Branko Ristic, Sanjeev ArulampalamRL Control

    School of Engineering, RMIT University, Melbourne, VIC3000, Australia · Defence Science and Technology Group, Australia

  16. Stability of Control Lyapunov Function Guided Reinforcement Learning

    May 3, 2026Zachary Olkin, William D. Compton, Aaron D. AmesRL ControlLyapunov Stability

    The authors are with the Department of Control and Dynamical Systems at the California Institute of Technology.

  17. Remote Action Generation: Remote Control with Minimal Communication

    May 3, 2026Szymon Kobus, Deniz GündüzRL ControlReinforcement Learning

    Electrical and Electronic Engineering Imperial College London

  18. Zero-Shot, Safe and Time-Efficient UAV Navigation via Potential-Based Reward Shaping, Control Lyapunov and Barrier Functions

    May 3, 2026Ashik Abrar Naeem, Mohammad Ariful HaqueRL ControlUAV Navigation

  19. Bi-Level Reinforcement Learning Control for an Underactuated Blimp via Center-of-Mass Reconfiguration

    May 2, 2026Xiaorui Wang, Hongwu Wang, Yue Fan +2RL ControlAerial Robotics

  20. An Automatic Ground Collision Avoidance System with Reinforcement Learning

    Apr 27, 2026Seyyid Osman Sevgili, Atahan Cilan, Mahir Demir +2RL ControlCollision Avoidance

    Turkish Aerospace Istanbul, Turkey

  21. An Aircraft Upset Recovery System with Reinforcement Learning

    Apr 27, 2026Mahir Demir, Atahan Cilan, Seyyid Osman Sevgili +2RL Control

    Turkish Aerospace Istanbul, Turkey

  22. Perfecting Aircraft Maneuvers with Reinforcement Learning

    Apr 27, 2026Atahan Cilan, Mahir Demir, Özgün Can Yürütken +2RL Control

    Turkish Aerospace Istanbul, Turkey

  23. MUSIC: Learning Muscle-Driven Dexterous Hand Control

    Apr 26, 2026Pei Xu, Yufei Ye, Shuchun Sun +3Robotic ControlRL Control

    Stanford University, USA · Clemson University, USA

  24. GIFT: Global stabilisation via Intrinsic Fine Tuning

    Apr 25, 2026Rory Young, Nicolas PugeaultRL ControlReinforcement Learning

    School of Computing Science University of Glasgow

  25. Insect-inspired modular architectures as inductive biases for reinforcement learning

    Apr 23, 2026Anne E. StaplesRL ControlReinforcement Learning

    Department of Mechanical Engineering, Virginia Tech, Blacksburg, Virginia 24061, USA

  26. A Systematic Review and Taxonomy of Reinforcement Learning-Model Predictive Control Integration for Linear Systems

    Apr 22, 2026Mohsen Jalaeian Farimani, Roya Khalili Amirabadi, Davoud Nikkhouy +3RL ControlModel Predictive Control

    Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Milan, Italy · Department of Applied Mathematics, Ferdowsi University of Mashhad, Mashhad, Iran · Department of Applied Mathematics, Faculty of Mathematical Sciences, University of Guilan, Rasht, Iran +2

  27. Safe Continual Reinforcement Learning in Non-stationary Environments

    Apr 21, 2026Austin Coursey, Abel Diaz-Gonzalez, Marcos Quinones-Grueiro +1RL ControlNon-Stationary RL

    Institute for Software Integrated Systems, Vanderbilt University

  28. RL-ABC: Reinforcement Learning for Accelerator Beamline Control

    Apr 21, 2026Anwar Ibrahim, Fedor Ratnikov, Maxim Kaledin +2RL ControlHigh-Energy Physics

  29. Safe Deep Reinforcement Learning for Building Heating Control and Demand-side Flexibility

    Apr 17, 2026Colin Jüni, Mina Montazeri, Yi Guo +3RL ControlBuilding Energy Management

    Urban Energy Systems Laboratory, Swiss Federal Laboratories for Materials Science and Technology, Dubendorf, Switzerland. · School of Automation, Beijing Institute of Technology, Haidian District, Beijing, China · Reliability and Risk Engineering Laboratory, ETH Zürich, CH-8092, Switzerland.

  30. When does learning pay off? A study on DRL-based dynamic algorithm configuration for carbon-aware scheduling

    Apr 2, 2026Andrea Mencaroni, Robbert Reijnen, Yingqian Zhang +1RL ControlLearning to Optimize

    Department of Industrial Systems Engineering and Product Design, Ghent University, Ghent, Belgium · Industrial Systems Engineering (ISyE), Flanders Make, Kortrijk, Belgium · Eindhoven Artificial Intelligence Systems Institute, Eindhoven University of Technology, The Netherlands +1