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. Learning to Modulate, Not to Cycle: Soft Actor---Critic Recovers Inverter-Style Heat-Pump Control

    Aug 10, 2026Faizan Ahmed, Aniket Dixit, James BruseyRL ControlFeedback Control

    Centre for Computational Science and Mathematical Modelling, Coventry University, United Kingdom

  2. Learning Suffers More Than the Policy Class Under Partial Observability: A Closed-Form Analysis

    Aug 7, 2026Idil GözelRL ControlReinforcement Learning

    University College London · Department of Physics and Astronomy University College London, London, UK

  3. Unified Planning-Learning Framework for Robust UUV Navigation Under Partial Observability

    Aug 5, 2026Md Ether Deowan, Eleni KelasidiRL ControlPartially Observable RL

    Department of Mechanical and Industrial Engineering, Faculty of Engineering, NTNU, Trondheim, Norway.

  4. Toward Integrating Adaptive Experience Replay and Online Uncertainty Estimation in Safe Actor-Critic Optimal Control

    Aug 5, 2026Mahshad Rastegarmoghaddam, Davoud Nikkhouy, Shima SamadzadehRL ControlReinforcement Learning

    Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy

  5. Foundations of Reinforcement Learning and Control:Connections and New Perspectives

    Aug 3, 2026Claire Vernade, Onno Eberhard, Martha White +4RL ControlData-Driven Control

    University of Technology Nuremberg · Max Planck Institute for Intelligent Systems, Tübingen, Germany · University of Alberta and Alberta Machine Intelligence Institute (Amii) +2

  6. Track-Guided Hierarchical Reinforcement Learning for Autonomous Vehicle Drifting with Minimum-Lap-Time Planning

    Jul 31, 2026Sheng Zhao, Bolin Zhao, Xiaodong Wu +1RL ControlHierarchical RL

    School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China · School of Mechanical and Aerospace Engineering, Nanyang Technological University, 639798, Singapore

  7. Physics-Aware End-to-End Deep Reinforcement Learning for Quadcopter Control with Actuator Dynamics

    Jul 28, 2026Ya-Chia Shen, Woei-Leong ChanRL ControlQuadrotor Control

    Department of Computer Science and Information Engineering, National Cheng Kung University · Department of Aeronautics and Astronautics, National Cheng Kung University

  8. Cutting AI Datacenter Energy with Reinforcement Learning: Measured Power Control of LLM Training from One GPU to the Fleet

    Jul 27, 2026Eliseo CurcioRL ControlEnergy-Efficient ML

    Advanced Department of Artificial Intelligence and Energy – New York

  9. Explainable Reinforcement Learning via Physics-Aware Policy Distillation

    Jul 27, 2026Shaker Al-Tamari, Waled KadourRL ControlInterpretability in RL

    Dept. of Electrical and Computer Engineering RPTU Kaiserslautern-Landau Kaiserslautern, Germany

  10. ACRL: Adaptive Control of Training-Inference Discrepancy for Stable Reinforcement Learning

    Jul 27, 2026Wenwu Fan, Qihong Lin, Zhijie Xia +4RL ControlRL for Language Models

    Computing Product Line, Huawei

  11. 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

  12. Expert Behavior Prior Reinforcement Learning

    Jul 23, 2026Gong Gao, Weidong Zhao, Xianhui Liu +1RL ControlReinforcement Learning

    School of Computer Science, Tongji University, China

  13. Deep Reinforcement-Learning-Guided Model Predictive Control for Preventing Overtakes in Autonomous Racing

    Jul 23, 2026Yufei Xi, Yijie Liao, Tulga ErsalRL ControlNonlinear MPC

    Department of Mechanical Engineering, College of Engineering, University of Michigan, Ann Arbor, MI, USA. · Department of Electrical Engineering and Computer Science, College of Engineering, University of Michigan, Ann Arbor, MI, USA. · School of Computing, National University of Singapore, Singapore.

  14. Generalized Kalman filter based temporal difference reinforcement learning

    Jul 22, 2026Vasos Arnaoutis, Eric Lutters, Bojana RosićRL ControlReinforcement Learning

    Applied Mechanics and Data Analysis, Faculty of Engineering Technology, University of Twente, Enschede, the Netherlands · Department of Design, Production and Management, Faculty of Engineering Technology, University of Twente, Enschede, the Netherlands · Digital Engineering research group, Faculty of Mechanical and Industrial Engineering, Vienna University of Technology, Vienna, Austria

  15. HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems

    Jul 21, 2026Nicolò Botteghi, Gabriele Pascali, Urban Fasel +1RL ControlHypernetworks

    MOX, Department of Mathematics · Politecnico di Milano · Milano, Italy +3

  16. Reinforcement Learning for Delivery Drone-Based Participatory Sensing in Dynamic Environments

    Jul 21, 2026Xin Ouyang, Songxin Lei, Xusen Guo +3RL ControlReinforcement Learning

    The Hong Kong University of Science and Technology (Guangzhou) Guangzhou, China · Beijing Institute of Technology Beijing, China

  17. Differentiable Reinforcement Learning for Path Tracking by an Agile Fish-Like Robot

    Jul 17, 2026Prashanth Chivkula, Kartik Loya, Venkata Ravindhra Reddy Varikuti +1Robotic ControlRL Control

    Department of Mechanical Engineering, Clemson University, USA

  18. Physics-enhanced reinforcement learning for real-time optimal control of dynamical systems

    Jul 17, 2026Matteo Tomasetto, Nicolò Botteghi, Gabriele Bruni +1RL ControlReinforcement Learning

    Department of Mechanical Engineering, Politecnico di Milano, Milano, Italy · MOX - Department of Mathematics, Politecnico di Milano, Milano, Italy

  19. Lyapunov Exponent as Physics-Informed Dense Reward: RL Discovery of Stabilization Beyond the Kapitza Pendulum

    Jul 15, 2026Slava AndrejevRL ControlReinforcement Learning

  20. Deconstructing Actor-Critic: A Large-scale Empirical Study of Design Components for Practitioners

    Jul 14, 2026Haseeb Shah, Lingwei Zhu, Adam White +1RL ControlReinforcement Learning

    Department of Computing Science, University of Alberta, Canada · Alberta Machine Intelligence Institute (amii), Canada · Great Bay University, China +1

  21. Heuristic Learning for Active Flow Control Using Coding Agents

    Jul 13, 2026Paul Garnier, Jonathan Viquerat, Elie HachemRL ControlLanguage Model-Based Control

    Mines Paris - PSL University · Centre for Material Forming (CEMEF) · CNRS +1

  22. Calibration-First Reward-Component Auditing for Reinforcement Learning Control in Smart Greenhouses

    Jul 12, 2026Yuhui Bie, Guowei Xu, Yaojun WangRL ControlReinforcement Learning

    aCollege of Information and Electrical Engineering, China Agricultural University, Beijing, China

  23. CORL-AUV: CFD Oriented Reinforcement Learning for Autonomous Underwater Vehicles

    Jul 10, 2026Steven Roche, Milo Van Mooy, Nathan McGuire +3RL ControlRL for Robotics

    MIT-WHOI Joint Program, MA 02543, USA · WHOI, MA 02543, USA · Massachusetts Institute of Technology, Cambridge, MA 02319, USA

  24. Latent Memory Palace: Reasoning for Control as Autoregressive Variational Inference

    Jul 9, 2026Chuning Zhu, Eva Xu, Jose Barreiros +3RL ControlLatent Action Learning

    University of Washington · Toyota Research Institute

  25. RL-Ballast: Ship Ballast Water Path Planning and Clog Prediction via Reinforcement Learning

    Jul 6, 2026Ming-Kuan Lin, Yi-Chung Lai, Ming-Hsin Chiang +2RL ControlReinforcement Learning

    Department of Electrical Engineering, National Taiwan Ocean University, Keelung 20224, Taiwan · AI Research Center · Shinsoft Corporation, Taiwan +1

  26. Sample-Efficient Pareto Front Modeling for Energy-Aware Reinforcement Learning Using Bayesian Optimization

    Jul 3, 2026Georg Schäfer, Jakob Rehrl, Stefan Huber +1RL ControlMulti-Objective Reinforcement Learning

    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. Anticipatory Reinforcement Learning for Trajectory Tracking

    Jul 3, 2026Georg Schäfer, Jakob Rehrl, Stefan Huber +1RL ControlRobot Trajectory Tracking

    Josef Ressel Centre for Intelligent and Secure Industrial Automation, Salzburg University of Applied Sciences, Salzburg, Austria · Paris Lodron University of Salzburg, Salzburg, Austria

  28. Integrating Physics-Informed Neural Networks for Safe Reinforcement Learning in a 1-DoF Helicopter System

    Jul 3, 2026Georg Schäfer, Jakob Rehrl, Stefan HuberRL ControlReinforcement Learning

    Josef Ressel Centre for Intelligent and Secure Industrial Automation, Salzburg University of Applied Sciences, Salzburg, Austria · Paris Lodron University of Salzburg, Salzburg, Austria

  29. Learning Agile Intruder Interception using Differentiable Quadrotor Dynamics

    Jul 2, 2026Michael Anoruo, Xiaoyu Tian, Abhishek Rathod +5RL ControlRobot Policy Learning

    Carnegie Mellon University · Artificial Intelligence Integration Center

  30. Rank-Then-Act: Reward-Free Control from Frame-Order Progress

    Jul 2, 2026Yuriy Maksyuta, George Bredis, Ruslan Rakhimov +1RL ControlReward Modeling

    T-Tech