Physics-Informed RL

RL: Reinforcement Learning

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2 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

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  1. Physics-Informed Multi-Agent Coordination for Hospital Patient Flow Optimization

    Sep 29, 2026Guoqing Zhang, Rafik Hadfi, Takayuki ItoMulti-Agent CoordinationHealthcare

    Graduate School of Informatics, Kyoto University, Kyoto, Japan

  2. Dynamics-Informed Reinforcement Learning for Agile and Energy-Efficient Locomotion of a Monopedal Hopping Quadcopter

    Sep 14, 2026Ruigang Chen, Qi Zhang, Zhicheng Zhong +3Energy-Efficient Robot LocomotionRobot Locomotion

    Department of Mechanical Engineering and Robotics, Guangdong Technion - Israel Institute of Technology, Shantou, 515063, Guangdong, China. · Department of Mechanical Engineering, Technion-Israel Institute of Technology, Haifa, 3200003, Israel.

  3. 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

  4. A Physics-Informed Framework for PID Tuning of Chemical Processes Using Large Language Model Agents

    Jul 29, 2026Zhoupeng Shou, Xiaodong Hong, Congjing Ren +3Language Model-Based ControlFeedback Control

    State Key Laboratory of Chemical Engineering, Department of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China · Engineering Research Center of Functional Materials Intelligent Manufacturing of Zhejiang Province, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, China · Ningbo Innovation Center, Zhejiang University, Zhejiang, China

  5. 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

  6. 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

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

    Jul 15, 2026Slava AndrejevRL ControlReinforcement Learning

  8. Robust In-Hand Manipulation via Priors in Reinforcement Learning and Mechanical Design

    Jul 13, 2026Yifei Chen, Shihan Lu, Ed Colgate +1Robotic Hand DesignRobotic Grasping

    Center for Robotics and Biosystems, Northwestern University

  9. Physics-Guided Biomechanical Gait Adaptation for Humanoid Locomotion on Extreme Sloped Terrains

    Jul 8, 2026Xuanyu Chen, Mohan Liu, Dengchen Mei +6Humanoid Robot LocomotionReinforcement Learning

    Nanyang Technological University · A*STAR

  10. Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids

    Jul 6, 2026Omar Al-Refai, Ibrahim Shahbaz, Adam Ali Husseinat +1Reinforcement LearningFederated RL

    iSTAR Lab, Texas A&M University College Station, TX, USA

  11. High-Precision Formation Control for Heterogeneous Multi-Robot Systems via Hierarchical Hybrid Physics-Informed Deep Reinforcement Learning

    Jul 3, 2026Yanzhou Li, Guangli Chen, Xiao-Meng Li +3Multi-Robot Formation ControlMulti-Robot Systems

    Dongguan Key Laboratory of Intelligent Equipment and Smart Industry, School of Advanced Engineering, Great Bay University, Dongguan 523000, China · Chair of Applied Statistics, Technische Universität Dresden, Dresden, Germany · School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China +2

  12. 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

  13. TRIDENT: Breaking the Hybrid-Safety-Physics Coupling for Provably Safe Multi-Agent Reinforcement Learning

    Jun 16, 2026Zijie Meng, Ziwei Li, Yufei Liu +5Cyber-Physical SystemsReinforcement Learning

    Peking University · National Taiwan University · WHU +1

  14. MatMind: A Structure-Activity Knowledge-Driven Generative Foundation Model for Materials Science

    Jun 5, 2026Zhan'ao Yao, Boxuan Zhang, Jingyuan Shu +10Materials Property PredictionCrystal Structure Generation

    State Key Laboratory of High Performance Ceramics, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai, 200050, China. · Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China. · State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun East Road, Beijing, 100190, China. +5

  15. Physics-informed Goal-Conditioned Reinforcement Learning under Hybrid Contact Dynamics

    May 28, 2026Vittorio Giammarino, Anastasios Manganaris, Ahmed H. QureshiReinforcement LearningContact-Rich Robotic Manipulation

    Department of Computer Science Purdue University

  16. QuietWalk: Physics-Informed Reinforcement Learning for Ground Reaction Force-Aware Humanoid Locomotion Under Diverse Footwear

    Apr 26, 2026Hanze Hu, Luying Feng, Silu Chen +6Humanoid Robot LocomotionRobot Locomotion