Learning-Based Control

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9 papers in the last four weeks, up 200% on the four weeks before. 0.1% of all new papers.

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  1. Structured Representation Learning for Behavior Cloning: How can we learn to safely control a nuclear power plant?

    Oct 5, 2026Perceval Beja-Battais, Alain Grosset{ê}te, Nicolas VayatisLearning-Based Control

    CB

  2. Safe-by-Design Learning via Energy-based Neural Networks

    Sep 29, 2026Simone Betteti, Morteza Lahijanian, Luca LaurentiProbabilistic SafetyLearning-Based Control

    RIAS Lab The Italian Institute of Artificial Intelligence for Industry Torino, 10129, ITA · RECUV University of Colorado Boulder Boulder, CO 80303, USA · Delft Center for Systems and Control, TU Delft, Delft, 2600 AA, The Netherlands

  3. Residual Learning-Based Control of Vehicle Platoons with ℓ2\ell_2 Stability Guarantees via Recurrent Equilibrium Networks

    Sep 27, 2026Brian Delgado, Anh-Tu Nguyen, Hamid TaghavifarLearning-Based ControlL2

    Concordia University, Montreal, QC, Canada · Research Center LAMIH UMR CNRS 8201, Université Polytechnique Hauts-de-France, and also with INSA Hauts-de-France, Valenciennes, France

  4. Error- and Prediction-Driven Motor Learning in the Cortico-Cerebellar Loop

    Sep 24, 2026Ana Carolina Filipe, Rui Ponte Costa, Cláudia SoaresLearning-Based ControlLearning Dynamics

    Department of Computer Science, NOVA School of Science and Technology, Caparica, Portugal · Centre for Neural Circuits and Behaviour, University of Oxford

  5. FlyCNS: Connectome-Grounded Information Organization for Communication-Constrained Embodied Control

    Sep 23, 2026Jinchang Zhang, Jiakai Lin, Guoyu LuLearning-Based ControlSensorimotor Experience

    Intelligent Vision and Sensing (IVS) Lab at Indiana University Bloomington

  6. Temporal Learning for End-Effector Position Estimation under Aerodynamic Disturbances in Aerial Continuum Manipulation

    Sep 23, 2026Niloufar Amiri, Houman Masnavi, Farrokh Janabi-SharifiAerial ManipulationAerodynamics

    Department of Mechanical, Industrial, and Mechatronics Engineering, Toronto Metropolitan University, Toronto, ON, Canada

  7. ARM: Attention with Routed-Memory for Learnable Sparse Control

    Sep 21, 2026Qiuhao Zeng, Jerry Huang, Peng Lu +7Efficient Long-Context InferencePeak Memory

    University of Toronto, Canada · Vector Institute, Canada · RIKEN AIP, Japan +3

  8. PINGU: Extending Air-Bearing Spacecraft Emulators with Open-Source Actuators and Learned Control for Contact-Rich Proximity Operations

    Sep 20, 2026Ricard Marsal I Castan, Akiyoshi Uchida, Aman Arora +7ActuatorLearning-Based Control

    University of Luxembourg · Tohoku University · Georgia Institute of Technology

  9. Learned Bow Control on a Measured Bowed-String Model: a Revised Minimum-Bow-Force Law, a Recurrent Controller, and the Domain of a Supervision Ceiling

    Sep 14, 2026Homayoon Beigi, Grace ConneelyLearning-Based ControlFriction

    Department of Mechanical Engineering, Columbia University, New York, NY, USA · Department of Electrical Engineering, Columbia University, New York, NY, USA · Recognition Technologies, Inc., South Salem, NY, USA

  10. VertexCBF: Improving Neural Control Barrier Functions via Vertex-Restricted Control Search

    Sep 11, 2026Bojan Derajić, Sebastian Bernhard, Wolfgang HönigControl Barrier FunctionsLearning-Based Control

    Technical University of Berlin, Germany · AUMOVIO, Germany · Technical University of Applied Sciences Augsburg, Germany +1

  11. From Prior-Guided Heuristics to Deployable Agents: Accelerating Demonstration-Driven Reinforcement Learning for Deadline-Constrained Network Control

    Sep 3, 2026Vincenzo Norman Vitale, Mohammad Solki, Antonia Maria Tulino +2Bringing Network CodingLearning-Based Control

    DIETI, University of Naples Federico II, Via Claudio 21, Naples, 80125, Italy · New York University, 6 MetroTech Center, Brooklyn, New York, 11201, USA · University of Southern California, 3740 McClintock Ave., Los Angeles, 90089, California, USA +2

  12. History-informed Lagrangian Neural Networks

    Aug 13, 2026Tianshuo Zhang, Xianglei Xing, Wenzhe Zhai +2Lagrangian MethodsParametric Physics-Informed Neural Network

    College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China

  13. Predictive safety filter enhanced curriculum learning control for efficient vehicle dynamics controller

    Aug 10, 2026Baocong Zhang, Siliang Lu, Chenyang LiVehicle DynamicsSafety Filters

    1Shanghai Jiaotong University, Shanghai, China · 2Bosch Corporate Research, Shanghai, China

  14. Latent Lie-Poisson Neural Networks (LLPNNs): Discovering the motion of Lie-Poisson systems through observable data and latent dynamics

    Jul 31, 2026Vakhtang PutkaradzeLatent DynamicsHamiltonian

    Department of Mathematics, The University of Alabama, Gordon Palmer Hall, Tuscaloosa, AL, 35401, USA

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

    Jul 21, 2026Nicolò Botteghi, Gabriele Pascali, Urban Fasel +1Learning-Based ControlRobust Control

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

  16. NeuralActuator: Neural Actuation Modeling for Robot Dynamics and External Force Perception

    Jul 13, 2026Zhiyang Dou, John U. Onyemelukwe, Hangxing Zhang +9ActuatorInverse Dynamics

    1MIT · 2Amazon Robotics

  17. Implicit Neural Networks as Static Controllers: Certificates and Performance Separation

    Jul 13, 2026Giuseppe C. Calafiore, Laurent El GhaouiLearning-Based ControlRobust Control

  18. Dynamic neural manifolds for flexible closed-loop control on neuromorphic hardware

    Jul 8, 2026Oskar von Seeler, Christian Tetzlaff, Andrew LehrNeural DynamicsNeuromorphic Computing

    Group of Computational Synaptic Physiology, Department of Neuro- and Sensory Physiology, University Medical Center Göttingen, Germany · Campus Institute Data Science, University of Göttingen, Germany · Circulant Labs, Bensheim, Germany

  19. Neural-ESO: A Dual-Pathway Architecture for Provably Robust Learning-Based Control

    Jul 7, 2026Fan Zhang, Richie Suganda, Jinfeng Chen +4Learning-Based ControlLyapunov Function

    Department of Engineering Technology, University of Houston, USA · Department of Electrical and Computer Engineering, University of Houston, USA · Department of Electrical Engineering, Rice University, USA

  20. Advances in Neural Controlled Differential Equations

    Jul 6, 2026Benjamin WalkerNeural Ordinary Differential EquationsLearning-Based Control

    Balliol College, University of Oxford

  21. Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning

    Jul 5, 2026Haiwen Yi, Xinyuan SongLarge Language Model AgentsAgent Harness

    University of Toronto · Emory University

  22. 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 +3Hierarchical Reinforcement LearningLearning-Based Control

    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

  23. Controllable Sim Agents with Behavior Latents

    Jul 2, 2026Juanwu Lu, Junyu Zhu, Ziran WangMicroscopic Traffic SimulationsLearning-Based Control

    Purdue University · University of Tokyo

  24. ShardNet: Training Neural Controllers with Hard, Non-Convex Constraints

    Jun 29, 2026Long Kiu Chung, Shreyas KousikSafety ConstraintsLearning-Based Control

    Department of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA.

  25. Hierarchical Decision Making with Structured Policies: A Principled Design via Inverse Optimization

    Jun 27, 2026Yuexuan Wang, Jingyuan Zhou, Kaidi YangHierarchical Reinforcement LearningControl Architecture

    Institute of Operations Research and Analytics, National University of Singapore · Department of Civil and Environmental Engineering, National University of Singapore

  26. Provably Sub-Linear Two-Timescale NeuroEvolution with Online Plasticity

    Jun 18, 2026Shishen Lin, Yixin ChenNeuroevolutionLearning-Based Control

    Department of Statistics, University of Warwick, Coventry, United Kingdom · 2Biozentrum, University of Basel, Basel, Switzerland

  27. Dual-Network PINNs for Optimal Control: A Reproducible Benchmark on the Mass-Spring-Damper System

    Jun 13, 2026Abdeladhim Tahimi, Rinaldo Vieira da Silva JuniorParametric Physics-Informed Neural NetworkOptimal Control

    Centro de Engenharias e Ciˆencias Agr´arias, Universidade Federal de Alagoas, Brazil

  28. Graph Diffusion Residuals for Control-Function Instrumental Variables

    Jun 12, 2026Rui Wu, Zongyuan Chen, Hong Xie +2Residual Conditional Diffusion ModelHeteroskedasticity

    School of Computer Science and Engineering University of Science and Technology of China

  29. Neural Architectures as Functional Priors in Physics-Informed Control Problems

    Jun 11, 2026Sonia Rubio Herranz, Fernando Carlos López Hernández, Antonio López MontesLearning-Based ControlParametric Physics-Informed Neural Network

    Department of Statistics and Operations Research (EIO), Universidad Complutense de Madrid, 28040 Madrid, Spain · Department of Software Engineering and Artificial Intelligence, Universidad Complutense de Madrid, 28040 Madrid, Spain · Department of Analysis and Applied Mathematics, Universidad Complutense de Madrid, 28040 Madrid, Spain

  30. HarnessBridge: Learnable Bidirectional Controller for LLM Agent Harness

    Jun 11, 2026Xiaoxuan Wang, Haixin Wang, Alexander Taylor +3Agent HarnessLarge Language Model Agents

    University of California, Los Angeles

  31. A Spiking Neural Architecture for Coordinating Arm and Locomotor Control

    Jun 9, 2026Lea Steffen, Kathryn Simone, Graeme Damberger +3Spiking Neural NetworksNeuromorphic Computing

    Centre for Theoretical Neuroscience Dept. of Systems Design Engineering University of Waterloo Waterloo, Canada · Applied Brain Research Waterloo, Canada · Dept. of Nanotechnology Engineering University of Waterloo Waterloo, Canada +1

  32. Learning Control as Enabling Layer for Embodied Intelligence Research explored with Soft Robotic Swimming in diverse Flow Speeds

    Jun 9, 2026Fabian Schwab, Federico Allione, Bingcheng Wang +5Soft RoboticsLearning-Based Control

    1Engineering Sciences Department, Swiss Federal Laboratories for Materials Science and Technology, Switzerland · Institute for NeuroInformatics, University of Zurich, Switzerland · Department of Electronic Engineering, University of Rome Tor Vergata, Italy

  33. Hybrid Neural Network and Conventional Controller Approach for Robust Control of Highly Unstable Systems: Application to Tilt-Rotor Control

    Jun 7, 2026Ali Kafili Gavgani, Amin Talaeizadeh, Aria Alasty +1RotorcraftLearning-Based Control

    Advanced Research Lab for Control and Agricultural Robotics (Sharif AgRoLab) Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran

  34. Learning Controlled Separation of Small Objects Between Two Fingers with a Tactile Skin

    May 29, 2026Ulf Kasolowsky, Berthold BäumlRobotic HandsTactile

    Learning AI for Dextrous Robots Lab (aidx-lab.org), Technical University of Munich, Germany · DLR Institute of Robotics and Mechatronics, German Aerospace Center

  35. Quantifying Uncertainty in Space Debris Capture with Active Tether-Net Systems Caused by Noisy Observations

    May 26, 2026Feng Liu, Achira Boonrath, Eleonora M. Botta +1Advanced Jet TrainerLearning-Based Control

    University at Buffalo · Buffalo, New York, 14260

  36. Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial

    May 26, 2026Haoyu Li, Xiangru Zhong, Hao Cheng +2Neural Network VerificationLearning-Based Control

    Department of Computer Science · Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA

  37. Parallel Differentiable Reachability for Learning and Planning with Certified Neural Dynamics and Controllers

    May 25, 2026Keyi Shen, Glen ChouReachabilityLearning-Based Control

    Georgia Institute of Technology, Atlanta, GA 30308

  38. Planning Neural Dynamics with Lie Group Embedding through Supervised Projective Manifold Learning

    May 24, 2026Tianwei Wang, Bryan Chen, Qian Zuo +3Lie GroupNeural Dynamics

    School of Informatics University of Edinburgh · Bio-inspired Computing and Machine Learning (BCML) Lab · School of Mathematics University of Edinburgh +2

  39. When Critics Disagree: Adaptive Reward Poisoning Attacks in RIS-Aided Wireless Control System

    May 19, 2026Deemah H. Tashman, Soumaya CherkaouiWireless CommunicationsLearning-Based Control

    Department of Computer and Software Engineering, Polytechnique Montreal, Montreal, Canada

  40. Neural Operators for Design-Space Surrogate Modeling of Tendon-Actuated Continuum Robots

    May 18, 2026Branden Frieden, James M. Ferguson, Alan Kuntz +1Neural OperatorsSoft Robotics

    The Robotics Center and the Kahlert School of Computing at the University of Utah, Salt Lake City, UT 84112, USA. · The Departments of Computer Science and Electrical and Computer Engineering at Vanderbilt University, Nashville, TN, 37203, USA.

  41. AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs

    May 15, 2026Haizhong Zheng, Yizhuo Di, Jiahui Wang +7Taxonomy-Driven Dataflow ModelLearning-Based Control

    1Carnegie Mellon University · University of Michigan · 3UC Berkeley +1

  42. Few-Shot Physics-Informed Neural Network for Shape Reconstruction of Concentric-Tube Robots

    May 12, 2026Navid Feizi, Filipe C. Pedrosa, Rajni V. Patel +1Cosserat Rod TheoryLearning-Based Control

    Canadian Surgical Technologies and Advanced Robotics (CSTAR), London Health Sciences Centre (LHSC), and with the Department of Electrical and Computer Engineering, Western University, London, Ontario, Canada

  43. Model-based Bootstrap of Controlled Markov Chains

    May 12, 2026Ziwei Su, Imon Banerjee, Diego KlabjanModel-Based Reinforcement LearningModel-Based Bootstrap

    Department of Industrial Engineering and Management Sciences Northwestern University Evanston, IL 60208

  44. A Deep Learning-based Receiver for Asynchronous Grant-Free Random Access in Control-to-Control Networks

    May 12, 2026Massimo Battaglioni, Edoardo Carnevali, Dania De Crescenzo +3Learning-Based ControlInterference

    Dipartimento di Ingegneria dell’Informazione, Università Politecnica delle Marche, 60131 Ancona, Italy

  45. Efficient Verification of Neural Control Barrier Functions with Smooth Nonlinear Activations

    May 8, 2026Jun Zhang, Haibo Zhang, Chun Liu +2Control Barrier FunctionsLearning-Based Control

    School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China · Beijing Institute of Control Engineering, Beijing, China · School of Mechatronic Engineering and Automation, Shanghai2026 University, Shanghai, China +1

  46. Neural Control: Adjoint Learning Through Equilibrium Constraints

    May 5, 2026Dezhong Tong, Jiawen Wang, Hengyi Zhou +3Learning-Based ControlDeformable Linear Objects

    The Robotics Department, University of Michigan, Ann Arbor, US · The Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, US

  47. Population Dynamics in ARIEL Robotics Systems Featuring Embodied Evolution via Spatial Mating Mechanisms

    Apr 29, 2026Victoria Peterson, Akshat Srivastava, Raghav PrabhakarEvolutionary Optimization MethodsPopulation Dynamics

    Vrije Universiteit Amsterdam, Netherlands

  48. Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control

    Apr 28, 2026Ankur Kamboj, Biswadip Dey, Vaibhav SrivastavaLearning-Based ControlActive Flow Control

    Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824 · Meta Reality Labs, Redmond, WA 98052

  49. Learning-Based Dynamics Modeling and Robust Control for Tendon-Driven Continuum Robots

    Apr 28, 2026Ziqing Zou, Ke Qiu, Fei Wang +3Learning-Based ControlRobust Control

    Department of Control Science and Engineering, Zhejiang University, Hangzhou, China

  50. Exploiting Differential Flatness for Efficient Learning-based Model Predictive Control of Constrained Multi-Input Control Affine Systems

    Apr 27, 2026Tobias A. Farger, Adam W. Hall, Angela P. SchoelligRobust ControlModel Predictive Control

    Learning Systems and Robotics Lab at the Technical University of Munich, Munich, Germany. · Learning Systems and Robotics Lab at the University of Toronto Institute for Aerospace Studies (UTIAS) and the Vector Institute for Artificial Intelligence, Toronto, Canada

  51. Safe Continual Reinforcement Learning in Non-stationary Environments

    Apr 21, 2026Austin Coursey, Abel Diaz-Gonzalez, Marcos Quinones-Grueiro +1Reinforcement Learning ControlSafety Constraints

    Institute for Software Integrated Systems, Vanderbilt University

  52. Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty

    Apr 21, 2026Hunter L. Brown, Geoffrey Hollinger, Stefan LeeRobotic Manipulation PoliciesReal-World Manipulation Tasks

    Collaborative Robotics and Intelligent Systems Institute, Oregon State University, Corvallis, OR

  53. HardNet++: Nonlinear Constraint Enforcement in Neural Networks

    Apr 21, 2026Andrea Goertzen, Kaveh Alim, Youngjae Min +1Inequality ConstraintsStructural Constraints

    Massachusetts Institute of Technology

  54. A Nonlinear Separation Principle via Contraction Theory: Applications to Neural Networks, Control, and Learning

    Apr 16, 2026Anand Gokhale, Anton V. Proskurnikov, Yu Kawano +1Neural NetworkLyapunov Function

    Center for Control, Dynamical Systems, and Computation, UC Santa Barbara, Santa Barbara, CA 93106 USA · Department of Electronics and Telecommunications, Politecnico di Torino, Italy, 10129 · Graduate School of Advanced Science and Engineering, Hiroshima University, Higashi-Hiroshima 739-8527, Japan

  55. Goal-Conditioned Neural ODEs with Guaranteed Safety and Stability for Learning-Based All-Pairs Motion Planning

    Apr 3, 2026Dechuan Liu, Ruigang Wang, Ian R. ManchesterNeural Ordinary Differential EquationsMotion Planning

    Australian Centre for Robotics (ACFR), and the School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney, Sydney, NSW 2006, Australia

  56. Safe learning-based control via function-based uncertainty quantification

    Apr 1, 2026Abdullah Tokmak, Toni Karvonen, Thomas B. Schön +1Control Barrier FunctionsUncertainty Quantification

    Cyber-physical Systems Group, Aalto University, Espoo, Finland · School of Engineering Sciences, Lappeenranta–Lahti University of Technology LUT, Lappeenranta, Finland · Department of Information Technology, Uppsala University, Uppsala, Sweden

  57. Efficient Neural Controlled Differential Equations via Attentive Kernel Smoothing

    Feb 2, 2026Egor Serov, Ilya Kuleshov, Alexey ZaytsevNeural Ordinary Differential EquationsLearning-Based Control

    Applied AI Institute · Risk AI Research Lab

  58. Projected Neural Differential Equations for Learning Constrained Dynamics

    Oct 31, 2024Alistair White, Anna Büttner, Maximilian Gelbrecht +4Neural Ordinary Differential EquationsInequality Constraints

    Munich Climate Center and Earth System Modelling Group, Department of Aerospace and Geodesy, School of Engineering and Design, Technical University of Munich, Munich, Germany · Potsdam Institute for Climate Impact Research, Potsdam, Germany · California Institute of Technology, Pasadena, California, USA +4

  59. Certified Robust Invariant Polytope Training in Neural Controlled ODEs

    Aug 2, 2024Akash Harapanahalli, Samuel CooganLearning-Based ControlLyapunov Function

    School of Electrical and Computer Engineering, Georgia Institute of Technology

  60. Nonparametric Control Koopman Operators

    May 12, 2024Petar Bevanda, Bas Driessen, Lucian Cristian Iacob +3Koopman OperatorReproducing Kernel Hilbert Spaces

    Chair of Information-oriented Control, TU München, Germany · Control Systems Group, TU/e, Eindhoven, The Netherlands · Systems and Control Laboratory, HUNREN Institute for Computer Science and Control, Budapest, Hungary +2