Optimal Control

Momentum

5 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

Jul 13Week of Sep 28

Latest papers 74

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  1. Learning Goal-Reaching Quasimetric Geometry From Finite-Time Reachability

    Sep 30, 2026Daisuke Yamada, Travis Pence, Vikas SinghGoal-Conditioned Reinforcement LearningReachability

  2. Target-Language Generation in Multilingual Models: Activation Steering and Optimal Control

    Sep 15, 2026James A. Michaelov, Carmen Amo Alonso, Tyler A. Chang +1Multilingual Language ModelsMotion-Language Alignment

  3. Fed-Equilibrium Framework for Topological Pareto Control in Robust and Fair Clinical Federated Learning

    Sep 14, 2026Ting Xu, Henry LeungFederated LearningEquilibrium

  4. Privacy Preserving Gossip Learning

    Sep 13, 2026Erkan Bayram, Mohamed-Ali Belabbas, Tamer BaşarGossipDecentralized Learning

  5. Distribution Steering via Sliced Optimal Transport Control

    Aug 13, 2026Kaito Ito, Anqi DongOptimal Transport ApproachOptimal Control

  6. A Mean-Field Framework for Inference-Time Distributional Control of Diffusion Models

    Aug 9, 2026Samuel Howard, Nikolas NüskenDiffusion SamplingInference-Time Steering

  7. Knowledge-Distilled End-to-End Reinforcement Learning for Smooth 6-DOF Thrust Control and Rapid Adaptation to Ocean Currents in Remotely Operated Vehicles

    Aug 9, 2026Tiankuang Wen, Huiping Li, Gang Liu +1Reinforcement Learning ControlBidirectional Thrust

  8. Generalization Bounds on Optimal Control for Transformer Training and Wasserstein Distributional Robustness

    Jul 30, 2026Kağan Akman, Naci Saldi, Serdar YükselDistributionally-Robust OptimizationGeneralization Bounds

  9. Self-Adaptive Learning and Model Predictive Control for Tracking Unknown Dynamics with No Regret

    Jul 29, 2026Atharva Navsalkar, Hongyu Zhou, Vasileios TzoumasModel Predictive ControlOptimal Control

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

    Jul 27, 2026Stefan Richter, Alberto Giammarino, Guillem Torrente +2Optimal ControlReinforcement Learning Control

  11. Real-time optimal control with shallow recurrent decoder networks

    Jul 21, 2026Matteo Tomasetto, Francesco Braghin, J. Nathan Kutz +1Reduced-Order ModelsOptimal Control

  12. Integrity-Gated Eco-CACC: Epistemic Admissibility for Cooperative Driving at Signalized Intersections

    Jul 20, 2026Lyes Saad Saoud, Moussa AyyashTraffic Signal ControlOptimal Control

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

    Jul 17, 2026Matteo Tomasetto, Nicolò Botteghi, Gabriele Bruni +1Reinforcement Learning ControlOffline Reinforcement Learning

  14. Steering Robustness into World Action Models via Mechanistic Interpretability and Optimal Control

    Jul 16, 2026Jihoon Hong, Julian Skifstad, Qiyue Dai +2World ModelsSteering

  15. Information-Theoretic Adaptive Cooling for Deterministic MPPI via Entropy Feedback

    Jul 15, 2026Shuqi Wang, Wenrong Sun, Tao Han +2Model Predictive Path IntegralOptimal Control

  16. Control Laguerre Tessellation: Semi-discrete Optimal Transport Over Control Systems

    Jul 10, 2026Ripon C. Sarker, Abhishek HalderOptimal ControlRobust Control

  17. An optimal control approach for neural network architecture adaptation with a posteriori error estimation

    Jul 8, 2026C G Krishnanunni, Thomas Scott, Tan Bui-ThanhNeural ApproximationsNeural Network Optimization

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

    Jul 6, 2026Omar Al-Refai, Ibrahim Shahbaz, Adam Ali Husseinat +1Optimal ControlMulti-Agent Reinforcement Learning

  19. Optimality-Informed Neural Networks for Lunar Landing Trajectory Optimization

    Jul 2, 2026Zhenbo WangIntent-Aligned Autonomous Spacecraft GuidanceOptimal Control

  20. Histogram-constrained Image Generation

    Jun 30, 2026Haoming Liu, Yuanhe Guo, Yijia Cao +2Multi-Reference Image GenerationGenerative Models

  21. Entropy Regularized Reinforcement Learning for Zero-Sum Stochastic Differential Games in a Regime-Switching Jump-Diffusion Process

    Jun 27, 2026Congde Hu, Zhuo Jin, Danping Li +1Observable Stochastic GameEntropy Regularized Reinforcement Learning

  22. Adaptive Utility driven Resource Orchestration for Resilient AI (AURORA-AI)

    Jun 25, 2026Rahul Umesh Mhapsekar, Ilias Cherkaoui, Lizy Abraham +1Artificial Intelligence DeploymentOrchestration

  23. Parallel Dynamic Programming for Conic Linear Quadratic Control

    Jun 23, 2026Luyao Zhang, Gabriel Bravo-Palacios, Brian Plancher +1Linear Quadratic RegulatorOptimal Control

  24. Hessian-augmented Supervised Learning for Hamilton-Jacobi-Bellman PDEs

    Jun 22, 2026Matías Gómez-Aedo, Behzad Azmi, Yuyang Huang +2Optimal ControlHamilton-Jacobi Reachability

  25. A Relaxed Quadratic-Program-based Framework for Trajectory Tracking of Unicycle Robots with Singularity Avoidance

    Jun 22, 2026Hamza Tariq, Usman Ali, Adeel AkhtarRobust TrajectoryQuadratic Programs

  26. Horizon-Uniform Sensitivity Certificates for Finite-Horizon Pontryagin Systems

    Jun 16, 2026Pyuyi Chufeng Huang, Zikang Song, Xingshu ChenLyapunov FunctionOptimal Control

  27. Elastic ODYN: Differentiable Optimization for Infeasible Control and Learning in Robotics

    Jun 15, 2026Aristotelis Papatheodorou, Jose Rojas, Ioannis Havoutis +1Quadratic ProgramsOptimal Control

  28. 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

  29. An integrated interpretable control effectiveness learning and nonlinear control allocation methodology for overactuated aircrafts

    Jun 11, 2026Umut Demir, Aamir Ahmad, Walter FichterNonlinear DynamicsOptimal Control

  30. 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

  31. Deterministic Policy Gradient for Learning Equilibrium in Time-Inconsistent Control Problems

    Jun 10, 2026Xin Guo, Yijie Huang, Xiang YuOptimal ControlPortfolio Optimization

  32. Gradient based Bilevel for Inverse Optimal Control, a Riemannian approach

    Jun 9, 2026Ahmed-Manaf Dahmani, Vincent Bonnet, David Daney +1Optimal ControlShape Optimization

  33. Families of Control-Cost-Parametrized Inverse-Optimal Universal Stabilizers

    Jun 8, 2026Miroslav Krstic, Luke BhanOptimal ControlLyapunov Function

  34. Activation Steering of Video Generation Models via Reduced-Order Linear Optimal Control

    Jun 3, 2026Jihoon Hong, Alice Chan, Qiyue Dai +2Linear Activation SteeringVideo Generation

  35. Global Convergence of a Line-Search Filter Differential Dynamic Programming Method

    May 31, 2026Ming Xu, Iman ShamesOptimal ControlInequality Constraints

  36. Time-Optimal Collision Avoidance Via a Greedy Polynomial Backward Sweep

    May 31, 2026Zeno Pavanello, Frank De Veld, Roberto ArmellinCollision AvoidanceIntent-Aligned Autonomous Spacecraft Guidance

  37. OptiWorld: Optimal Control for Video World Generation under Physical Constraints

    May 30, 2026Yu Yuan, Jianhao Yuan, Xijun Wang +4Playable Video World GenerationVideo Generation

  38. Trajectory Planning for Non-Communicating Mobile Robots using Inverse Optimal Control

    May 29, 2026Nina Majer, Yannick Epple, Xin Ye +2Collision AvoidanceMobile Robots

  39. WINDQuant: Weight-Informed Neural Decision-Making for Global Mixed-Precision LLM Quantization

    May 26, 2026Phong Nam Huu Nguyen, Khoi M. Le, Cong-Duy T Nguyen +3Large Language Model QuantizationCredit Assignment

  40. Real-Time Auto-Optimization in Unknown Environments via Structure-Exploiting Dual Control for Exploration and Exploitation

    May 21, 2026Shiying Dong, Haoyang Yang, Qiwei Liu +1Optimal ControlOptimization Modeling

  41. Noise Schedule Design for Diffusion Models: An Optimal Control Perspective

    May 21, 2026Seo Taek Kong, Weina Wang, R. SrikantDiffusion ModelsOptimal Control

  42. Take It or Leave It: Intent-Controlled Partial Optimal Transport

    May 19, 2026Salil Parth Tripathi, Bertrand Chapron, Fabrice Collard +2RejectionOptimal Control

  43. Transformer-like Inference from Optimal Control

    May 15, 2026Aditya Kudre, Heng-Sheng Chang, Prashant G. MehtaTransformer EncoderTransformer Architectures

  44. Universal Approximation of Nonlinear Operators and Their Derivatives

    May 14, 2026Filippo de FeoNonlinear OperatorsNeural Approximations

  45. Language Generation as Optimal Control: Closed-Loop Diffusion in Latent Control Space

    May 14, 2026ZiYi Dong, Yuliang Huang, Weijian Deng +3Diffusion Language ModelsStochastic Optimal Control

  46. Motion Planning for Autonomous Vehicles using Optimization over Graphs of Convex Sets

    May 13, 2026Matheus Wagner, Antônio Augusto FröhlichMotion PlanningVehicle Dynamics

  47. SHIELD: Scalable Optimal Control with Certification using Duality and Convexity

    May 9, 2026Hansung Kim, Siddharth H. Nair, Francesco BorrelliModel Predictive ControlOptimal Control

  48. Dynamic Controlled Variables Based Dynamic Self-Optimizing Control

    May 7, 2026Chenchen Zhou, Shaoqi Wang, Hongxin Su +3Optimal ControlPrompt Optimization

  49. TabCF: Distributional Control Function Estimation with Tabular Foundation Models

    May 7, 2026Geping Chen, Chunlin Li, Tianzhong Yang +2Causal InferencesTabular Foundation Models

  50. Stabilizing LLM Supervised Fine-Tuning via Explicit Distributional Control

    May 6, 2026Xinyu Wang, Changzhi Sun, Yuanbin Wu +1Model Fine-TuningSparse Spatial Anchors

  51. Layerwise LQR for Geometry-Aware Optimization of Deep Networks

    May 5, 2026Simon Dufort-Labbé, Pierre-Luc Bacon, Razvan Pascanu +2Spectral PreconditioningNeural Network Optimization

  52. Adaptive Estimation and Optimal Control in Offline Contextual MDPs without Stationarity

    May 5, 2026Riddhiman Bhattacharyya, Sayak Chakrabarty, Imon BanerjeeMarkov Decision ProcessesOptimal Control

  53. Optimized and kinematically feasible multi-agent motion planning

    May 3, 2026Anja Hellander, Kristoffer Bergman, Daniel AxehillMotion PlanningRobot Planning