Cover Image

Online Bayesian Learning of Agent Behavior in Differential Games

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bianchin, Francesco, Lefringhausen, Robert, Hirche, Sandra
Format:	Preprint
Published:	2026
Subjects:	Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Set-Theoretic Robust Control Approach for Linear Quadratic Games with Unknown Counterparts
by: Bianchin, Francesco, et al.
Published: (2025)

Learning-Based Optimal Control with Performance Guarantees for Unknown Systems with Latent States
by: Lefringhausen, Robert, et al.
Published: (2023)

Barrier Certificates for Unknown Systems with Latent States and Polynomial Dynamics using Bayesian Inference
by: Lefringhausen, Robert, et al.
Published: (2025)

Temporal Variabilities Limit Convergence Rates in Gradient-Based Online Optimization
by: Van Scoy, Bryan, et al.
Published: (2025)

Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document
by: Yang, Zewen, et al.
Published: (2024)

Cooperative Online Learning for Multi-Agent System Control via Gaussian Processes with Event-Triggered Mechanism: Extended Version
by: Dai, Xiaobing, et al.
Published: (2023)

Decentralized Event-Triggered Online Learning for Safe Consensus of Multi-Agent Systems with Gaussian Process Regression
by: Dai, Xiaobing, et al.
Published: (2024)

Infinite-horizon optimal scheduling for feedback control
by: Wang, Siyi, et al.
Published: (2024)

A Robust Model Predictive Control Method for Networked Control Systems
by: Beger, Severin, et al.
Published: (2025)

Information-triggered Learning with Application to Learning-based Predictive Control
by: Zheng, Kaikai, et al.
Published: (2024)

Where to Put Safety? Control Barrier Function Placement in Networked Control Systems
by: Beger, Severin, et al.
Published: (2026)

Physically Consistent Modeling & Identification of Nonlinear Friction with Dissipative Gaussian Processes
by: Dai, Rui, et al.
Published: (2024)

Optimal Transmission Power Scheduling for Networked Control System under DoS Attack
by: Wang, Siyi, et al.
Published: (2024)

Learning Safe Control via On-the-Fly Bandit Exploration
by: Capone, Alexandre, et al.
Published: (2025)

Computation-Aware Learning for Stable Control with Gaussian Process
by: Cao, Wenhan, et al.
Published: (2024)

Analyzing the Impact of Computation in Adaptive Dynamic Programming for Stochastic LQR Problem
by: Cao, Wenhan, et al.
Published: (2024)

Safe Event-triggered Gaussian Process Learning for Barrier-Constrained Control
by: Lederer, Armin, et al.
Published: (2024)

Exponentially Stable Projector-based Control of Lagrangian Systems with Gaussian Processes
by: Evangelisti, Giulio, et al.
Published: (2024)

Learning Geometrically-Informed Lyapunov Functions with Deep Diffeomorphic RBF Networks
by: Tesfazgi, Samuel, et al.
Published: (2025)

Stable Inverse Reinforcement Learning: Policies from Control Lyapunov Landscapes
by: Tesfazgi, Samuel, et al.
Published: (2024)

Optimal Delay Compensation in Networked Predictive Control
by: Beger, Severin, et al.
Published: (2025)

k-Dimensional Agreement in Multiagent Systems
by: Bianchin, Gianluca, et al.
Published: (2022)

Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control
by: Lederer, Armin, et al.
Published: (2019)

Distributed Coverage Control of Constrained Constant-Speed Unicycle Multi-Agent Systems
by: Liu, Qingchen, et al.
Published: (2023)

Time-Robust Path Planning with Piece-Wise Linear Trajectory for Signal Temporal Logic Specifications
by: Le, Nhan-Khanh, et al.
Published: (2024)

Operator Models for Continuous-Time Offline Reinforcement Learning
by: Hoischen, Nicolas, et al.
Published: (2025)

Learning-based Parameterized Barrier Function for Safety-Critical Control of Unknown Systems
by: Zhang, Sihua, et al.
Published: (2024)

Distributed Differential Graphical Game for Control of Double-Integrator Multi-Agent Systems with Input Delay
by: Jond, Hossein B.
Published: (2023)

Data-Driven Stochastic Distribution System Hardening Based on Bayesian Online Learning
by: Shi, Wenlong, et al.
Published: (2025)

Learning-based Prescribed-Time Safety for Control of Unknown Systems with Control Barrier Functions
by: Huang, Tzu-Yuan, et al.
Published: (2024)

On the Existence of Quadratic Control Lyapunov Functions for Koopman-Operator based Bilinear Systems
by: Hanna, Sami Leon Noel Aziz, et al.
Published: (2026)

An Online Learning Approach for Two-Player Zero-Sum Linear Quadratic Games
by: Wang, Shanting, et al.
Published: (2026)

Feedback Nash Equilibria in Differential Games with Impulse Control
by: Sadana, Utsav, et al.
Published: (2021)

Data-Driven Stochastic Optimal Control in Reproducing Kernel Hilbert Spaces
by: Hoischen, Nicolas, et al.
Published: (2024)

Desensitization and Deception in Differential Games with Asymmetric Information
by: Comandur, Vinodhini, et al.
Published: (2023)

Inverse Linear-Quadratic Gaussian Differential Games
by: Günther, Lucas, et al.
Published: (2025)

Online Phase Estimation of Human Oscillatory Motions using Deep Learning
by: Grotta, Antonio, et al.
Published: (2025)

Cooperative Control of Hybrid FES-Exoskeleton: Dynamic Allocation
by: Kavianirad, Hossein, et al.
Published: (2025)

Markov Potential Game and Multi-Agent Reinforcement Learning for Autonomous Driving
by: Yan, Huiwen, et al.
Published: (2026)

Relationship Design for Socially-Aware Behavior in Static Games
by: Chen, Shenghui, et al.
Published: (2022)