hamilton-jacobi-bellman equation

A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems ICML 2025 Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance ICML 2025 Data-Driven Near-Optimal Control of Nonlinear Systems Over Finite Horizon L4DC 2025 Sampling in High-Dimensions using Stochastic Interpolants and Forward-Backward Stochastic Differential Equations AISTATS 2025 StableAnimator: High-Quality Identity-Preserving Human Image Animation CVPR 2025 Enhancing Value Function Estimation through First-Order State-Action Dynamics in Offline Reinforcement Learning ICML 2024 Continuous-in-time Limit for Bayesian Bandits JMLR 2023 Reachability Analysis-based Safety-Critical Control using Online Fixed-Time Reinforcement Learning L4DC 2023 Is L^2 Physics Informed Loss Always Suitable for Training Physics Informed Neural Network? NeurIPS 2022 Reinforcement Learning with Non-Exponential Discounting NeurIPS 2022 Feynman-Kac Neural Network Architectures for Stochastic Control Using Second-Order FBSDE Theory L4DC 2020 Hamilton-Jacobi-Bellman Equations for Q-Learning in Continuous Time L4DC 2020 HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints CoRL 2019