Learning Nash Equilibrial Hamiltonian for Two-Player Collision-Avoiding Interactions

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Learning Nash Equilibrial Hamiltonian for Two-Player Collision-Avoiding Interactions

American Control Conference (ACC), 2025

10 March 2025

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Papers citing "Learning Nash Equilibrial Hamiltonian for Two-Player Collision-Avoiding Interactions"

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Title
Value Approximation for Two-Player General-Sum Differential Games with State ConstraintsIEEE Transactions on robotics (TRO), 2023 Lei Zhang Mukesh Ghimire Wenlong Zhang Zhenni Xu Yi Ren 247 5 0 28 Nov 2023
Data-driven initialization of deep learning solvers for Hamilton-Jacobi-Bellman PDEsIFAC-PapersOnLine (IFAC-PapersOnLine), 2022 Anastasia Borovykh D. Kalise Alexis Laignelet P. Parpas 139 8 0 19 Jul 2022
Approximating Discontinuous Nash Equilibrial Values of Two-Player General-Sum Differential GamesIEEE International Conference on Robotics and Automation (ICRA), 2022 Lei Zhang Mukesh Ghimire Wenlong Zhang Zhenni Xu Yi Ren 215 7 0 05 Jul 2022
Modern Koopman Theory for Dynamical SystemsSIAM Review (SIAM Rev.), 2021 Steven L. Brunton M. Budišić E. Kaiser J. Nathan Kutz AI4CE 255 544 0 24 Feb 2021
On Infusing Reachability-Based Safety Assurance within Planning Frameworks for Human-Robot Vehicle Interactions Karen Leung Edward Schmerling Mengxuan Zhang Mo Chen J. Talbot Chris Gerdes Marco Pavone LLMSV 208 103 0 06 Dec 2020
DeepReach: A Deep Learning Approach to High-Dimensional Reachability Somil Bansal Claire Tomlin 255 197 0 04 Nov 2020
When Shall I Be Empathetic? The Utility of Empathetic Parameter Estimation in Multi-Agent Interactions Yi Chen Lei Zhang Tanner Merry Sunny Amatya Wenlong Zhang Yi Ren 199 10 0 03 Nov 2020
A Survey of Deep Active LearningACM Computing Surveys (ACM CSUR), 2020 Pengzhen Ren Yun Xiao Xiaojun Chang Po-Yao (Bernie) Huang Zhihui Li Brij B. Gupta Xiaojiang Chen Xin Wang 360 1,321 0 30 Aug 2020
Combining Deep Reinforcement Learning and Search for Imperfect-Information GamesNeural Information Processing Systems (NeurIPS), 2020 Noam Brown A. Bakhtin Adam Lerer Qucheng Gong 293 157 0 27 Jul 2020
Self-Supervised Learning of Pretext-Invariant RepresentationsComputer Vision and Pattern Recognition (CVPR), 2019 Ishan Misra Laurens van der Maaten SSL VLM 278 1,553 0 04 Dec 2019
Symplectic ODE-Net: Learning Hamiltonian Dynamics with ControlInternational Conference on Learning Representations (ICLR), 2019 Yaofeng Desmond Zhong Biswadip Dey Amit Chakraborty PINN 514 295 0 26 Sep 2019
Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential GamesIEEE International Conference on Robotics and Automation (ICRA), 2019 David Fridovich-Keil Ellis Ratner Lasse Peters Anca Dragan Claire Tomlin 295 185 0 10 Sep 2019
Adaptive Deep Learning for High-Dimensional Hamilton-Jacobi-Bellman EquationsSIAM Journal on Scientific Computing (SISC), 2019 Tenavi Nakamura-Zimmerer Q. Gong W. Kang 288 154 0 11 Jul 2019
Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey Longlong Jing Yingli Tian SSL 392 1,891 0 16 Feb 2019
Deep Counterfactual Regret Minimization Noam Brown Adam Lerer Sam Gross Tuomas Sandholm 531 231 0 01 Nov 2018