Learning to Play Trajectory Games Against Opponents with Unknown Objectives

24 November 2022

Papers citing "Learning to Play Trajectory Games Against Opponents with Unknown Objectives"

11 / 11 papers shown

Title
PSN Game: Game-theoretic Planning via a Player Selection Network Tianyu Qiu Eric Ouano Fernando Palafox Christian Ellis David Fridovich-Keil 59 0 0 30 Apr 2025
Non-Normalized Solutions of Generalized Nash Equilibrium in Autonomous Racing Mark Pustilnik Antonio Loquercio Francesco Borrelli 43 0 0 15 Mar 2025
Generalized Nash Equilibrium Solutions in Dynamic Games With Shared Constraints Mark Pustilnik Francesco Borrelli 68 1 0 26 Feb 2025
Think Deep and Fast: Learning Neural Nonlinear Opinion Dynamics from Inverse Dynamic Games for Split-Second Interactions Haimin Hu Jonathan A. DeCastro Deepak Gopinath Guy Rosman Naomi Ehrich Leonard J. F. Fisac 56 5 0 14 Jun 2024
A Sequential Quadratic Programming Approach to the Solution of Open-Loop Generalized Nash Equilibria for Autonomous Racing Edward L. Zhu Francesco Borrelli 29 20 0 29 Mar 2024
Blending Data-Driven Priors in Dynamic Games Justin Lidard Haimin Hu Asher Hancock Zixu Zhang Albert Gimó Contreras ... Deepak Gopinath Guy Rosman Naomi Ehrich Leonard María Santos J. F. Fisac OffRL 30 5 0 21 Feb 2024
Automated Lane Merging via Game Theory and Branch Model Predictive Control Luyao Zhang Shaohang Han S. Grammatico 11 3 0 25 Nov 2023
Inferring Occluded Agent Behavior in Dynamic Games from Noise Corrupted Observations Tianyu Qiu David Fridovich-Keil 19 3 0 17 Mar 2023
Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians B. Brito Michael Everett Jonathan P. How Javier Alonso-Mora 72 57 0 25 Feb 2021
The Computation of Approximate Generalized Feedback Nash Equilibria F. Laine David Fridovich-Keil Chih-Yuan Chiu Claire Tomlin 37 58 0 08 Jan 2021
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning Michael Everett Yu Fan Chen Jonathan P. How 133 507 0 04 May 2018