1 citations · 1 across the 4 of their papers we have counts for
5 papers
Approximate Feedback Nash Equilibria with Sparse Inter-Agent Dependencies
Xinjie Liu, Jingqi Li, Filippos Fotiadis +4
Feedback Nash equilibrium strategies in multi-agent dynamic games require availability of all players' state information to compute control actions. However, in real-world scenario…
Second-Order Algorithms for Finding Local Nash Equilibria in Zero-Sum Games
Kushagra Gupta, Xinjie Liu, Ross Allen +2
Zero-sum games arise in a wide variety of problems, including robust optimization and adversarial learning. However, algorithms deployed for finding a local Nash equilibrium in the…
Auto-Encoding Bayesian Inverse Games
Xinjie Liu, Lasse Peters, Javier Alonso-Mora +2
When multiple agents interact in a common environment, each agent's actions impact others' future decisions, and noncooperative dynamic games naturally capture this coupling. In in…
Learning to Play Trajectory Games Against Opponents with Unknown Objectives
Xinjie Liu, Lasse Peters, Javier Alonso-Mora
Many autonomous agents, such as intelligent vehicles, are inherently required to interact with one another. Game theory provides a natural mathematical tool for robot motion planni…
Safe Model Predictive Control Approach for Non-holonomic Mobile Robots
Xinjie Liu, Vassil Atanassov
We design an model predictive control (MPC) approach for planning and control of non-holonomic mobile robots. Linearizing the system dynamics around the pre-computed reference traj…