5 citations · 9 across the 18 of their papers we have counts for
7 papers · 1 filter
Feedback Dominance Analysis for Pursuit-Evasion Games on Graphs
Yue Guan, Daigo Shishika, Dipankar Maity +2
This work identifies the dominance regions for discrete, simultaneous-move pursuit-evasion games on graphs. Existing geometric approaches provide efficient characterizations of win…
PDO-Split: A Real-Time Solver for Constrained Potential-Dominant Games
Zhiyuan Zhang, Yue Guan, Panagiotis Tsiotras
We present Potential-Dominant Operator Splitting (PDO-Split), a real-time generalized Nash equilibrium solver for constrained dynamic multi-agent problems with potential-dominant s…
Offline Nash Solvers Meet Online Tree Search in Multi-Agent Games on Graphs
Mukesh Kumar, Yue Guan, Panagiotis Tsiotras
Computing Nash equilibrium policies in multi-agent Pursuit-Evasion games (PEG) is challenging due to the exponential growth of the joint state and action spaces with the number of…
Performance-Driven Environment Abstraction with Multi-Timescale Learning
Yue Guan, Dipankar Maity, Panagiotis Tsiotras
We study performance-driven environment abstraction for decision-making in large Markov decision processes. Rather than preserving geometric or topological structure, we seek abstr…
Linear Programming Approach to Deceptive Path Planning Game with Goal Selection
Violetta Rostobaya, Yue Guan, James Berneburg +1
In adversarial settings, a mobile agent may strategically plan its motion to influence an opponent's inference about its intended goal. We study deceptive path planning in a scenar…
Nonlinear Stochastic Density Steering via Gaussian Mixture Schrodinger Bridges and Multiple Linearizations
Mattia Mosso, George Rapakoulias, Yue Guan +1
The paper studies the optimal density steering problem for nonlinear continuous-time stochastic systems. To accurately capture nonlinear dynamics in high-uncertainty regions that d…
Robust Mean-Field Games with Risk Aversion and Bounded Rationality
Bhavini Jeloka, Yue Guan, Panagiotis Tsiotras
Recent advances in mean-field game literature enable the reduction of large-scale multi-agent problems to tractable interactions between a representative agent and a population dis…