5 citations · 9 across the 18 of their papers we have counts for
20 papers
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…
Strategic Concealment of Environment Representations in Competitive Games
Yue Guan, Dipankar Maity, Panagiotis Tsiotras
This paper investigates the strategic concealment of environment representations used by players in competitive games. We consider a defense scenario in which one player (the Defen…
Deceptive Path Planning: A Bayesian Game Approach
Violetta Rostobaya, James Berneburg, Yue Guan +2
This paper investigates how an autonomous agent can transmit information through its motion in an adversarial setting. We consider scenarios where an agent must reach its goal whil…
Learning Large-Scale Competitive Team Behaviors with Mean-Field Interactions
Bhavini Jeloka, Yue Guan, Panagiotis Tsiotras
While multi-agent reinforcement learning (MARL) has been proven effective across both collaborative and competitive tasks, existing algorithms often struggle to scale to large popu…
The Eater and the Mover Game
Violetta Rostobaya, Yue Guan, James Berneburg +2
This paper studies the idea of ``deception by motion'' through a two-player dynamic game played between a Mover who must retrieve resources at a goal location, and an Eater who can…
Dynamic Adversarial Resource Allocation: the dDAB Game
Yue Guan, Daigo Shishika, Jason R. Marden +3
This work introduces the dynamic Defender-Attacker Blotto (dDAB) game, extending the classical static Blotto game to a dynamic resource allocation setting over graphs. In the dDAB…
Zero-Sum Games between Large-Population Teams: Reachability-based Analysis under Mean-Field Sharing
Yue Guan, Mohammad Afshari, Panagiotis Tsiotras
This work studies the behaviors of two large-population teams competing in a discrete environment. The team-level interactions are modeled as a zero-sum game while the agent dynami…
Jump Law of Co-State in Optimal Control for State-Dependent Switched Systems and Applications
Mi Zhou, Erik I. Verriest, Yue Guan +1
This paper presents the jump law of co-states in optimal control for state-dependent switched systems. The number of switches and the switching modes are assumed to be known a prio…
On the Adversarial Convex Body Chasing Problem
Yue Guan, Longxu Pan, Daigo Shishika +1
In this work, we extend the convex bodies chasing problem (CBC) to an adversarial setting, where an agent (the Player) is tasked with chasing a sequence of convex bodies generated…
Hierarchical Decompositions of Stochastic Pursuit-Evasion Games
Yue Guan, Mohammad Afshari, Qifan Zhang +1
In this work we present a hierarchical framework for solving discrete stochastic pursuit-evasion games (PEGs) in large grid worlds. With a partition of the grid world into supersta…
Dynamic Defender-Attacker Blotto Game
Daigo Shishika, Yue Guan, Michael Dorothy +1
This work studies a dynamic, adversarial resource allocation problem in environments modeled as graphs. A blue team of defender robots are deployed in the environment to protect th…
Shaping Large Population Agent Behaviors Through Entropy-Regularized Mean-Field Games
Yue Guan, Mi Zhou, Ali Pakniyat +1
Mean-field games (MFG) were introduced to efficiently analyze approximate Nash equilibria in large population settings. In this work, we consider entropy-regularized mean-field gam…
Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation
Yue Guan, Qifan Zhang, Panagiotis Tsiotras
We explore the use of policy approximations to reduce the computational cost of learning Nash equilibria in zero-sum stochastic games. We propose a new Q-learning type algorithm th…
Bounded-Rational Pursuit-Evasion Games
Yue Guan, Dipankar Maity, Christopher M. Kroninger +1
We present a framework that incorporates the idea of bounded rationality into dynamic stochastic pursuit-evasion games. The solution of a stochastic game is characterized, in gener…