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An α-Potential Game Framework for N-player Dynamic Games
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Backward Stochastic Differential Equations: From Linear to Fully Nonlinear Theory
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Stochastic Graphon Games: II. The Linear-Quadratic Case
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Propagation of Chaos of Forward–Backward Stochastic Differential Equations with Graphon Interactions
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Power-traffic network equilibrium incorporating behavioral theory: A potential game perspective
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Zero-sum stochastic differential games of generalized McKean–Vlasov type
inferredcites →https://doi.org/10.1016/j.spa.2023.02.004openalex-snapshot
Itô’s formula for flows of measures on semimartingales
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On a mean field game approach modeling congestion and aversion in pedestrian crowds
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Synchronization in a Kuramoto mean field game
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Multi-Agent Learning via Markov Potential Games in Marketplaces for Distributed Energy Resources
inferredcites →https://doi.org/10.1109/smartgrid.2010.5622091openalex-snapshot
Distributed Demand Management in Smart Grid with a Congestion Game
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Gradient Play in Stochastic Games: Stationary Points, Convergence, and Sample Complexity
inferredcites →https://doi.org/10.1109/tac.2025.3576379openalex-snapshot
Independent and Decentralized Learning in Markov Potential Games
inferredcites →https://doi.org/10.1109/thms.2022.3216789openalex-snapshot
Limited Information Shared Control: A Potential Game Approach
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Lectures on BSDEs, Stochastic Control, and Stochastic Differential Games with Financial Applications
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Open-Loop and Closed-Loop Solvabilities for Stochastic Linear Quadratic Optimal Control Problems
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Dynamic Programming for Optimal Control of Stochastic McKean--Vlasov Dynamics
inferredcites →https://doi.org/10.1137/17m1119196openalex-snapshot
Mean-Field Type Modeling of Nonlocal Crowd Aversion in Pedestrian Crowd Dynamics
inferredcites →https://doi.org/10.1137/23m1608951openalex-snapshot
Towards an Analytical Framework for Dynamic Potential Games
inferredcites →https://doi.org/10.1214/21-aop1548openalex-snapshot
McKean–Vlasov optimal control: The dynamic programming principle
inferredcites →https://doi.org/10.1214/22-aap1880openalex-snapshot
Optimal control of path-dependent McKean–Vlasov SDEs in infinite-dimension
inferredcites →https://doi.org/10.1287/educ.2013.0119openalex-snapshot
Correlation Decay Method for Decision, Optimization, and Inference in Large-Scale Networks
inferredcites →https://doi.org/10.1287/moor.1110.0500openalex-snapshot
Flows and Decompositions of Games: Harmonic and Potential Games
inferredcites →https://doi.org/10.1287/moor.2022.0055openalex-snapshot
Mean-Field Multiagent Reinforcement Learning: A Decentralized Network Approach
inferredcites →https://doi.org/10.1287/moor.2022.1329openalex-snapshot
A Label-State Formulation of Stochastic Graphon Games and Approximate Equilibria on Large Networks
inferredcites →https://doi.org/10.15607/rss.2021.xvii.084openalex-snapshot
Potential iLQR: A Potential-Minimizing Controller for Planning Multi-Agent Interactive Trajectories
inferredcites →https://doi.org/10.2139/ssrn.4516046openalex-snapshot
On the Upper Bound of Near Potential Differential Games
inferredcites →https://doi.org/10.23919/acc60939.2024.10644523openalex-snapshot
Distributed Multi-Agent Interaction Generation with Imagined Potential Games
inferredcites →https://doi.org/10.4310/cis.2021.v21.n3.a2openalex-snapshot
Linear quadratic graphon field games
inferredcites →https://doi.org/10.48550/arxiv.2106.01969openalex-snapshot
Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games
inferredcites →https://doi.org/10.48550/arxiv.2108.02731openalex-snapshot
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach
inferredcites →https://doi.org/10.48550/arxiv.2110.04184openalex-snapshot
When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently?
inferredcites →https://doi.org/10.48550/arxiv.2110.10614openalex-snapshot
Independent Natural Policy Gradient Always Converges in Markov Potential Games
inferredcites →https://doi.org/10.48550/arxiv.2202.04129openalex-snapshot
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence
inferredcites →https://doi.org/10.48550/arxiv.2407.18635openalex-snapshot
Mean-field control of non exchangeable systems
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Imagined Potential Games: A Framework for Simulating, Learning and Evaluating Interactive Behaviors
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