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07/16/2023
MESOB: Balancing Equilibria Social Optimality
Motivated by bid recommendation in online ad auctions, this paper consid...
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05/04/2023
Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified Models
Laplacian regularized stratified models (LRSM) are models that utilize t...
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04/17/2023
MFGLib: A Library for Mean-Field Games
Mean-field games (MFGs) are limiting models to approximate N-player game...
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06/20/2022
MF-OMO: An Optimization Formulation of Mean-Field Games
Theory of mean-field games (MFGs) has recently experienced an exponentia...
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10/19/2021
Beyond Exact Gradients: Convergence of Stochastic Soft-Max Policy Gradient Methods with Entropy Regularization
Entropy regularization is an efficient technique for encouraging explora...
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10/19/2021
On the Global Convergence of Momentum-based Policy Gradient
Policy gradient (PG) methods are popular and efficient for large-scale r...
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09/13/2021
Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods
When designing algorithms for finite-time-horizon episodic reinforcement...
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10/22/2020
Sample Efficient Reinforcement Learning with REINFORCE
Policy gradient methods are among the most effective methods for large-s...
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03/13/2020
A General Framework for Learning Mean-Field Games
This paper presents a general mean-field game (GMFG) framework for simul...
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11/25/2018
Robust Super-Level Set Estimation using Gaussian Processes
This paper focuses on the problem of determining as large a region as po...
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10/06/2018