Saved in:
| Main Author: | Xia, Li |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.22335 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Policy Optimization and Multi-agent Reinforcement Learning for Mean-variance Team Stochastic Games
by: Hu, Junkai, et al.
Published: (2025)
by: Hu, Junkai, et al.
Published: (2025)
Decentralized Learning for Optimality in Stochastic Dynamic Teams and Games with Local Control and Global State Information
by: Yongacoglu, Bora, et al.
Published: (2019)
by: Yongacoglu, Bora, et al.
Published: (2019)
Games with Rational and Herding Players
by: Vyas, Raghupati, et al.
Published: (2026)
by: Vyas, Raghupati, et al.
Published: (2026)
$N$-Player Stochastic Differential Games with Regime Switching and Mean Field Convergence
by: Wang, Mingrui, et al.
Published: (2025)
by: Wang, Mingrui, et al.
Published: (2025)
Trust-Region Stochastic Optimization with Variance Reduction Technique
by: Zheng, Xinshou
Published: (2024)
by: Zheng, Xinshou
Published: (2024)
Two-Player Zero-Sum Hybrid Games
by: Leudo, Santiago J., et al.
Published: (2024)
by: Leudo, Santiago J., et al.
Published: (2024)
Markov Chains of Evolutionary Games with a Small Number of Players
by: Kehagias, Athanasios
Published: (2025)
by: Kehagias, Athanasios
Published: (2025)
Towards Weaker Variance Assumptions for Stochastic Optimization
by: Alacaoglu, Ahmet, et al.
Published: (2025)
by: Alacaoglu, Ahmet, et al.
Published: (2025)
Alternating Stochastic Variance-Reduced Algorithms with Optimal Complexity for Bilevel Optimization
by: Huo, Haimei, et al.
Published: (2024)
by: Huo, Haimei, et al.
Published: (2024)
Homogenization and Mean-Field Approximation for Multi-Player Games
by: Cont, Rama, et al.
Published: (2025)
by: Cont, Rama, et al.
Published: (2025)
Games with Incomplete Information Played by Risk-Revising Players
by: Liu, Shutian
Published: (2026)
by: Liu, Shutian
Published: (2026)
Decentralized Non-convex Stochastic Optimization with Heterogeneous Variance
by: Chen, Hongxu, et al.
Published: (2026)
by: Chen, Hongxu, et al.
Published: (2026)
Two-Player Dynamic Potential LQ Games with Sequentially Revealed Costs
by: Chen, Yitian, et al.
Published: (2025)
by: Chen, Yitian, et al.
Published: (2025)
On Two-Player Scalar Discrete-Time Linear Quadratic Games
by: Cavalagli, Chiara, et al.
Published: (2026)
by: Cavalagli, Chiara, et al.
Published: (2026)
Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction
by: Rodomanov, Anton, et al.
Published: (2024)
by: Rodomanov, Anton, et al.
Published: (2024)
Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions
by: Jiang, Wei, et al.
Published: (2024)
by: Jiang, Wei, et al.
Published: (2024)
Bessel Function Analysis of Nesterov's ODE in $N$-Player Quadratic Games
by: Paek, Jay
Published: (2026)
by: Paek, Jay
Published: (2026)
A Variance-Reduced Stochastic Gradient Tracking Algorithm for Decentralized Optimization with Orthogonality Constraints
by: Wang, Lei, et al.
Published: (2022)
by: Wang, Lei, et al.
Published: (2022)
The Impact of Social Value Orientation on Nash Equilibria of Two Player Quadratic Games
by: Calderone, Dan, et al.
Published: (2024)
by: Calderone, Dan, et al.
Published: (2024)
Mean-Variance Optimization and Algorithm for Finite-Horizon Markov Decision Processes
by: Xia, Li, et al.
Published: (2025)
by: Xia, Li, et al.
Published: (2025)
Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints
by: Ablin, Pierre, et al.
Published: (2023)
by: Ablin, Pierre, et al.
Published: (2023)
On the Stochastic (Variance-Reduced) Proximal Gradient Method for Regularized Expected Reward Optimization
by: Liang, Ling, et al.
Published: (2024)
by: Liang, Ling, et al.
Published: (2024)
Improved Rates for Stochastic Variance-Reduced Difference-of-Convex Algorithms
by: Nguyen, Anh Duc, et al.
Published: (2025)
by: Nguyen, Anh Duc, et al.
Published: (2025)
Prox-DBRO-VR: A Unified Analysis on Byzantine-Resilient Decentralized Stochastic Composite Optimization with Variance Reduction and Non-Asymptotic Convergence Rates
by: Hu, Jinhui, et al.
Published: (2023)
by: Hu, Jinhui, et al.
Published: (2023)
A Player Selection Network for Scalable Game-Theoretic Prediction and Planning
by: Qiu, Tianyu, et al.
Published: (2025)
by: Qiu, Tianyu, et al.
Published: (2025)
Gradient Estimation and Variance Reduction in Stochastic and Deterministic Models
by: Keane, Ronan
Published: (2024)
by: Keane, Ronan
Published: (2024)
Variance Reduction and Low Sample Complexity in Stochastic Optimization via Proximal Point Method
by: Liang, Jiaming
Published: (2024)
by: Liang, Jiaming
Published: (2024)
Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization
by: Jiang, Wei, et al.
Published: (2024)
by: Jiang, Wei, et al.
Published: (2024)
Policy Iteration for Two-Player General-Sum Stochastic Stackelberg Games
by: Kudo, Mikoto, et al.
Published: (2024)
by: Kudo, Mikoto, et al.
Published: (2024)
Stochastic Gradient Langevin Dynamics with Variance Reduction
by: Huang, Zhishen, et al.
Published: (2021)
by: Huang, Zhishen, et al.
Published: (2021)
Stochastic Optimization of Global Agrochemical Supply Chains with Risk Management: Modeling and Reformulation
by: Naraghi, Saba Ghasemi, et al.
Published: (2024)
by: Naraghi, Saba Ghasemi, et al.
Published: (2024)
Zero-sum Stochastic Differential Games of Impulse Control with Random Intervention Costs
by: Perninge, Magnus
Published: (2025)
by: Perninge, Magnus
Published: (2025)
Distributed Equilibria for $N$-Player Differential Games with Interaction through Controls: Existence, Uniqueness and Large $N$ Limit
by: Lam, Hei Jie, et al.
Published: (2026)
by: Lam, Hei Jie, et al.
Published: (2026)
Thompson Sampling Algorithm for Stochastic Games
by: Cohen, Asaf, et al.
Published: (2026)
by: Cohen, Asaf, et al.
Published: (2026)
Stochastic Optimization Algorithms for Problems with Controllable Biased Oracles
by: Liu, Yin, et al.
Published: (2023)
by: Liu, Yin, et al.
Published: (2023)
Linear-Quadratic Mean-Field Game for Stochastic Systems with Partial Observation
by: Li, Min, et al.
Published: (2024)
by: Li, Min, et al.
Published: (2024)
Stochastic Bregman Proximal Gradient Method Revisited: Kernel Conditioning and Painless Variance Reduction
by: Zhang, Junyu
Published: (2024)
by: Zhang, Junyu
Published: (2024)
Recent Developments in Machine Learning Methods for Stochastic Control and Games
by: Hu, Ruimeng, et al.
Published: (2023)
by: Hu, Ruimeng, et al.
Published: (2023)
Fare Game: A Mean Field Model of Stochastic Intensity Control in Dynamic Ticket Pricing
by: Aydin, Burak, et al.
Published: (2025)
by: Aydin, Burak, et al.
Published: (2025)
Variance-Aware Regret Bounds for Stochastic Contextual Dueling Bandits
by: Di, Qiwei, et al.
Published: (2023)
by: Di, Qiwei, et al.
Published: (2023)
Similar Items
-
Policy Optimization and Multi-agent Reinforcement Learning for Mean-variance Team Stochastic Games
by: Hu, Junkai, et al.
Published: (2025) -
Decentralized Learning for Optimality in Stochastic Dynamic Teams and Games with Local Control and Global State Information
by: Yongacoglu, Bora, et al.
Published: (2019) -
Games with Rational and Herding Players
by: Vyas, Raghupati, et al.
Published: (2026) -
$N$-Player Stochastic Differential Games with Regime Switching and Mean Field Convergence
by: Wang, Mingrui, et al.
Published: (2025) -
Trust-Region Stochastic Optimization with Variance Reduction Technique
by: Zheng, Xinshou
Published: (2024)