:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Nikseresht, Ali
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computer Science and Game Theory Signal Processing
Online Access:	https://arxiv.org/abs/2507.03411
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bayesian Optimization for Non-Cooperative Game-Based Radio Resource Management
by: Zhang, Yunchuan, et al.
Published: (2025)

Network Games Induced Prior for Graph Topology Learning
by: Zhang, Chenyue, et al.
Published: (2024)

Stackelberg Game-Driven Defense for ISAC Against Channel Attacks in Low-Altitude Networks
by: Wang, Jiacheng, et al.
Published: (2025)

A Game-Theoretic Approach for High-Resolution Automotive FMCW Radar Interference Avoidance
by: Pan, Yunian, et al.
Published: (2025)

Mitigating Pilot Contamination and Enabling IoT Scalability in Massive MIMO Systems
by: Saeed, Muhammad Kamran, et al.
Published: (2023)

Game Theory Meets Statistical Mechanics in Deep Learning Design
by: Bouchaffra, Djamel, et al.
Published: (2024)

Remote Estimation Games with Random Walk Processes: Stackelberg Equilibrium
by: Dokme, Atahan, et al.
Published: (2024)

Agent-Based Anti-Jamming Techniques for UAV Communications in Adversarial Environments: A Comprehensive Survey
by: Yang, Jingpu, et al.
Published: (2025)

Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals
by: Liu, Junyan, et al.
Published: (2025)

Multi-Fidelity Bayesian Optimization for Nash Equilibria with Black-Box Utilities
by: Zhang, Yunchuan, et al.
Published: (2025)

Attacking and Securing Community Detection: A Game-Theoretic Framework
by: Niu, Yifan, et al.
Published: (2025)

On-Demand Density-Aware UAV Base Station 3D Placement for Arbitrarily Distributed Users with Guaranteed Data Rates
by: Lai, Chuan-Chi, et al.
Published: (2019)

Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models
by: Aung, Aye Phyu Phyu, et al.
Published: (2024)

Blind Inverse Game Theory: Jointly Decoding Rewards and Rationality in Entropy-Regularized Competitive Games
by: Virk, Hamza, et al.
Published: (2025)

Energy Minimization for Participatory Federated Learning in IoT Analyzed via Game Theory
by: Buratto, Alessandro, et al.
Published: (2025)

Structural Limits of Soft Fusion in Multi-Warden Covert Communication
by: Arghavani, Abbas, et al.
Published: (2026)

Neural Mean-Field Games: Extending Mean-Field Game Theory with Neural Stochastic Differential Equations
by: Thöni, Anna C. M., et al.
Published: (2025)

Approximating Nash Equilibria in General-Sum Games via Meta-Learning
by: Sychrovský, David, et al.
Published: (2025)

Robust Adversarial Reinforcement Learning in Stochastic Games via Sequence Modeling
by: Tang, Xiaohang, et al.
Published: (2025)

Scale-Invariant Regret Matching and Online Learning with Optimal Convergence: Bridging Theory and Practice in Zero-Sum Games
by: Zhang, Brian Hu, et al.
Published: (2025)

pFedGame -- Decentralized Federated Learning using Game Theory in Dynamic Topology
by: Behera, Monik Raj, et al.
Published: (2024)

Pessimism-Free Offline Learning in General-Sum Games via KL Regularization
by: Chen, Claire, et al.
Published: (2026)

Learning in Structured Stackelberg Games
by: Balcan, Maria-Florina, et al.
Published: (2025)

Learning to Steer Learners in Games
by: Zhang, Yizhou, et al.
Published: (2025)

Corrupted Learning Dynamics in Games
by: Tsuchiya, Taira, et al.
Published: (2024)

On the Interplay of Privacy, Persuasion and Quantization
by: Anand, Anju, et al.
Published: (2025)

On the Convergence of Federated Learning Algorithms without Data Similarity
by: Beikmohammadi, Ali, et al.
Published: (2024)

Regulation Games for Trustworthy Machine Learning
by: Yaghini, Mohammad, et al.
Published: (2024)

Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources
by: Xu, Renzhe, et al.
Published: (2025)

Operator Splitting for Learning to Predict Equilibria in Convex Games
by: McKenzie, Daniel, et al.
Published: (2021)

Evolutionary Prediction Games
by: Saig, Eden, et al.
Published: (2025)

Bayesian Learning in Episodic Zero-Sum Games
by: Yueh, Chang-Wei, et al.
Published: (2026)

Adaptively Perturbed Mirror Descent for Learning in Games
by: Abe, Kenshi, et al.
Published: (2023)

Incentivized Learning in Principal-Agent Bandit Games
by: Scheid, Antoine, et al.
Published: (2024)

Game Theory for Adversarial Attacks and Defenses
by: Sharma, Shorya
Published: (2021)

Online Test Synthesis From Requirements: Enhancing Reinforcement Learning with Game Theory
by: Sankur, Ocan, et al.
Published: (2024)

Impact of Decentralized Learning on Player Utilities in Stackelberg Games
by: Donahue, Kate, et al.
Published: (2024)

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs
by: An, Zijian, et al.
Published: (2025)

Beyond Pessimism: Offline Learning in KL-regularized Games
by: Zhang, Yuheng, et al.
Published: (2026)

Learning in Bayesian Stackelberg Games With Unknown Follower's Types
by: Bollini, Matteo, et al.
Published: (2026)