Cover Image

Hamiltonian of polymatrix zero-sum games

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ota, Toshihiro, Fujimoto, Yuma
Format:	Preprint
Published:	2025
Subjects:	Computer Science and Game Theory Machine Learning Multiagent Systems Chaotic Dynamics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games
by: Fujimoto, Yuma, et al.
Published: (2023)

Nash Equilibrium and Learning Dynamics in Three-Player Matching $m$-Action Games
by: Fujimoto, Yuma, et al.
Published: (2024)

Synchronization in Learning in Periodic Zero-Sum Games Triggers Divergence from Nash Equilibrium
by: Fujimoto, Yuma, et al.
Published: (2024)

Global Behavior of Learning Dynamics in Zero-Sum Games with Memory Asymmetry
by: Fujimoto, Yuma, et al.
Published: (2024)

Media and responsible AI governance: a game-theoretic and LLM analysis
by: Balabanova, Nataliya, et al.
Published: (2025)

Time-Varyingness in Auction Breaks Revenue Equivalence
by: Fujimoto, Yuma, et al.
Published: (2024)

Learning from Delayed Feedback in Games via Extra Prediction
by: Fujimoto, Yuma, et al.
Published: (2025)

Linear Convergence in Games with Delayed Feedback via Extra Prediction
by: Fujimoto, Yuma, et al.
Published: (2026)

Offline congestion games: How feedback type affects data coverage requirement
by: Jiang, Haozhe, et al.
Published: (2022)

Chaos and noise in evolutionary game dynamics
by: Ramirez, Maria Alejandra, et al.
Published: (2025)

Understanding LLM Agent Behaviours via Game Theory: Strategy Recognition, Biases and Multi-Agent Dynamics
by: Huynh, Trung-Kiet, et al.
Published: (2025)

Decentralized multi-agent reinforcement learning algorithm using a cluster-synchronized laser network
by: Kotoku, Shun, et al.
Published: (2024)

Delayed Repression and Emergent Instability in Adaptive Multi-Agent Systems
by: Itkin, Igor
Published: (2026)

Altruism and Fair Objective in Mixed-Motive Markov games
by: Xu, Yao-hua Franck, et al.
Published: (2026)

Do LLMs trust AI regulation? Emerging behaviour of game-theoretic LLM agents
by: Buscemi, Alessio, et al.
Published: (2025)

A potentialization algorithm for games with applications to multi-agent learning in repeated games
by: Lakheshar, Philipp, et al.
Published: (2026)

Properties of zero-determinant strategies in multichannel games
by: Ueda, Masahiko
Published: (2025)

Experience-replay Innovative Dynamics
by: Zhang, Tuo, et al.
Published: (2025)

Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc Teamwork
by: Wang, Jianhong, et al.
Published: (2025)

Fair Contracts in Principal-Agent Games with Heterogeneous Types
by: Tłuczek, Jakub, et al.
Published: (2025)

Conservative classifiers do consistently well with improving agents: characterizing statistical and online learning
by: Sharma, Dravyansh, et al.
Published: (2025)

Competitive Algorithms for Multi-Agent Ski-Rental Problems
by: Wang, Xuchuang, et al.
Published: (2025)

Scalable Neural Incentive Design with Parameterized Mean-Field Approximation
by: Corecco, Nathan, et al.
Published: (2025)

Nash Equilibria in Games with Playerwise Concave Coupling Constraints: Existence and Computation
by: Jordan, Philip, et al.
Published: (2025)

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

How Market Volatility Shapes Algorithmic Collusion: A Comparative Analysis of Learning-Based Pricing Algorithms
by: Sravon, Aheer, et al.
Published: (2025)

Grouped Satisficing Paths in Pure Strategy Games: a Topological Perspective
by: Fu, Yanqing, et al.
Published: (2025)

Multi-Agent Reinforcement Learning in Cybersecurity: From Fundamentals to Applications
by: Landolt, Christoph R., et al.
Published: (2025)

Incentivize Contribution and Learn Parameters Too: Federated Learning with Strategic Data Owners
by: Doshi, Drashthi, et al.
Published: (2025)

On the Power of Perturbation under Sampling in Solving Extensive-Form Games
by: Masaka, Wataru, et al.
Published: (2025)

Survey on Strategic Mining in Blockchain: A Reinforcement Learning Approach
by: Li, Jichen, et al.
Published: (2025)

Fast and the Furious: Hot Starts in Pursuit-Evasion Games
by: Smithline, Gabriel, et al.
Published: (2025)

Partially Observable Multi-Agent Reinforcement Learning with Information Sharing
by: Liu, Xiangyu, et al.
Published: (2023)

Unsynchronized Decentralized Q-Learning: Two Timescale Analysis By Persistence
by: Yongacoglu, Bora, et al.
Published: (2023)

Maximizing utility in multi-agent environments by anticipating the behavior of other learners
by: Assos, Angelos, et al.
Published: (2024)

Convex Markov Games and Beyond: New Proof of Existence, Characterization and Learning Algorithms for Nash Equilibria
by: Barakat, Anas, et al.
Published: (2026)

Strategically Robust Multi-Agent Reinforcement Learning with Linear Function Approximation
by: Gonzales, Jake, et al.
Published: (2026)

No-Regret Learning for Fair Multi-Agent Social Welfare Optimization
by: Zhang, Mengxiao, et al.
Published: (2024)

Efficient and Scalable Deep Reinforcement Learning for Mean Field Control Games
by: Peng, Nianli, et al.
Published: (2024)

Stochastic Principal-Agent Problems: Efficient Computation and Learning
by: Gan, Jiarui, et al.
Published: (2023)