Imagen de Portada

Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Shi, Chengshuai, Yang, Kun, Yang, Jing, Shen, Cong
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Computer Science and Game Theory Information Theory Multiagent Systems
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Independent Policy Mirror Descent for Markov Potential Games: Scaling to Large Number of Players
por: Alatur, Pragnya, et al.
Publicado: (2024)

Harnessing the Power of Federated Learning in Federated Contextual Bandits
por: Shi, Chengshuai, et al.
Publicado: (2023)

Policy Iteration for Two-Player General-Sum Stochastic Stackelberg Games
por: Kudo, Mikoto, et al.
Publicado: (2024)

Tractable Equilibrium Computation in Markov Games through Risk Aversion
por: Mazumdar, Eric, et al.
Publicado: (2024)

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

Performative Prediction on Games and Mechanism Design
por: Góis, António, et al.
Publicado: (2024)

Independent Learning in Constrained Markov Potential Games
por: Jordan, Philip, et al.
Publicado: (2024)

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

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

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

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

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

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

Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning
por: Wu, Zida, et al.
Publicado: (2024)

Smooth Information Gathering in Two-Player Noncooperative Games
por: Palafox, Fernando, et al.
Publicado: (2024)

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

Independent Learning of Nash Equilibria in Partially Observable Markov Potential Games with Decoupled Dynamics
por: Jordan, Philip, et al.
Publicado: (2026)

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

Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach
por: Etesami, S. Rasoul, et al.
Publicado: (2024)

Provably Convergent Actor-Critic for MARL through Risk-aversion
por: Zhang, Yizhou, et al.
Publicado: (2026)

Identifying and Clustering Counter Relationships of Team Compositions in PvP Games for Efficient Balance Analysis
por: Lin, Chiu-Chou, et al.
Publicado: (2024)

Data-Augmented Game Starts for Accelerating Self-Play Exploration in Imperfect Information Games
por: Lanier, JB, et al.
Publicado: (2026)

RuleSmith: Multi-Agent LLMs for Automated Game Balancing
por: Zeng, Ziyao, et al.
Publicado: (2026)

Aggregate Fictitious Play for Learning in Anonymous Polymatrix Games (Extended Version)
por: Kara, Semih, et al.
Publicado: (2025)

Choose Your Battles: Distributed Learning Over Multiple Tug of War Games
por: Chandak, Siddharth, et al.
Publicado: (2025)

Auto-Encoding Bayesian Inverse Games
por: Liu, Xinjie, et al.
Publicado: (2024)

Evaluating LLMs in Open-Source Games
por: Sistla, Swadesh, et al.
Publicado: (2025)

Competition and Cooperation of LLM Agents in Games
por: Yao, Jiayi, et al.
Publicado: (2026)

A Game-Theoretic Framework for Distributed Load Balancing: Static and Dynamic Game Models
por: Fardno, Fatemeh, et al.
Publicado: (2025)

Observation Interference in Partially Observable Assistance Games
por: Emmons, Scott, et al.
Publicado: (2024)

Offline Fictitious Self-Play for Competitive Games
por: Chen, Jingxiao, et al.
Publicado: (2024)

Solving Zero-Sum Convex Markov Games
por: Kalogiannis, Fivos, et al.
Publicado: (2025)

Aspiration-based Perturbed Learning Automata in Games with Noisy Utility Measurements. Part A: Stochastic Stability in Non-zero-Sum Games
por: Chasparis, Georgios C.
Publicado: (2025)

Bounded Rationality Equilibrium Learning in Mean Field Games
por: Eich, Yannick, et al.
Publicado: (2024)

Learning Optimal Tax Design in Nonatomic Congestion Games
por: Cui, Qiwen, et al.
Publicado: (2024)

Modelling the Dynamics of Identity and Fairness in Ultimatum Game
por: Chhabra, Janvi, et al.
Publicado: (2024)

A Game of Pawns
por: Avni, Guy, et al.
Publicado: (2023)

Control in Hedonic Games
por: Chen, Jiehua, et al.
Publicado: (2026)

Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning
por: Li, Zun, et al.
Publicado: (2023)

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