Výsledky vyhledávání - "Computer Science - Computer Science and Game Theory"

A deep learning method for optimal investment under relative performance criteria among heterogeneous agents

Autoři: Laurière, Mathieu Tangpi, Ludovic Zhou, Xuchen

Zdroj: European Journal of Operational Research. 326:615-629

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computer Science and Game Theory, Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Optimization and Control, Computer Science and Game Theory (cs.GT), Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2402.07365

Condorcet-consistent choice among three candidates

Autoři: Felix Brandt Chris Dong Dominik Peters

Zdroj: Games and Economic Behavior. 153:113-130

Témata: FOS: Economics and business, FOS: Computer and information sciences, Computer Science - Computer Science and Game Theory, Economics - Theoretical Economics, Theoretical Economics (econ.TH), Computer Science and Game Theory (cs.GT)

Přístupová URL adresa: http://arxiv.org/abs/2411.19857

The Pseudo-Dimension of Contracts

Autoři: Paul Dütting Michal Feldman Tomasz Ponitka a další

Zdroj: EC '25: Proceedings of the 26th ACM Conference on Economics and Computation

Témata: Moral Hazard, FOS: Computer and information sciences, Computer Science - Machine Learning, Contract Design, Sample Complexity, Computer Science - Artificial Intelligence, Machine Learning (cs.LG), FOS: Economics and business, Artificial Intelligence (cs.AI), Computer Science - Computer Science and Game Theory, Economics - Theoretical Economics, Theoretical Economics (econ.TH), Computer Science and Game Theory (cs.GT)

Popis souboru: application/application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2501.14474
http://hdl.handle.net/20.500.11850/749274

Economic Censorship Games in Fraud Proofs

Autoři: Ben Berger Edward W. Felten Akaki Mamageishvili a další

Zdroj: EC '25: Proceedings of the 26th ACM Conference on Economics and Computation

Témata: FOS: Computer and information sciences, Computer Science - Computer Science and Game Theory, Fraud Proofs, Optimistic Rollups, Computer Science and Game Theory (cs.GT)

Popis souboru: application/application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2502.20334
http://hdl.handle.net/20.500.11850/749272

Optimistic and pessimistic approaches for cooperative games

Autoři: Ata Atay Christian Trudeau

Zdroj: European Journal of Operational Research. 328:725-733

Témata: 90B10, 90B30, 90B35, 91A12, 91B32, Computer Science - Computer Science and Game Theory, Economics - Theoretical Economics

Přístupová URL adresa: http://arxiv.org/abs/2403.01442

Sound Value Iteration for Simple Stochastic Games

Autoři: Azeem, Muqsit Kretinsky, Jan Weininger, Maximilian

Zdroj: Electronic Proceedings in Theoretical Computer Science. 428:29-44

Témata: Computer Science and Game Theory, FOS: Computer and information sciences, Computer Science - Logic in Computer Science, Computer Science - Computer Science and Game Theory, FOS: Electrical engineering, electronic engineering, information engineering, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, Multiagent Systems, Logic in Computer Science (cs.LO), Computer Science and Game Theory (cs.GT), Multiagent Systems (cs.MA)

Přístupová URL adresa: http://arxiv.org/abs/2509.14112
http://arxiv.org/abs/2411.11549

Query-Efficient Algorithm to Find all Nash Equilibria in a Two-Player Zero-Sum Matrix Game

Autoři: Arnab Maiti Ross Boczar Kevin Jamieson a další

Zdroj: ACM Transactions on Economics and Computation. 13:1-18

Témata: FOS: Computer and information sciences, Computer Science - Computer Science and Game Theory, Computer Science and Game Theory (cs.GT)

Přístupová URL adresa: http://arxiv.org/abs/2310.16236

Logit-Q Dynamics for Efficient Learning in Stochastic Teams

Autoři: Ahmed Said Donmez Onur Unlu Muhammed O. Sayin

Zdroj: SIAM Journal on Control and Optimization. 63:3219-3243

Témata: FOS: Computer and information sciences, 0209 industrial biotechnology, Artificial Intelligence (cs.AI), 91A15, 91A26, 68T05, Computer Science - Computer Science and Game Theory, Computer Science - Artificial Intelligence, Optimization and Control (math.OC), 0502 economics and business, 05 social sciences, FOS: Mathematics, 02 engineering and technology, Mathematics - Optimization and Control, Computer Science and Game Theory (cs.GT)

Přístupová URL adresa: http://arxiv.org/abs/2302.09806

Dynamic Pricing Based Near-Optimal Resource Allocation for Elastic Edge Offloading

Autoři: Yun Xia Hai Xue Di Zhang a další

Zdroj: IEEE Transactions on Mobile Computing. 24:8057-8070

Témata: Computer Science - Networking and Internet Architecture, Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, Computer Science - Computer Science and Game Theory, Computer Science and Game Theory (cs.GT)

Přístupová URL adresa: http://arxiv.org/abs/2409.18977

Distributed Nash Equilibrium Seeking Over Time-Varying Directed Communication Networks

Autoři: Duong Thuy Anh Nguyen Duong Tung Nguyen Angelia Nedić

Zdroj: IEEE Transactions on Control of Network Systems. 12:1917-1929

Témata: FOS: Computer and information sciences, 0209 industrial biotechnology, Computer Science - Computer Science and Game Theory, 02 engineering and technology, 91A10, 91A43, 05C20, 68W15, Computer Science and Game Theory (cs.GT)

Přístupová URL adresa: http://arxiv.org/abs/2201.02323

Competitive Multi-Armed Bandit Games for Resource Sharing

Autoři: Hongbo Li Lingjie Duan

Zdroj: IEEE Transactions on Mobile Computing. 24:8393-8404

Témata: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Computer Science and Game Theory, Computer Science - Artificial Intelligence, Computer Science and Game Theory (cs.GT)

Přístupová URL adresa: http://arxiv.org/abs/2503.20975

Bidding Efficiently in Simultaneous Ascending Auctions With Incomplete Information Using Monte Carlo Tree Search and Determinization

Autoři: Pacaud, Alexandre Bechler, Aurelien Coupechoux, Marceau

Přispěvatelé: Pacaud, Alexandre Bechler, Aurelien Coupechoux, Marceau

Zdroj: IEEE Transactions on Games. 17:813-826

Témata: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], FOS: Computer and information sciences, Determinization, Artificial intelligence, Uncertainty, Monte Carlo methods, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], Vectors, Bayes methods, Ascending Auctions, Exposure, Licenses, Computer Science - Computer Science and Game Theory, Simultaneous Move Monte Carlo Tree Search, Search problems, Regulators, [INFO.INFO-GT] Computer Science [cs]/Computer Science and Game Theory [cs.GT], Training, Own price effect, Games, Risk-aversion, Computer Science and Game Theory (cs.GT)

Přístupová URL adresa: http://arxiv.org/abs/2407.11715
https://telecom-paris.hal.science/hal-05118567v1
https://doi.org/10.1109/tg.2025.3552025

Exploring Equilibrium Strategies in Network Games With Generative AI

Autoři: Yaoqi Yang Hongyang Du Geng Sun a další

Zdroj: IEEE Network. 39:191-200

Témata: FOS: Computer and information sciences, Computer Science - Computer Science and Game Theory, Computer Science and Game Theory (cs.GT)

Přístupová URL adresa: http://arxiv.org/abs/2405.08289

Tracking Truth with Liquid Democracy

Autoři: Adam J. Berinsky Daniel Halpern Joseph Y. Halpern a další

Zdroj: Management Science. 71:7821-7839

Témata: FOS: Computer and information sciences, Discrete Mathematics (cs.DM), Computer Science - Computer Science and Game Theory, 16. Peace & justice, Computer Science - Discrete Mathematics, Computer Science and Game Theory (cs.GT)

Přístupová URL adresa: http://arxiv.org/abs/2107.11868

On the Stability of the Logit Dynamics in Population Games

Autoři: Cianfanelli L. Como G.

Zdroj: IEEE Transactions on Automatic Control. 70:5910-5925

Témata: FOS: Computer and information sciences, Evolutionary game theory, Game theory, Logit dynamics, Nash equilibrium, Population games, Stability, Computer Science - Computer Science and Game Theory, FOS: Mathematics, Dynamical Systems (math.DS), Mathematics - Dynamical Systems, Computer Science and Game Theory (cs.GT), 91A22, 91A26, 93D20

Přístupová URL adresa: http://arxiv.org/abs/2307.03507
https://ieeexplore.ieee.org/document/10933512
https://doi.org/10.1109/TAC.2025.3553096
https://hdl.handle.net/11583/2999451

Generative Semantic Communication via Textual Prompts: Latency Performance Tradeoffs

Autoři: Mengmeng Ren Li Qiao Long Yang a další

Zdroj: IEEE Transactions on Vehicular Technology. 74:14843-14848

Témata: FOS: Computer and information sciences, Computer Science - Computer Science and Game Theory, Computer Science - Information Theory, Information Theory (cs.IT), Computer Science and Game Theory (cs.GT)

Přístupová URL adresa: http://arxiv.org/abs/2409.09715

Strategic and Fair Aggregator Interactions in Energy Markets: Multi-Agent Dynamics and Quasiconcave Games

Autoři: Jiayi Li Matt Motoki Baosen Zhang

Zdroj: IEEE Transactions on Energy Markets, Policy and Regulation. 3:340-351

Témata: Computer Science - Computer Science and Game Theory, Electrical Engineering and Systems Science - Systems and Control

Přístupová URL adresa: http://arxiv.org/abs/2410.11296

Incentivized Federated Learning and Unlearning

Autoři: Ningning Ding Zhenyu Sun Ermin Wei a další

Zdroj: IEEE Transactions on Mobile Computing. 24:8794-8810

Témata: FOS: Computer and information sciences, Computer Science - Computer Science and Game Theory, Computer Science and Game Theory (cs.GT)

Přístupová URL adresa: http://arxiv.org/abs/2308.12502

Relay Incentive Mechanisms Using Wireless Power Transfer in Non-Cooperative Networks

Autoři: Winston Hurst Yasamin Mostofi

Zdroj: IEEE Transactions on Wireless Communications. 24:7985-8000

Témata: FOS: Computer and information sciences, Computer Science - Computer Science and Game Theory, FOS: Electrical engineering, electronic engineering, information engineering, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, Computer Science and Game Theory (cs.GT)

Přístupová URL adresa: http://arxiv.org/abs/2410.15214

On the Truthfulness of Surprisingly Likely Responses of Large Language Models

Autoři: Naman Goel

Zdroj: Proceedings of the ACM Collective Intelligence Conference. :150-158

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computation and Language, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Science - Computer Science and Game Theory, Computation and Language (cs.CL), Machine Learning (cs.LG), Computer Science and Game Theory (cs.GT)

Přístupová URL adresa: http://arxiv.org/abs/2311.07692