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ICML
1994
IEEE
15 years 10 months ago
Markov Games as a Framework for Multi-Agent Reinforcement Learning
In the Markov decision process (MDP) formalization of reinforcement learning, a single adaptive agent interacts with an environment defined by a probabilistic transition function....
Michael L. Littman
ISTA
2007
15 years 8 months ago
Game Theory-based Data Mining Technique for Strategy Making of a Soccer Simulation Coach Agent
: Soccer simulation is an effort to motivate researchers to perform artificial and robotic intelligence investigations in a multi-agent system framework. In this paper, we propose ...
Amin Milani Fard, Vahid Salmani, Mahmoud Naghibzad...
SSPR
2010
Springer
15 years 5 months ago
Fast Population Game Dynamics for Dominant Sets and Other Quadratic Optimization Problems
We propose a fast population game dynamics, motivated by the analogy with infection and immunization processes within a population of “players,” for finding dominant sets, a p...
Samuel Rota Bulò, Immanuel M. Bomze, Marcel...
VTC
2010
IEEE
114views Communications» more  VTC 2010»
15 years 5 months ago
Power Control Game with SINR-Pricing in Variable-Demand Wireless Data Networks
—Game theory has been applied to model power control in wireless systems for years. Conventional power control games tend to consider unlimited backlogged user traffic. Differen...
Fu-Yun Tsuo, Wei-Lin Lee, Chih-Yu Wang, Hung-Yu We...
IFIPTCS
2010
15 years 4 months ago
A Game-Theoretic Approach to Routing under Adversarial Conditions
Abstract. We present a game-theoretic framework for modeling and solving routing problems in dynamically changing networks. The model covers the aspects of reactivity and non-termi...
James Gross, Frank G. Radmacher, Wolfgang Thomas