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130
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ATAL
2009
Springer
15 years 10 months ago
Multiagent reinforcement learning: algorithm converging to Nash equilibrium in general-sum discounted stochastic games
This paper introduces a multiagent reinforcement learning algorithm that converges with a given accuracy to stationary Nash equilibria in general-sum discounted stochastic games. ...
Natalia Akchurina
123
Voted
ATVA
2007
Springer
101views Hardware» more  ATVA 2007»
15 years 10 months ago
A Generic Constructive Solution for Concurrent Games with Expressive Constraints on Strategies
Abstract. The emerging technology of interacting systems calls for new forto ensure their reliability. Concurrent games are paradigmatic abstract models for which several logics ha...
Sophie Pinchinat
150
Voted
GLOBECOM
2006
IEEE
15 years 9 months ago
Distributed Cross-Layer Optimization of Wireless Sensor Networks: A Game Theoretic Approach
— This paper proposes a distributed optimization framework for wireless multihop sensor networks base on a game theoretic approach. We show that the cross-layer optimization prob...
Jun Yuan, Wei Yu
144
Voted
SIGECOM
2005
ACM
153views ECommerce» more  SIGECOM 2005»
15 years 9 months ago
Marginal contribution nets: a compact representation scheme for coalitional games
We present a new approach to representing coalitional games based on rules that describe the marginal contributions of the agents. This representation scheme captures characterist...
Samuel Ieong, Yoav Shoham
159
Voted
TIDSE
2004
Springer
15 years 9 months ago
Transferring Game Mastering Laws to Interactive Digital Storytelling
The Interactive Dilemma is the inevitable conflict between author’s determinism and interactor’s freedom. There are some approaches that try to tackle it, using strategies and...
Federico Peinado, Pablo Gervás