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ICML
2000
IEEE
14 years 8 months ago
Convergence Problems of General-Sum Multiagent Reinforcement Learning
Stochastic games are a generalization of MDPs to multiple agents, and can be used as a framework for investigating multiagent learning. Hu and Wellman (1998) recently proposed a m...
Michael H. Bowling
COLT
2004
Springer
14 years 1 months ago
Reinforcement Learning for Average Reward Zero-Sum Games
Abstract. We consider Reinforcement Learning for average reward zerosum stochastic games. We present and analyze two algorithms. The first is based on relative Q-learning and the ...
Shie Mannor
ICMLA
2008
13 years 9 months ago
Distributed Planning in Stochastic Games with Communication
This paper treats the problem of distributed planning in general-sum stochastic games with communication when the model is known. Our main contribution is a novel, game theoretic ...
Andriy Burkov, Brahim Chaib-draa
CORR
2010
Springer
144views Education» more  CORR 2010»
13 years 7 months ago
Stochastic Games for Security in Networks with Interdependent Nodes
This paper studies a stochastic game theoretic approach to security and intrusion detection in communication and computer networks. Specifically, an Attacker and a Defender take pa...
Kien C. Nguyen, Tansu Alpcan, Tamer Basar
ICALP
2009
Springer
14 years 8 months ago
Reachability in Stochastic Timed Games
We define stochastic timed games, which extend two-player timed games with probabilities (following a recent approach by Baier et al), and which extend in a natural way continuous-...
Patricia Bouyer, Vojtech Forejt