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ICML
2000
IEEE
15 years 10 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
15 years 3 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
14 years 11 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»
14 years 9 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
69
Voted
ICALP
2009
Springer
15 years 10 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