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» Learning by demonstration in repeated stochastic games
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ATAL
2011
Springer
12 years 4 months ago
Learning by demonstration in repeated stochastic games
Jacob W. Crandall, Malek H. Altakrori, Yomna M. Ha...
ICML
2003
IEEE
14 years 5 months ago
BL-WoLF: A Framework For Loss-Bounded Learnability In Zero-Sum Games
We present BL-WoLF, a framework for learnability in repeated zero-sum games where the cost of learning is measured by the losses the learning agent accrues (rather than the number...
Vincent Conitzer, Tuomas Sandholm
JSAC
2007
189views more  JSAC 2007»
13 years 4 months ago
Non-Cooperative Power Control for Wireless Ad Hoc Networks with Repeated Games
— One of the distinctive features in a wireless ad hoc network is lack of any central controller or single point of authority, in which each node/link then makes its own decision...
Chengnian Long, Qian Zhang, Bo Li, Huilong Yang, X...
ALDT
2009
Springer
207views Algorithms» more  ALDT 2009»
13 years 11 months ago
Anytime Self-play Learning to Satisfy Functional Optimality Criteria
We present an anytime multiagent learning approach to satisfy any given optimality criterion in repeated game self-play. Our approach is opposed to classical learning approaches fo...
Andriy Burkov, Brahim Chaib-draa
AAAI
2006
13 years 6 months ago
On the Difficulty of Achieving Equilibrium in Interactive POMDPs
We analyze the asymptotic behavior of agents engaged in an infinite horizon partially observable stochastic game as formalized by the interactive POMDP framework. We show that whe...
Prashant Doshi, Piotr J. Gmytrasiewicz