43 search results - page 4 / 9 » Decentralized Learning in Markov Games |
176
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NIPS
2001
15 years 7 months ago
2001
We consider the problem of learning to attain multiple goals in a dynamic environment, which is initially unknown. In addition, the environment may contain arbitrarily varying ele...
164
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ICC
2011
IEEE
14 years 5 months ago
2011
IEEE
—In this paper, recent results in game theory and stochastic approximation are brought together to mitigate the problem of femto-to-macrocell cross-tier interference. The main re...
233
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PAMI
2007
15 years 5 months ago
2007
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
162
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TCOM
2010
15 years 4 months ago
2010
Abstract—This paper considers an uplink time division multiple access (TDMA) cognitive radio network where multiple cognitive radios (secondary users) attempt to access a spect...
154
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NIPS
2004
15 years 7 months ago
2004
Go is an ancient oriental game whose complexity has defeated attempts to automate it. We suggest using probability in a Bayesian sense to model the uncertainty arising from the va...