771 search results - page 141 / 155 » Markov Decision Processes with Arbitrary Reward Processes |
115
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JAIR
2010
14 years 10 months ago
2010
Decentralized planning in uncertain environments is a complex task generally dealt with by using a decision-theoretic approach, mainly through the framework of Decentralized Parti...
100
Voted
PKDD
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
108
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GLOBECOM
2010
IEEE
14 years 9 months ago
2010
IEEE
In cognitive networks, since nodes generally belong to different authorities and pursue different goals, they will not cooperate with others unless cooperation can improve their ow...
110
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DSN
2009
IEEE
14 years 9 months ago
2009
IEEE
Preserving the availability and integrity of networked computing systems in the face of fast-spreading intrusions requires advances not only in detection algorithms, but also in a...
123
Voted
GECCO
2009
Springer
14 years 9 months ago
2009
Springer
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...