473 search results - page 74 / 95 » Optimal policy switching algorithms for reinforcement learni... |
157
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CORR
2008
Springer
15 years 5 months ago
2008
Springer
We study the problem of dynamic spectrum sensing and access in cognitive radio systems as a partially observed Markov decision process (POMDP). A group of cognitive users cooperati...
177
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ICML
1999
IEEE
16 years 6 months ago
1999
IEEE
Many interesting problems, such as power grids, network switches, and tra c ow, that are candidates for solving with reinforcement learningRL, alsohave properties that make distri...
158
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GECCO
2005
Springer
15 years 11 months ago
2005
Springer
Exploration/Exploitation equilibrium is one of the most challenging issues in reinforcement learning area as well as learning classifier systems such as XCS. In this paper1 , an i...
161
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ATAL
2009
Springer
16 years 10 days ago
2009
Springer
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
140
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EENERGY
2010
15 years 9 months ago
2010
Sleeping is an important method to reduce energy consumption in many information and communication systems. In this paper we focus on a typical server under dynamic load, where en...