508 search results - page 61 / 102 » Learning for stochastic dynamic programming |
124
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ICML
1996
IEEE
16 years 2 months ago
1996
IEEE
Research in reinforcementlearning (RL)has thus far concentrated on two optimality criteria: the discounted framework, which has been very well-studied, and the averagereward frame...
111
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ECAL
2005
Springer
15 years 7 months ago
2005
Springer
An evolutionary reinforcement-learning algorithm, the operation of which was not associated with an optimality condition, was instantiated in an artificial organism. The algorithm ...
126
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AAAI
1994
15 years 3 months ago
1994
Between sensing the world after every action (as in a reactive plan) and not sensing at all (as in an openloop plan), lies a continuum of strategies for sensing during plan execut...
105
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ICMCS
2007
IEEE
15 years 8 months ago
2007
IEEE
Much attention has been paid to the problem of optimally utilizing resources such as spectrum, power and time in order to achieve the best video delivery quality in wireless commu...
129
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ICN
2007
Springer
15 years 8 months ago
2007
Springer
— In this paper, we use the Markov Decision Process (MDP) technique to find the optimal code allocation policy in High-Speed Downlink Packet Access (HSDPA) networks. A discrete ...