4810 search results - page 37 / 962 » Modeling Value Speculation |
130
Voted
AAAI
2008
15 years 7 months ago
2008
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
146
Voted
KDD
2002
ACM
16 years 5 months ago
2002
ACM
There exists a huge demand for multimedia goods and services in the Internet. Currently available bandwidth speeds can support sale of downloadable content like CDs, e-books, etc....
148
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PKDD
2009
Springer
15 years 11 months ago
2009
Springer
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
148
Voted
ICCSA
2005
Springer
15 years 10 months ago
2005
Springer
Abstract. A company needs to implement several make-to-stock policies apart from a regular make-to-order production, so that the capacity of expensive resources can be fully utiliz...
210
Voted
CP
2004
Springer
15 years 10 months ago
2004
Springer
The success of stochastic algorithms is often due to their ability to effectively amplify the performance of search heuristics. This is certainly the case with stochastic sampling ...