508 search results - page 21 / 102 » Learning for stochastic dynamic programming |
121
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DAGSTUHL
2007
15 years 3 months ago
2007
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
105
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IPCO
2004
15 years 3 months ago
2004
Abstract. We propose a general methodology based on robust optimization to address the problem of optimally controlling a supply chain subject to stochastic demand in discrete time...
118
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CDC
2010
IEEE
14 years 9 months ago
2010
IEEE
We consider the classical finite-state discounted Markovian decision problem, and we introduce a new policy iteration-like algorithm for finding the optimal state costs or Q-facto...
149
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CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
A dynamic texture is a generative model for video that
treats the video as a sample from spatio-temporal stochastic
process. One problem associated with the dynamic texture
is t...
110
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ML
1998
ACM
15 years 1 months ago
1998
ACM
Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...