508 search results - page 35 / 102 » Learning for stochastic dynamic programming |
133
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ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
We propose an analytic moment-based filter for nonlinear stochastic dynamic systems modeled by Gaussian processes. Exact expressions for the expected value and the covariance matr...
135
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AIPS
2008
15 years 4 months ago
2008
Enforced hill-climbing is an effective deterministic hillclimbing technique that deals with local optima using breadth-first search (a process called "basin flooding"). ...
125
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ML
2008
ACM
15 years 2 months ago
2008
ACM
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
124
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CORR
2010
Springer
15 years 2 months ago
2010
Springer
In this paper, we consider the problem of planning and learning in the infinite-horizon discounted-reward Markov decision problems. We propose a novel iterative direct policysearc...
115
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HPCA
2004
IEEE
16 years 2 months ago
2004
IEEE
Reducing energy consumption has become one of the major challenges in designing future computing systems. This paper proposes a novel idea of using program counters to predict I/O...