508 search results - page 1 / 102 » Learning for stochastic dynamic programming |
ESANN
2006
13 years 6 months ago
2006
Abstract. We present experimental results about learning function values (i.e. Bellman values) in stochastic dynamic programming (SDP). All results come from openDP (opendp.sourcef...
ICINCO
2007
13 years 6 months ago
2007
NIPS
1996
13 years 5 months ago
1996
Model learning combined with dynamic programming has been shown to be e ective for learning control of continuous state dynamic systems. The simplest method assumes the learned mod...
NIPS
1993
13 years 5 months ago
1993
Recent developments in the area of reinforcement learning have yielded a number of new algorithms for the prediction and control of Markovian environments. These algorithms,includ...
CIE
2009
Springer
13 years 11 months ago
2009
Springer
We present a technique to associate to stochastic programs written in stochastic Concurrent Constraint Programming a semantics in terms of a lattice of hybrid automata. The aim of ...