221 search results - page 8 / 45 » A Linear Decision-Based Approximation Approach to Stochastic... |
NIPS
2003
13 years 8 months ago
2003
Approximate linear programming (ALP) has emerged recently as one of the most promising methods for solving complex factored MDPs with finite state spaces. In this work we show th...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Approximate Linear Programming (ALP) is a reinforcement learning technique with nice theoretical properties, but it often performs poorly in practice. We identify some reasons for...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Approximate dynamic programming has been used successfully in a large variety of domains, but it relies on a small set of provided approximation features to calculate solutions re...
AMAI
2006
Springer
13 years 7 months ago
2006
Springer
A weakness of classical Markov decision processes (MDPs) is that they scale very poorly due to the flat state-space representation. Factored MDPs address this representational pro...
CORR
2011
Springer
2011
Springer
On a linear programming approach to the discrete Willmore boundary value problem and generalizations
13 years 2 months ago
We consider the problem of finding (possibly non connected) discrete surfaces spanning a finite set of discrete boundary curves in the three-dimensional space and minimizing (glo...