68 search results - page 14 / 14 » Feature-Discovering Approximate Value Iteration Methods |
AIPS
2009
14 years 10 months ago
2009
When modeling real-world decision-theoretic planning problems in the Markov decision process (MDP) framework, it is often impossible to obtain a completely accurate estimate of tr...
101
click to vote
RSS
2007
14 years 11 months ago
2007
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
126
click to vote
SIAMMAX
2010
14 years 4 months ago
2010
The problem of completing a low-rank matrix from a subset of its entries is often encountered in the analysis of incomplete data sets exhibiting an underlying factor model with app...