89 search results - page 1 / 18 » Stable Function Approximation in Dynamic Programming |
ICML
1995
IEEE
14 years 5 months ago
1995
IEEE
The success ofreinforcement learninginpractical problems depends on the ability to combine function approximation with temporal di erence methods such as value iteration. Experime...
NIPS
2007
13 years 6 months ago
2007
Recently, we have introduced a novel approach to dynamic programming and reinforcement learning that is based on maintaining explicit representations of stationary distributions i...
AUTOMATICA
2006
13 years 4 months ago
2006
NIPS
2007
13 years 6 months ago
2007
Stability is a desirable characteristic for linear dynamical systems, but it is often ignored by algorithms that learn these systems from data. We propose a novel method for learn...
CDC
2009
IEEE
13 years 9 months ago
2009
IEEE
—TD learning and its refinements are powerful tools for approximating the solution to dynamic programming problems. However, the techniques provide the approximate solution only...