508 search results - page 31 / 102 » Learning for stochastic dynamic programming |
112
Voted
NIPS
2003
15 years 3 months ago
2003
We consider the policy search approach to reinforcement learning. We show that if a “baseline distribution” is given (indicating roughly how often we expect a good policy to v...
145
Voted
CPAIOR
2008
Springer
15 years 4 months ago
2008
Springer
The one-step anticipatory algorithm (1s-AA) is an online algorithm making decisions under uncertainty by ignoring future non-anticipativity constraints. It makes near-optimal decis...
105
click to vote
RECOMB
2006
Springer
16 years 2 months ago
2006
Springer
Abstract. This paper presents a new method for studying protein folding kinetics. It uses the recently introduced Stochastic Roadmap Simulation (SRS) method to estimate the transit...
138
click to vote
HYBRID
2004
Springer
15 years 8 months ago
2004
Springer
We present a parameter inference algorithm for autonomous stochastic linear hybrid systems, which computes a maximum-likelihood model, given only a set of continuous output data of...
112
Voted
ECAI
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. We address the problem of continuous stochastic optimal control in the presence of hard obstacles. Due to the non-smooth character of the obstacles, the traditional appro...