377 search results - page 19 / 76 » Convergence of Stochastic Iterative Dynamic Programming Algo... |
NIPS
1996
14 years 11 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...
ICPR
2010
IEEE
15 years 2 days ago
2010
IEEE
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...
ECAI
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. Infinite-horizon multi-agent control processes with nondeterminism and partial state knowledge have particularly interesting properties with respect to adaptive control, ...
89
Voted
WSC
2004
14 years 11 months ago
2004
This paper develops a variant of Simulated Annealing (SA) algorithm for solving discrete stochastic optimization problems where the objective function is stochastic and can be eva...
106
Voted
AI
2002
Springer
14 years 9 months ago
2002
Springer
Learning to act in a multiagent environment is a difficult problem since the normal definition of an optimal policy no longer applies. The optimal policy at any moment depends on ...