252 search results - page 15 / 51 » Optimal Sequential Exploration: A Binary Learning Model |
CDC
2009
IEEE
13 years 5 months ago
2009
IEEE
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
ASPDAC
2001
ACM
13 years 11 months ago
2001
ACM
Abstract-- Image computation is the core operation for optimization and formal verification of sequential systems like controllers or protocols. State exploration techniques based ...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
We consider the exploration/exploitation problem in reinforcement learning (RL). The Bayesian approach to model-based RL offers an elegant solution to this problem, by considering...
IJCAI
2007
13 years 9 months ago
2007
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
TSP
2010
13 years 2 months ago
2010
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...