280 search results - page 16 / 56 » Planning for Markov Decision Processes with Sparse Stochasti... |
DATE
2008
IEEE
15 years 4 months ago
2008
IEEE
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
IUI
2010
ACM
15 years 6 months ago
2010
ACM
Most of the previous work on non-invasive brain-computer interfaces (BCIs) has been focused on feature extraction and classification algorithms to achieve high performance for the...
ATAL
2004
Springer
15 years 3 months ago
2004
Springer
This paper presents properties and results of a new framework for sequential decision-making in multiagent settings called interactive partially observable Markov decision process...
ICTAI
1996
IEEE
15 years 2 months ago
1996
IEEE
This paper presents an approach to building plans using partially observable Markov decision processes. The approach begins with a base solution that assumes full observability. T...
AAAI
1997
14 years 11 months ago
1997
Markov Decision Processes (MDPs), currently a popular method for modeling and solving decision theoretic planning problems, are limited by the Markovian assumption: rewards and dy...