83 search results - page 13 / 17 » Planning and Acting in Partially Observable Stochastic Domai... |
KR
1989
Springer
15 years 1 months ago
1989
Springer
In this work we extend the work of Dean, Kaelbling, Kirman and Nicholson on planning under time constraints in stochastic domains to handle more complicated scheduling problems. I...
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...
FSR
2003
Springer
15 years 2 months ago
2003
Springer
We describe a mobile robot system, designed to assist residents of an retirement facility. This system is being developed to respond to an aging population and a predicted shortage...
AAAI
2012
12 years 11 months ago
2012
Planning under uncertainty is an important and challenging problem in multiagent systems. Multiagent Partially Observable Markov Decision Processes (MPOMDPs) provide a powerful fr...
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AMAI
2004
Springer
15 years 2 months ago
2004
Springer
This paper extends the framework of partially observable Markov decision processes (POMDPs) to multi-agent settings by incorporating the notion of agent models into the state spac...