262 search results - page 50 / 53 » Bounded-Parameter Partially Observable Markov Decision Proce... |
IAT
2009
IEEE
14 years 5 months ago
2009
IEEE
Distributed Partially Observable Markov Decision Problems (DisPOMDPs) are emerging as a popular approach for modeling sequential decision making in teams operating under uncertain...
ICML
1999
IEEE
14 years 11 months ago
1999
IEEE
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
DEXA
2003
Springer
14 years 4 months ago
2003
Springer
Abstract. Data mining, which aims at extracting interesting information from large collections of data, has been widely used as an effective decision making tool. Mining the datas...
MOBIHOC
2008
ACM
14 years 10 months ago
2008
ACM
A key challenge of routing in delay tolerant networks (DTNs) is to find routes that have high delivery rates and low endto-end delays. When oracles are not available for future co...
ICML
2007
IEEE
14 years 11 months ago
2007
IEEE
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...