168 search results - page 34 / 34 » Reinforcement Learning Algorithm for Partially Observable Ma... |
KDD
2008
ACM
14 years 5 months ago
2008
ACM
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
IAT
2009
IEEE
13 years 11 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...
PROMAS
2004
Springer
13 years 10 months ago
2004
Springer
Distributed partially observable Markov decision problems (POMDPs) have emerged as a popular decision-theoretic approach for planning for multiagent teams, where it is imperative f...