231 search results - page 40 / 47 » Active Learning in Partially Observable Markov Decision Proc... |
ICRA
2010
IEEE
13 years 6 months ago
2010
IEEE
Abstract— We propose a planning algorithm that allows usersupplied domain knowledge to be exploited in the synthesis of information feedback policies for systems modeled as parti...
NIPS
2007
13 years 9 months ago
2007
Point-based algorithms have been surprisingly successful in computing approximately optimal solutions for partially observable Markov decision processes (POMDPs) in high dimension...
INFOCOM
2009
IEEE
14 years 2 months ago
2009
IEEE
—In this paper, we investigate into optimal admission control policies for Heterogeneous Wireless Networks (HWN), considering an integration of wireless mesh networks with an ove...
ATAL
2009
Springer
14 years 2 months ago
2009
Springer
Recent scaling up of decentralized partially observable Markov decision process (DEC-POMDP) solvers towards realistic applications is mainly due to approximate methods. Of this fa...
AIPS
2008
13 years 9 months ago
2008
Flexible general purpose robots need to tailor their visual processing to their task, on the fly. We propose a new approach to this within a planning framework, where the goal is ...