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ATAL
2009
Springer
14 years 2 months ago
Lossless clustering of histories in decentralized POMDPs
Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute a generic and expressive framework for multiagent planning under uncertainty. However, plannin...
Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J....
FSR
2007
Springer
135views Robotics» more  FSR 2007»
14 years 1 months ago
State Space Sampling of Feasible Motions for High Performance Mobile Robot Navigation in Highly Constrained Environments
Sampling in the space of controls or actions is a well-established method for ensuring feasible local motion plans. However, as mobile robots advance in performance and competence ...
Thomas M. Howard, Colin J. Green, Alonzo Kelly
ATAL
2006
Springer
13 years 11 months ago
A decision-theoretic approach to file consistency in constrained peer-to-peer device networks
As users interact with an increasing array of personal computing devices, maintaining consistency of data across those devices becomes significantly more difficult. Typical soluti...
David L. Roberts, Sooraj Bhat, Charles Lee Isbell ...
NIPS
2008
13 years 9 months ago
Particle Filter-based Policy Gradient in POMDPs
Our setting is a Partially Observable Markov Decision Process with continuous state, observation and action spaces. Decisions are based on a Particle Filter for estimating the bel...
Pierre-Arnaud Coquelin, Romain Deguest, Rém...
ISRR
2005
Springer
163views Robotics» more  ISRR 2005»
14 years 1 months ago
POMDP Planning for Robust Robot Control
POMDPs provide a rich framework for planning and control in partially observable domains. Recent new algorithms have greatly improved the scalability of POMDPs, to the point where...
Joelle Pineau, Geoffrey J. Gordon