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ISRR
2005
Springer
163views Robotics» more  ISRR 2005»
15 years 2 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
AIPS
2006
14 years 10 months ago
Automated Web Service Composition by On-the-Fly Belief Space Search
Composition of stateful web services expressed in BPEL4WS can be recasted as a problem of planning in asynchronous domains. In (PTB05), this is pursued by encoding the asynchronou...
Piergiorgio Bertoli, Marco Pistore, Paolo Traverso
ATAL
2007
Springer
15 years 3 months ago
Subjective approximate solutions for decentralized POMDPs
A problem of planning for cooperative teams under uncertainty is a crucial one in multiagent systems. Decentralized partially observable Markov decision processes (DECPOMDPs) prov...
Anton Chechetka, Katia P. Sycara
ICRA
2007
IEEE
167views Robotics» more  ICRA 2007»
15 years 3 months ago
Planar batting under shape, pose, and impact uncertainty
— This paper explores the planning and control of a manipulation task accomplished in conditions of high uncertainty. Statistical techniques, like particle filters, provide a fr...
Jiaxin L. Fu, Siddhartha S. Srinivasa, Nancy S. Po...
AAAI
2006
14 years 10 months ago
Point-based Dynamic Programming for DEC-POMDPs
We introduce point-based dynamic programming (DP) for decentralized partially observable Markov decision processes (DEC-POMDPs), a new discrete DP algorithm for planning strategie...
Daniel Szer, François Charpillet