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» On Computing Functions with Uncertainty
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ICRA
2007
IEEE
126views Robotics» more  ICRA 2007»
14 years 1 months ago
A formal framework for robot learning and control under model uncertainty
— While the Partially Observable Markov Decision Process (POMDP) provides a formal framework for the problem of robot control under uncertainty, it typically assumes a known and ...
Robin Jaulmes, Joelle Pineau, Doina Precup
LPNMR
2009
Springer
14 years 5 days ago
Belief Logic Programming: Uncertainty Reasoning with Correlation of Evidence
Abstract. Belief Logic Programming (BLP) is a novel form of quantitative logic programming in the presence of uncertain and inconsistent information, which was designed to be able ...
Hui Wan, Michael Kifer
SIAMCO
2002
124views more  SIAMCO 2002»
13 years 7 months ago
On Reachability Under Uncertainty
The paper studies the problem of reachability for linear systems in the presence of uncertain input disturbances that may also be interpreted as the action of an adversary in a ga...
Alexander B. Kurzhanski, Pravin Varaiya
ICRA
2010
IEEE
111views Robotics» more  ICRA 2010»
13 years 6 months ago
Control and planning for vehicles with uncertainty in dynamics
— This paper describes a motion planning algorithm that accounts for uncertainty in the dynamics of vehicles. This noise is a function of the type of controller employed on the v...
Daniel Mellinger, Vijay Kumar
AAAI
2004
13 years 9 months ago
Eliciting Bid Taker Non-price Preferences in (Combinatorial) Auctions
Recent algorithms provide powerful solutions to the problem of determining cost-minimizing (or revenue-maximizing) allocations of items in combinatorial auctions. However, in many...
Craig Boutilier, Tuomas Sandholm, Rob Shields