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» On Reachability Under Uncertainty
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ICMLA
2007
13 years 10 months ago
Learning to evaluate conditional partial plans
In our research we study rational agents which learn how to choose the best conditional, partial plan in any situation. The agent uses an incomplete symbolic inference engine, emp...
Slawomir Nowaczyk, Jacek Malec
NIPS
2008
13 years 10 months ago
Designing neurophysiology experiments to optimally constrain receptive field models along parametric submanifolds
Sequential optimal design methods hold great promise for improving the efficiency of neurophysiology experiments. However, previous methods for optimal experimental design have in...
Jeremy Lewi, Robert J. Butera, David M. Schneider,...
AAAI
2006
13 years 10 months ago
Compact, Convex Upper Bound Iteration for Approximate POMDP Planning
Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...
Tao Wang, Pascal Poupart, Michael H. Bowling, Dale...
AIPS
2004
13 years 10 months ago
Conformant Planning via Heuristic Forward Search: A New Approach
Conformant planning is the task of generating plans given uncertainty about the initial state and action effects, and without any sensing capabilities during plan execution. The p...
Ronen I. Brafman, Jörg Hoffmann
IADIS
2004
13 years 10 months ago
A first approximation to estimate the usability of a software application task
Our objective is to obtain the level of usability of a software application over the different tasks for which it has been developed. Nowadays, usability is measured through diffe...
M. González Aparicio, José Antonio L...