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» Goals and means in action observation: A computational appro...
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JAIR
2008
130views more  JAIR 2008»
15 years 6 months ago
Online Planning Algorithms for POMDPs
Partially Observable Markov Decision Processes (POMDPs) provide a rich framework for sequential decision-making under uncertainty in stochastic domains. However, solving a POMDP i...
Stéphane Ross, Joelle Pineau, Sébast...
ICRA
2010
IEEE
163views Robotics» more  ICRA 2010»
15 years 4 months ago
Exploiting domain knowledge in planning for uncertain robot systems modeled as POMDPs
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...
Salvatore Candido, James C. Davidson, Seth Hutchin...
CMSB
2008
Springer
15 years 8 months ago
Formal Analysis of Abnormal Excitation in Cardiac Tissue
We present the Piecewise Linear Approximation Model of Ion Channel contribution (PLAMIC) to cardiac excitation. We use the PLAMIC model to conduct formal analysis of cardiac arrhyt...
Pei Ye, Radu Grosu, Scott A. Smolka, Emilia Entche...
GECCO
2008
Springer
178views Optimization» more  GECCO 2008»
15 years 7 months ago
Agent Smith: a real-time game-playing agent for interactive dynamic games
The goal of this project is to develop an agent capable of learning and behaving autonomously and making decisions quickly in a dynamic environment. The agent’s environment is a...
Ryan K. Small
AAAI
2010
15 years 6 months ago
Computing Cost-Optimal Definitely Discriminating Tests
The goal of testing is to discriminate between multiple hypotheses about a system--for example, different fault diagnoses--by applying input patterns and verifying or falsifying t...
Anika Schumann, Jinbo Huang, Martin Sachenbacher