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» A Probabilistic Applied Pi-Calculus
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ICRA
2010
IEEE
123views Robotics» more  ICRA 2010»
13 years 7 months ago
A probabilistic approach to mixed open-loop and closed-loop control, with application to extreme autonomous driving
— We consider the task of accurately controlling a complex system, such as autonomously sliding a car sideways into a parking spot. Although certain regions of this domain are ex...
J. Zico Kolter, Christian Plagemann, David T. Jack...
JAIR
2010
131views more  JAIR 2010»
13 years 7 months ago
Automatic Induction of Bellman-Error Features for Probabilistic Planning
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...
Jia-Hong Wu, Robert Givan
RAS
2010
131views more  RAS 2010»
13 years 7 months ago
Probabilistic Policy Reuse for inter-task transfer learning
Policy Reuse is a reinforcement learning technique that efficiently learns a new policy by using past similar learned policies. The Policy Reuse learner improves its exploration b...
Fernando Fernández, Javier García, M...
SUM
2010
Springer
13 years 7 months ago
Cost-Based Query Answering in Action Probabilistic Logic Programs
Abstract. Action-probabilistic logic programs (ap-programs), a class of probabilistic logic programs, have been applied during the last few years for modeling behaviors of entities...
Gerardo I. Simari, John P. Dickerson, V. S. Subrah...
CORR
2011
Springer
127views Education» more  CORR 2011»
13 years 4 months ago
Is a probabilistic modeling
— A new standpoint on financial time series, without the use of any mathematical model and of probabilistic tools, yields not only a rigorous approach of trends and volatility, ...
Michel Fliess, Cédric Join, Fréd&eac...