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JAIR
2008
98views more  JAIR 2008»
14 years 9 months ago
Refining the Execution of Abstract Actions with Learned Action Models
Freek Stulp, Michael Beetz
ICML
2002
IEEE
15 years 10 months ago
Action Refinement in Reinforcement Learning by Probability Smoothing
In many reinforcement learning applications, the set of possible actions can be partitioned by the programmer into subsets of similar actions. This paper presents a technique for ...
Carles Sierra, Dídac Busquets, Ramon L&oacu...
ETRICS
2006
15 years 1 months ago
Possibilistic Information Flow Control in MAKS and Action Refinement
Abstract. Formal methods emphasizes the need for a top-down approach when developing large reliable software systems. Refinements are map step by step abstract algebraic specificat...
Dieter Hutter
ICML
1998
IEEE
15 years 10 months ago
Intra-Option Learning about Temporally Abstract Actions
tion Learning about Temporally Abstract Actions Richard S. Sutton Department of Computer Science University of Massachusetts Amherst, MA 01003-4610 rich@cs.umass.edu Doina Precup D...
Richard S. Sutton, Doina Precup, Satinder P. Singh
87
Voted
AAAI
2007
14 years 12 months ago
Detecting Execution Failures Using Learned Action Models
reason with abstracted models of the behaviours they use to construct plans. When plans are turned into the instructions that drive an executive, the real behaviours interacting w...
Maria Fox, Jonathan Gough, Derek Long