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ECAI
2010
Springer
14 years 10 months ago
Implicit Learning of Compiled Macro-Actions for Planning
We build a comprehensive macro-learning system and contribute in three different dimensions that have previously not been addressed adequately. Firstly, we learn macro-sets conside...
Muhammad Abdul Hakim Newton, John Levine
AAAI
2007
15 years 2 days 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
ATAL
2008
Springer
14 years 11 months ago
Reinforcement learning for DEC-MDPs with changing action sets and partially ordered dependencies
Decentralized Markov decision processes are frequently used to model cooperative multi-agent systems. In this paper, we identify a subclass of general DEC-MDPs that features regul...
Thomas Gabel, Martin A. Riedmiller
AI
1999
Springer
14 years 9 months ago
Learning Action Strategies for Planning Domains
There are many different approaches to solving planning problems, one of which is the use of domain specific control knowledge to help guide a domain independent search algorithm. ...
Roni Khardon
ICRA
2003
IEEE
111views Robotics» more  ICRA 2003»
15 years 3 months ago
Learning about objects through action -initial steps towards artificial cognition
Paul M. Fitzpatrick, Giorgio Metta, Lorenzo Natale...