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AIPS
2006
13 years 9 months ago
Lessons Learned in Applying Domain-Independent Planning to High-Speed Manufacturing
Much has been made of the need for academic planning research to orient towards real-world applications. In this paper, we relate our experience in adapting domain-independent pla...
Minh Binh Do, Wheeler Ruml
ICMLA
2009
13 years 5 months ago
Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
Mark Kroon, Shimon Whiteson
IJCAI
2003
13 years 9 months ago
In Defense of PDDL Axioms
There is controversy as to whether explicit support for PDDL-like axioms and derived predicates is needed for planners to handle real-world domains effectively. Many researchers h...
Sylvie Thiébaux, Jörg Hoffmann, Bernha...
NIPS
1997
13 years 9 months ago
Nonparametric Model-Based Reinforcement Learning
This paper describes some of the interactions of model learning algorithms and planning algorithms we have found in exploring model-based reinforcement learning. The paper focuses...
Christopher G. Atkeson
WMTE
2005
IEEE
14 years 1 months ago
Developing Interactive Logbook: A Personal Learning Environment
Many universities and further education colleges provide Virtual Learning Environments (VLEs). In recent years a new direction has been to extend these to support Personal Develop...
Tony Chan, Dan Corlett, Mike Sharples, Jeffrey Tin...