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RAS
2010
131views more  RAS 2010»
15 years 5 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...
LPNMR
2007
Springer
16 years 26 days ago
An Application of Defeasible Logic Programming to Decision Making in a Robotic Environment
Decision making models for autonomous agents have received increased attention, particularly in the field of intelligent robots. In this paper we will show how a Defeasible Logic ...
Edgardo Ferretti, Marcelo Errecalde, Alejandro Jav...
ICTAI
1994
IEEE
15 years 11 months ago
A Knowledge Representation System for Integration of General and Case-Specific Knowledge
Combining various knowledge types - and reasoning methods - in knowledge-based systems is a challenge to the knowledge representation task. The paper describes an object-oriented,...
Agnar Aamodt
JOLLI
2010
94views more  JOLLI 2010»
15 years 5 months ago
Querying Linguistic Trees
Large databases of linguistic annotations are used for testing linguistic hypotheses and for training language processing models. These linguistic annotations are often syntactic ...
Catherine Lai, Steven Bird
FLAIRS
2007
15 years 9 months ago
Context-Sensitive MTL Networks for Machine Lifelong Learning
Context-sensitive Multiple Task Learning, or csMTL, is presented as a method of inductive transfer that uses a single output neural network and additional contextual inputs for le...
Daniel L. Silver, Ryan Poirier