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» Inference and Learning in Planning
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ECML
2006
Springer
15 years 1 months ago
Improving Control-Knowledge Acquisition for Planning by Active Learning
Automatically acquiring control-knowledge for planning, as it is the case for Machine Learning in general, strongly depends on the training examples. In the case of planning, examp...
Raquel Fuentetaja, Daniel Borrajo
MLMTA
2007
14 years 11 months ago
GenInc: An Incremental Context-Free Grammar Learning Algorithm for Domain-Specific Language Development
- While grammar inference (or grammar induction) has found extensive application in the areas of robotics, computational biology, speech and pattern recognition, its application to...
Faizan Javed, Marjan Mernik, Barrett R. Bryant, Al...
ILP
2000
Springer
15 years 1 months ago
Using ILP to Improve Planning in Hierarchical Reinforcement Learning
Hierarchical reinforcement learning has been proposed as a solution to the problem of scaling up reinforcement learning. The RLTOPs Hierarchical Reinforcement Learning System is an...
Mark D. Reid, Malcolm R. K. Ryan
AGI
2011
14 years 1 months ago
Reinforcement Learning and the Bayesian Control Rule
We present an actor-critic scheme for reinforcement learning in complex domains. The main contribution is to show that planning and I/O dynamics can be separated such that an intra...
Pedro Alejandro Ortega, Daniel Alexander Braun, Si...
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