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» Machine Learning of Temporal Relations
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ICML
2003
IEEE
15 years 2 months ago
The Significance of Temporal-Difference Learning in Self-Play Training TD-Rummy versus EVO-rummy
Reinforcement learning has been used for training game playing agents. The value function for a complex game must be approximated with a continuous function because the number of ...
Clifford Kotnik, Jugal K. Kalita
WSDM
2012
ACM
325views Data Mining» more  WSDM 2012»
13 years 5 months ago
Coupled temporal scoping of relational facts
Recent research has made significant advances in automatically constructing knowledge bases by extracting relational facts (e.g., Bill Clinton-presidentOf-US) from large text cor...
Partha Pratim Talukdar, Derry Tanti Wijaya, Tom Mi...
ML
2011
ACM
179views Machine Learning» more  ML 2011»
14 years 4 months ago
Neural networks for relational learning: an experimental comparison
In the last decade, connectionist models have been proposed that can process structured information directly. These methods, which are based on the use of graphs for the representa...
Werner Uwents, Gabriele Monfardini, Hendrik Blocke...
ICMLA
2010
14 years 7 months ago
Incremental Learning of Relational Action Rules
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
Christophe Rodrigues, Pierre Gérard, C&eacu...
EUROGP
2007
Springer
116views Optimization» more  EUROGP 2007»
15 years 3 months ago
Genetic Programming with Fitness Based on Model Checking
Abstract. Model checking is a way of analysing programs and programlike structures to decide whether they satisfy a list of temporal logic statements describing desired behaviour. ...
Colin G. Johnson