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» Learning RoboCup-Keepaway with Kernels
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CORR
2012
Springer
188views Education» more  CORR 2012»
12 years 7 days ago
Learning RoboCup-Keepaway with Kernels
Tobias Jung, Daniel Polani
RAS
2010
131views more  RAS 2010»
13 years 2 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...
ATAL
2008
Springer
13 years 6 months ago
A new perspective to the keepaway soccer: the takers
Keepaway is a sub-problem of RoboCup Soccer Simulator in which 'the keepers' try to maintain the possession of the ball, while 'the takers' try to steal the ba...
Atil Iscen, Umut Erogul
ATAL
2008
Springer
13 years 6 months ago
Analysis of an evolutionary reinforcement learning method in a multiagent domain
Many multiagent problems comprise subtasks which can be considered as reinforcement learning (RL) problems. In addition to classical temporal difference methods, evolutionary algo...
Jan Hendrik Metzen, Mark Edgington, Yohannes Kassa...
ICML
2006
IEEE
14 years 5 months ago
Learning low-rank kernel matrices
Kernel learning plays an important role in many machine learning tasks. However, algorithms for learning a kernel matrix often scale poorly, with running times that are cubic in t...
Brian Kulis, Inderjit S. Dhillon, Máty&aacu...