Kurt Driessens

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Jan Ramon

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Publications

2010
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Marc J. V. Ponsen, Tom Croonenborghs, Karl Tuyls, Jan Ramon, Kurt Driessens, H. Jaap van den Herik, Eric O. Postma:
Learning with Whom to Communicate Using Relational Reinforcement Learning. Interactive Collaborative Information Systems 2010: 45-63
2009
[c22]
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  - conf/acml/BroeckDR09
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Guy Van den Broeck, Kurt Driessens, Jan Ramon:
Monte-Carlo Tree Search in Poker Using Expected Reward Distributions. ACML 2009: 367-381
[c21]
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Marc J. V. Ponsen, Tom Croonenborghs, Karl Tuyls, Jan Ramon, Kurt Driessens:
Learning with whom to communicate using relational reinforcement learning. AAMAS (2) 2009: 1221-1222
2008
[c19]
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Marc J. V. Ponsen, Jan Ramon, Tom Croonenborghs, Kurt Driessens, Karl Tuyls:
Bayes-Relational Learning of Opponent Models from Incomplete Information in No-Limit Poker. AAAI 2008: 1485-1486
[c17]
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  - conf/ecai/AntanasDRC08
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Laura-Andreea Antanas, Kurt Driessens, Jan Ramon, Tom Croonenborghs:
Using Decision Trees as the Answer Networks in Temporal Difference-Networks. ECAI 2008: 847-848
2007
[c13]
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  - conf/ecml/RamonDC07
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Jan Ramon, Kurt Driessens, Tom Croonenborghs:
Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling. ECML 2007: 699-707
2006
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Kurt Driessens, Jan Ramon, Thomas Gärtner:
Graph kernels and Gaussian processes for relational reinforcement learning. Mach. Learn. 64(1-3): 91-119 (2006)
2003
[c8]
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Kurt Driessens, Jan Ramon:
Relational Instance Based Regression for Relational Reinforcement Learning. ICML 2003: 123-130
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Thomas Gärtner, Kurt Driessens, Jan Ramon:
Graph Kernels and Gaussian Processes for Relational Reinforcement Learning. ILP 2003: 146-163
2001
[c4]
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  - conf/ecml/DriessensRB01
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Kurt Driessens, Jan Ramon, Hendrik Blockeel:
Speeding Up Relational Reinforcement Learning through the Use of an Incremental First Order Decision Tree Learner. ECML 2001: 97-108

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