Kurt Driessens

2008
22		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
21	EE	Robby Goetschalckx, Scott Sanner, Kurt Driessens: Reinforcement Learning with the Use of Costly Features. ECAI 2008: 779-780
20	EE	Laura-Andreea Antanas, Kurt Driessens, Jan Ramon, Tom Croonenborghs: Using Decision Trees as the Answer Networks in Temporal Difference-Networks. ECAI 2008: 847-848
19	EE	Robby Goetschalckx, Scott Sanner, Kurt Driessens: Reinforcement Learning with the Use of Costly Features. EWRL 2008: 124-135
18	EE	Robby Goetschalckx, Kurt Driessens, Scott Sanner: Cost-Sensitive Parsimonious Linear Regression. ICDM 2008: 809-814
17	EE	Kristian Kersting, Kurt Driessens: Non-parametric policy gradients: a unified treatment of propositional and relational domains. ICML 2008: 456-463
2007
16	EE	Jan Ramon, Kurt Driessens, Tom Croonenborghs: Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling. ECML 2007: 699-707
15	EE	Tom Croonenborghs, Kurt Driessens, Maurice Bruynooghe: Learning Relational Options for Inductive Transfer in Relational Reinforcement Learning. ILP 2007: 88-97
2006
14	EE	Kurt Driessens, Peter Reutemann, Bernhard Pfahringer, Claire Leschi: Using Weighted Nearest Neighbor to Benefit from Unlabeled Data. PAKDD 2006: 60-69
13	EE	Kurt Driessens, Jan Ramon, Thomas Gärtner: Graph kernels and Gaussian processes for relational reinforcement learning. Machine Learning 64(1-3): 91-119 (2006)
2005
12		Kurt Driessens, Saso Dzeroski: Combining Model-Based and Instance-Based Learning for First Order Regression. BNAIC 2005: 341-342
11	EE	Kurt Driessens, Saso Dzeroski: Combining model-based and instance-based learning for first order regression. ICML 2005: 193-200
10	EE	Kurt Driessens: Relational reinforcement learning. AI Commun. 18(1): 71-73 (2005)
2004
9	EE	Kurt Driessens, Saso Dzeroski: Integrating Guidance into Relational Reinforcement Learning. Machine Learning 57(3): 271-304 (2004)
2003
8		Kurt Driessens, Jan Ramon: Relational Instance Based Regression for Relational Reinforcement Learning. ICML 2003: 123-130
7	EE	Thomas Gärtner, Kurt Driessens, Jan Ramon: Graph Kernels and Gaussian Processes for Relational Reinforcement Learning. ILP 2003: 146-163
2002
6		Kurt Driessens, Saso Dzeroski: Integrating Experimentation and Guidance in Relational Reinforcement Learning. ICML 2002: 115-122
2001
5	EE	Kurt Driessens: Relational Reinforcement Learning. EASSS 2001: 271-280
4	EE	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
3		Saso Dzeroski, Luc De Raedt, Kurt Driessens: Relational Reinforcement Learning. Machine Learning 43(1/2): 7-52 (2001)
1998
2		Nico Jacobs, Kurt Driessens, Luc De Raedt: Using ILP-Systems for Verification and Validation of Multi-agent Systems. ILP 1998: 145-154
1	EE	Kurt Driessens, Nico Jacobs, Nathalie Cossement, Patrick Monsieurs, Luc De Raedt: Inductive Verification and Validation of the KULRoT RoboCup Team. RoboCup 1998: 193-206

Coauthor Index

1	Laura-Andreea Antanas	[20]
2	Hendrik Blockeel	[4]
3	Maurice Bruynooghe	[15]
4	Nathalie Cossement	[1]
5	Tom Croonenborghs	[15] [16] [20] [22]
6	Saso Dzeroski	[3] [6] [9] [11] [12]
7	Thomas Gärtner	[7] [13]
8	Robby Goetschalckx	[18] [19] [21]
9	Nico Jacobs	[1] [2]
10	Kristian Kersting	[17]
11	Claire Leschi	[14]
12	Patrick Monsieurs	[1]
13	Bernhard Pfahringer	[14]
14	Marc J. V. Ponsen	[22]
15	Luc De Raedt	[1] [2] [3]
16	Jan Ramon	[4] [7] [8] [13] [16] [20] [22]
17	Peter Reutemann	[14]
18	Scott Sanner	[18] [19] [21]
19	Karl Tuyls	[22]