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## Search the dblp DataBase
Kurt Driessens:
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## Publications of Author- Kurt Driessens, Saso Dzeroski
**Combining Model-Based and Instance-Based Learning for First Order Regression.**[Citation Graph (0, 0)][DBLP] BNAIC, 2005, pp:341-342 [Conf] - Kurt Driessens
**Relational Reinforcement Learning.**[Citation Graph (0, 0)][DBLP] EASSS, 2001, pp:271-280 [Conf] - Kurt Driessens, Jan Ramon, Hendrik Blockeel
**Speeding Up Relational Reinforcement Learning through the Use of an Incremental First Order Decision Tree Learner.**[Citation Graph (0, 0)][DBLP] ECML, 2001, pp:97-108 [Conf] - Kurt Driessens, Saso Dzeroski
**Integrating Experimentation and Guidance in Relational Reinforcement Learning.**[Citation Graph (0, 0)][DBLP] ICML, 2002, pp:115-122 [Conf] - Kurt Driessens, Saso Dzeroski
**Combining model-based and instance-based learning for first order regression.**[Citation Graph (0, 0)][DBLP] ICML, 2005, pp:193-200 [Conf] - Kurt Driessens, Jan Ramon
**Relational Instance Based Regression for Relational Reinforcement Learning.**[Citation Graph (0, 0)][DBLP] ICML, 2003, pp:123-130 [Conf] - Thomas Gärtner, Kurt Driessens, Jan Ramon
**Graph Kernels and Gaussian Processes for Relational Reinforcement Learning.**[Citation Graph (0, 0)][DBLP] ILP, 2003, pp:146-163 [Conf] - Nico Jacobs, Kurt Driessens, Luc De Raedt
**Using ILP-Systems for Verification and Validation of Multi-agent Systems.**[Citation Graph (0, 0)][DBLP] ILP, 1998, pp:145-154 [Conf] - Kurt Driessens, Peter Reutemann, Bernhard Pfahringer, Claire Leschi
**Using Weighted Nearest Neighbor to Benefit from Unlabeled Data.**[Citation Graph (0, 0)][DBLP] PAKDD, 2006, pp:60-69 [Conf] - Kurt Driessens, Nico Jacobs, Nathalie Cossement, Patrick Monsieurs, Luc De Raedt
**Inductive Verification and Validation of the KULRoT RoboCup Team.**[Citation Graph (0, 0)][DBLP] RoboCup, 1998, pp:193-206 [Conf] - Kurt Driessens
**Relational reinforcement learning.**[Citation Graph (0, 0)][DBLP] AI Commun., 2005, v:18, n:1, pp:71-73 [Journal] - Kurt Driessens, Saso Dzeroski
**Integrating Guidance into Relational Reinforcement Learning.**[Citation Graph (0, 0)][DBLP] Machine Learning, 2004, v:57, n:3, pp:271-304 [Journal] - Saso Dzeroski, Luc De Raedt, Kurt Driessens
**Relational Reinforcement Learning.**[Citation Graph (0, 0)][DBLP] Machine Learning, 2001, v:43, n:1/2, pp:7-52 [Journal] - Kurt Driessens, Jan Ramon, Thomas Gärtner
**Graph kernels and Gaussian processes for relational reinforcement learning.**[Citation Graph (0, 0)][DBLP] Machine Learning, 2006, v:64, n:1-3, pp:91-119 [Journal] - Jan Ramon, Kurt Driessens, Tom Croonenborghs
**Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling.**[Citation Graph (0, 0)][DBLP] ECML, 2007, pp:699-707 [Conf] **Bayes-Relational Learning of Opponent Models from Incomplete Information in No-Limit Poker.**[Citation Graph (, )][DBLP]**Learning with whom to communicate using relational reinforcement learning.**[Citation Graph (, )][DBLP]**Reinforcement Learning with the Use of Costly Features.**[Citation Graph (, )][DBLP]**Using Decision Trees as the Answer Networks in Temporal Difference-Networks.**[Citation Graph (, )][DBLP]**Cost-Sensitive Parsimonious Linear Regression.**[Citation Graph (, )][DBLP]**Non-parametric policy gradients: a unified treatment of propositional and relational domains.**[Citation Graph (, )][DBLP]**Bayesian Real-Time Dynamic Programming.**[Citation Graph (, )][DBLP]**Learning Relational Options for Inductive Transfer in Relational Reinforcement Learning.**[Citation Graph (, )][DBLP]**Reinforcement Learning with the Use of Costly Features.**[Citation Graph (, )][DBLP]**Monte-Carlo Tree Search in Poker Using Expected Reward Distributions.**[Citation Graph (, )][DBLP]
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