K. Driessens

发表

Integrating Experimentation and Guidance in Relational Reinforcement Learning

Saso Dzeroski, Kurt Driessens, K. Driessens, 2002, ICML.

Integrating Guidance into Relational Reinforcement Learning

Saso Dzeroski, Kurt Driessens, K. Driessens, 2004, Machine Learning.

Transfer learning for reinforcement learning through goal and policy parametrization

Jan Ramon, Tom Croonenborghs, Kurt Driessens, 2006, ICML 2006.

On the numeric stability of Gaussian processes regression for relational reinforcement learning

Jan Ramon, Kurt Driessens, K. Driessens, 2004, ICML 2004.

Relational Reinforcement Learning: An Overview

Robert Givan, Prasad Tadepalli, Kurt Driessens, 2004, ICML 2004.

Speeding Up Relational Reinforcement Learning through the Use of an Incremental First Order Decision Tree Learner

Kurt Driessens, Jan Ramon, Hendrik Blockeel, 2001, ECML.

Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling

Kurt Driessens, Jan Ramon, Tom Croonenborghs, 2007, ECML.

Relational Reinforcement Learning

Kurt Driessens, K. Driessens, 1998, Machine-mediated learning.

Relational Reinforcement Learning

Luc De Raedt, Saso Dzeroski, Kurt Driessens, 2001, Machine Learning.

Graph kernels and Gaussian processes for relational reinforcement learning

Thomas Gärtner, Kurt Driessens, Jan Ramon, 2006, Machine Learning.

Radial Basis Function Neural Networks

Risto Miikkulainen, Johannes Fürnkranz, Jun Morimoto, 2010, Encyclopedia of Machine Learning.

Cost-sensitive linear regression with costly features

S. Sanner, K. Driessens, R. Goetschalckx, 2008, ICML 2008.

Automatic discretization of actions and states in Monte-Carlo tree search

Guy Van den Broeck, Kurt Driessens, K. Driessens, 2011 .

Use of deep learning methods to translate drug-induced gene expression changes from rat to human primary hepatocytes

Ralf L. M. Peeters, K. Driessens, N. V. van Riel, 2020, PloS one.

Monte-Carlo Tree Search in Poker Using Expected Reward Distributions

Guy Van den Broeck, Kurt Driessens, Jan Ramon, 2009, ACML.

Receiver Operating Characteristic Analysis

Risto Miikkulainen, Johannes Fürnkranz, Luís Torgo, 2010, Encyclopedia of Machine Learning.

Graph kernels and Gaussian processes for relational reinforcement learning

Thomas Gärtner, Kurt Driessens, Jan Ramon, 2006, Machine-mediated learning.

On the Numeri Stability of Gaussian Pro esses Regression for Relational

K. Driessens, J. Ramon, 2015 .

ROC Curve

Risto Miikkulainen, Johannes Fürnkranz, Jun Morimoto, 2010, Encyclopedia of Machine Learning.

Random Decision Forests

Risto Miikkulainen, Johannes Fürnkranz, Jun Morimoto, 2010, Encyclopedia of Machine Learning.

Radial Basis Function Neural Networks

Russ Tedrake, V. Sindhwani, R. Miikkulainen, 2010, Encyclopedia of Machine Learning.

Using ILP-systems for Veri(cid:12)cation and Validation of Multi-Agent Systems

K. Driessens, SystemsNico, Jacobs, 2008 .

Inductive Veriication and Validation of Multi-agent Systems

L. D. Raedt, K. Driessens, N. Jacobs, 2007 .

Edinburgh Research Explorer The Extended Dawid-Skene Model

Michael P. J. Camilleri, K. Driessens, Christopher K. I. Williams, 2020 .

Non-parametric policy gradients: a unified treatment of propositional and relational domains

Kristian Kersting, Kurt Driessens, K. Kersting, 2008, ICML '08.

Learning with Whom to Communicate Using Relational Reinforcement Learning

Kurt Driessens, Jan Ramon, Karl Tuyls, 2009, Interactive Collaborative Information Systems.

Bayesian Real-Time Dynamic Programming

Scott Sanner, Guy Shani, Kurt Driessens, 2009, IJCAI.

Real-time Bayesian Search Control for MDPs

Scott Sanner, Kurt Driessens, Robby Goetschalckx, 2008, ICAPS 2008.

Contextual Encoder-Decoder Network for Visual Saliency Prediction

Rainer Goebel, Kurt Driessens, Mario Senden, 2019, Neural Networks.

Using ILP-Systems for Verification and Validation of Multi-agent Systems

Luc De Raedt, Kurt Driessens, Nico Jacobs, 1998, ILP.

Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees

Kurt Driessens, Tim Brys, Ann Nowé, 2018, AAAI.

Combining model-based and instance-based learning for first order regression

Saso Dzeroski, Kurt Driessens, K. Driessens, 2005, BNAIC.

Largest Source Subset Selection for Instance Transfer

Ralf Peeters, Kurt Driessens, Gijs Schoenmakers, 2015, ACML.

Reinforcement Learning with the Use of Costly Features

Scott Sanner, Kurt Driessens, Robby Goetschalckx, 2008, EWRL.

Reliable power control for secondary users based on distributed measurements

Sofie Pollin, Kurt Driessens, Gitte Vanwinckelen, 2011, 2011 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN).

Automatic Transfer Between Negotiation Tasks

Gerhard Weiss, Kurt Driessens, Karl Tuyls, 2013 .

Factored four way conditional restricted Boltzmann machines for activity recognition

Haitham Bou-Ammar, Kurt Driessens, Karl Tuyls, 2015, Pattern Recognit. Lett..

Reinforcement learning transfer via sparse coding

Haitham Bou-Ammar, Matthew E. Taylor, Kurt Driessens, 2012, AAMAS.

First order models for the Predictive ToxicologyChallenge 2001

Wim Van Laer, Kurt Driessens, Jan Ramon, 2001 .

An automated measure of MDP similarity for transfer in reinforcement learning

Eric Eaton, Matthew E. Taylor, Kurt Driessens, 2014, AAAI 2014.

Testing exchangeability for transfer decision

Ralf Peeters, Kurt Driessens, Gijs Schoenmakers, 2017, Pattern Recognit. Lett..

A Non-parametric Conformity-Based Test for Transfer Decisions

Ralf Peeters, Kurt Driessens, Gijs Schoenmakers, 2015, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).

Rotation Forests

Russ Tedrake, R. Miikkulainen, Eric Wiewiora, 2010, Encyclopedia of Machine Learning.

Rank Correlation

Eyke Hüllermeier, Johannes Fürnkranz, Russ Tedrake, 2010, Encyclopedia of Machine Learning and Data Mining.

A quantum algorithm for track reconstruction in the LHCb vertex detector

K. Driessens, R. Westra, Miriam Lucio Martínez, 2023, ArXiv.

Searching for ring-like structures in the Cosmic Microwave Background

K. Driessens, G. Koekoek, P. Bonizzi, 2021, 2105.03990.

Concept for the Real-Time Monitoring of Molecular Configurations during Manipulation with a Scanning Probe Microscope

R. Findeisen, K. Driessens, Christian Wagner, 2023, The journal of physical chemistry. C, Nanomaterials and interfaces.

Representation Language

Russ Tedrake, R. Miikkulainen, Eric Wiewiora, 2010, Encyclopedia of Machine Learning.

Learning Relational Options for Inductive Transfer in Relational Reinforcement Learning

Maurice Bruynooghe, Kurt Driessens, Tom Croonenborghs, 2007, ILP.

A Wavelet-based Encoding for Neuroevolution

Jürgen Schmidhuber, Kurt Driessens, Jan Koutník, 2016, GECCO.

Prediction of Congested Traffic on the Critical Density Point Using Machine Learning and Decentralised Collaborating Cameras

Danny Weyns, Wouter Labeeuw, Tom Holvoet, 2009 .

Resubstitution Estimate

Russ Tedrake, R. Miikkulainen, Eric Wiewiora, 2010, Encyclopedia of Machine Learning.

Detection of atrial fibrillation episodes from short single lead recordings by means of ensemble learning

Joël M. H. Karel, Kurt Driessens, Pietro Bonizzi, 2017, 2017 Computing in Cardiology (CinC).

Cost-Sensitive Parsimonious Linear Regression

Scott Sanner, Kurt Driessens, Robby Goetschalckx, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Linear regression using costly features

Scott Sanner, Robby Goetschalckx, Kurt Driessens, 2008 .

Relational

Peter A. Flach, Wray L. Buntine, Russ Tedrake, 2010, Encyclopedia of Machine Learning.

Automatically Mapped Transfer between Reinforcement Learning Tasks via Three-Way Restricted Boltzmann Machines

Matthew E. Taylor, K. Tuyls, K. Driessens, 2013, ECML/PKDD.

Relational Reinforcement Learning

De, M Bruynooghe, K. Driessens, 2001, Encyclopedia of Machine Learning and Data Mining.