Kurt Driessens

发表

Graph kernels and Gaussian processes for relational reinforcement learning

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

Bayesian Real-Time Dynamic Programming

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

Using Weighted Nearest Neighbor to Benefit from Unlabeled Data

Kurt Driessens, Claire Leschi, Bernhard Pfahringer, 2006, PAKDD.

Relational Reinforcement Learning

Kurt Driessens, 2001, EASSS.

Relational Reinforcement Learning

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

Largest Source Subset Selection for Instance Transfer

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

Learning with Whom to Communicate Using Relational Reinforcement Learning

Eric O. Postma, H. Jaap van den Herik, Kurt Driessens, 2010, Interactive Collaborative Information Systems.

Adaptive Windowing for Online Learning from Multiple Inter-related Data Streams

Saso Dzeroski, João Gama, Kurt Driessens, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

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).

Contextual Encoder-Decoder Network for Visual Saliency Prediction

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

ECML Workshop on Machine Learning and Data Mining in Games

Kurt Driessens, Tom Croonenborghs, Olana Misura, 2011 .

Advances in Machine Learning, First Asian Conference on Machine Learning, ACML 2009, Nanjing, China, November 2-4, 2009. Proceedings

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

Introduction to the special issue dedicated to the Journal Track of ECML PKDD 2017

Myra Spiliopoulou, Kurt Driessens, Marko Robnik-Sikonja, 2017, Machine Learning.

The Leuven submission to the Benelearn-99 competition

Wim Van Laer, Kurt Driessens, Hendrik Blockeel, 1999 .

Learning digger using hierarchical reinforcement learning for concurrent goals

Kurt Driessens, Hendrik Blockeel, 2001 .

ROC Curve

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

Testing exchangeability for transfer decision

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

UMAP 2017 EdRecSys Workshop Organizers' Welcome & Organization

Irena Koprinska, Olga C. Santos, Kurt Driessens, 2017, UMAP.

Proceedings of the 25th Benelux Conference on Artificial Intelligence (BNAIC 2013)

Matthew E. Taylor, Kurt Driessens, Decebal Constantin Mocanu, 2013 .

Inductive verification and validation of multi agent systems

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

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

Haitham Bou-Ammar, Matthew E. Taylor, Kurt Driessens, 2013, ECML/PKDD.

Random Decision Forests

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

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

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

The dynamics of human behaviour in poker

Kurt Driessens, Jan Ramon, Karl Tuyls, 2008 .

Learning with Whom to Communicate Using Relational Reinforcement Learning

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

Monte-Carlo Tree Search in Poker Using Expected Reward Distributions

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

Using Decision Trees as the Answer Networks in Temporal Difference-Networks

Kurt Driessens, Jan Ramon, Laura Antanas, 2008, ECAI.

Cost-sensitive reinforcement learning

Kurt Driessens, Robby Goetschalckx, 2007 .

Receiver Operating Characteristic Analysis

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

A Generative Policy Gradient Approach for Learning to Play Text-Based Adventure Games

Kurt Driessens, René Raab, 2019, BNAIC/BENELEARN.

Factored four-way conditional restricted Boltzmann machines (FFW-CRBMs) for activity recognition

Kurt Driessens, Gerhard Weiss, Karl Tuyls, 2015 .

Discovering Hidden Course Requirements and Student Competences from Grade Data

Kurt Driessens, Chang Sun, Evgueni N. Smirnov, 2017, UMAP.

Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling

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

Automatic Transfer Between Negotiation Tasks

Gerhard Weiss, Kurt Driessens, Karl Tuyls, 2013 .

Meta-learning from an experiment database

Kurt Driessens, Hendrik Blockeel, Gitte Vanwinckelen, 2012 .

Bayes-relational opponent modeling in poker

Kurt Driessens, Jan Ramon, Karl Tuyls, 2008 .

On using guidance in relational reinforcement learning

Saso Dzeroski, Kurt Driessens, 2002 .

Graph kernels and Gaussian processes for relational reinforcement learning

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

Factored four way conditional restricted Boltzmann machines for activity recognition

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

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

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

A Wavelet-based Encoding for Neuroevolution

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

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

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

Proceedings of the Autonomous Learning Agents (ALA) workshop at AAMAS 2013

Gerhard Weiss, Kurt Driessens, Karl Tuyls, 2013 .

Relational Reinforcement Learning

Kurt Driessens, 2017, Encyclopedia of Machine Learning and Data Mining.

Integrating Experimentation and Guidance in Relational Reinforcement Learning

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

Reinforcement learning transfer via sparse coding

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

Non-disjount modular boosted policies

Kurt Driessens, 2009 .

A Data Driven Similarity Measure and Example Mapping Function for General, Unlabelled Data Sets

Kurt Driessens, Damien Lejeune, 2016, ECAI.

Reinforcement Learning with the Use of Costly Features

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

Using the online cross-entropy method to learn relational policies for playing different games

Kurt Driessens, Tony Smith, Bernhard Pfahringer, 2011, 2011 IEEE Conference on Computational Intelligence and Games (CIG'11).

Inductive Verification and Validation of the KULRoT RoboCup Team

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

Relational Instance Based Regression for Relational Reinforcement Learning

Kurt Driessens, Jan Ramon, 2003, ICML.

An automated measure of MDP similarity for transfer in reinforcement learning

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

Reinforcement Learning with the Use of Costly Features

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

First order models for the predictive toxicology challenge

Wim Van Laer, Kurt Driessens, Hendrik Blockeel, 2001 .

Thesis: relational reinforcement learning

Kurt Driessens, 2005 .

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

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

Radial Basis Function Neural Networks

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

Learning a transfer function for reinforcement learning problems

Maurice Bruynooghe, Kurt Driessens, Tom Croonenborghs, 2008, AAAI 2008.

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

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

Workshop on Rich Representations for Reinforcement Learning : Held in conjunction with the 22nd International Conference on Machine Learning, August 7, 2005, Bonn, Germany

Alan Fern, Kurt Driessens, Martijn van Otterlo, 2005 .

Simultaneous Ensemble Generation and Hyperparameter Optimization for Regression

Kurt Driessens, Pieter Collins, David Roschewitz, 2017, BNCAI.

Predicting Pseudo-Random Behaviour in Professional Sports

Kurt Driessens, Manuel Kauschinger, 2014 .

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).

Introduction to the special issue dedicated to the Journal Track of ECML PKDD 2017

Myra Spiliopoulou, Kurt Driessens, Marko Robnik-Sikonja, 2017, Data Mining and Knowledge Discovery.

Real-time Bayesian Search Control for MDPs

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

Cost-Sensitive Parsimonious Linear Regression

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

Bayes-Relational Learning of Opponent Models from Incomplete Information in No-Limit Poker

Kurt Driessens, Jan Ramon, Karl Tuyls, 2008, AAAI.

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).

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

Danny Weyns, Wouter Labeeuw, Tom Holvoet, 2009 .

A Direct Policy-Search Algorithm for Relational Reinforcement Learning

Kurt Driessens, Tony Smith, Bernhard Pfahringer, 2013, ILP.

Learning Relational Options for Inductive Transfer in Relational Reinforcement Learning

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

Relational Reinforcement Learning

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

Integrating Guidance into Relational Reinforcement Learning

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

Biologically Inspired Semantic Lateral Connectivity for Convolutional Neural Networks pdf

Kurt Driessens, Gerhard Weiss, Mario Senden, 2021, ArXiv.

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

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

First order models for the Predictive ToxicologyChallenge 2001

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

On Using Guidan e in Relational Reinfor ement Learning

Kurt Driessens, 2004 .