Tim Brys

According to our database, Tim Brys authored at least 37 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A conceptual framework for externally-influenced agents: an assisted reinforcement learning review.

Adam Bignold, Francisco Cruz, Matthew E. Taylor, Tim Brys, Richard Dazeley, Peter Vamplew, Cameron Foale

J. Ambient Intell. Humaniz. Comput., 2023

2019

Introspective Q-learning and learning from demonstration.

Mao Li, Tim Brys, Daniel Kudenko

Knowl. Eng. Rev., 2019

2018

Directed Policy Gradient for Safe Reinforcement Learning with Human Advice.

Hélène Plisnier, Denis Steckelmacher, Tim Brys, Diederik M. Roijers, Ann Nowé

CoRR, 2018

Introspective Reinforcement Learning and Learning from Demonstration.

Mao Li, Tim Brys, Daniel Kudenko

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

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

Dennis J. N. J. Soemers, Tim Brys, Kurt Driessens, Mark H. M. Winands, Ann Nowé

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Preface to the special issue: adaptive and learning agents.

Daan Bloembergen, Tim Brys, Logan Yliniemi

Knowl. Eng. Rev., 2017

Multi-objectivization and ensembles of shapings in reinforcement learning.

Tim Brys, Anna Harutyunyan, Peter Vrancx, Ann Nowé, Matthew E. Taylor

Neurocomputing, 2017

2016

A Gentle Introduction to Reinforcement Learning.

Ann Nowé, Tim Brys

Proceedings of the Scalable Uncertainty Management - 10th International Conference, 2016

Learning from Demonstration for Shaping through Inverse Reinforcement Learning.

Halit Bener Suay, Tim Brys, Matthew E. Taylor, Sonia Chernova

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Dimensionality Reduced Reinforcement Learning for Assistive Robots.

William Curran, Tim Brys, David W. Aha, Matthew E. Taylor, William D. Smart

Proceedings of the 2016 AAAI Fall Symposia, Arlington, Virginia, USA, November 17-19, 2016, 2016

2015

Off-Policy Reward Shaping with Ensembles.

Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé

CoRR, 2015

Using PCA to Efficiently Represent State Spaces.

William Curran, Tim Brys, Matthew E. Taylor, William D. Smart

CoRR, 2015

Departure MANagement with a Reinforcement Learning Approach: Respecting CFMU Slots.

Ivomar Brito Soares, Yann-Michaël De Hauwere, Kris Januarius, Tim Brys, Thierry Salvant, Ann Nowé

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Reinforcement Learning from Demonstration through Shaping.

Tim Brys, Anna Harutyunyan, Halit Bener Suay, Sonia Chernova, Matthew E. Taylor, Ann Nowé

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Encoding and Combining Knowledge to Speed up Reinforcement Learning.

Tim Brys

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Online Distributed Voltage Control of an offshore MTdc network using reinforcement learning.

S. Rodrigues, Rodrigo Teixeira Pinto, Pavol Bauer, Tim Brys, Ann Nowé

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Risk-sensitivity through multi-objective reinforcement learning.

Kristof Van Moffaert, Tim Brys, Ann Nowé

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Shaping Mario with Human Advice.

Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Multi-Scale Reward Shaping via an Off-Policy Ensemble.

Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Policy Transfer using Reward Shaping.

Tim Brys, Anna Harutyunyan, Matthew E. Taylor, Ann Nowé

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014

Distributed learning and multi-objectivity in traffic light control.

Tim Brys, Tong T. Pham, Matthew E. Taylor

Connect. Sci., 2014

Student travel award recipients for the 2014 AAAI/SIGAI doctoral consortium.

Tim Brys, John Doucette, Taraneh Khazaei, Ran Taig

AI Matters, 2014

A novel adaptive weight selection algorithm for multi-objective multi-agent reinforcement learning.

Kristof Van Moffaert, Tim Brys, Arjun Chandra, Lukas Esterle, Peter R. Lewis, Ann Nowé

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Multi-objectivization of reinforcement learning problems by reward shaping.

Tim Brys, Anna Harutyunyan, Peter Vrancx, Matthew E. Taylor, Daniel Kudenko, Ann Nowé

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Fair-share ILS: a simple state-of-the-art iterated local search hyperheuristic.

Steven Adriaensen, Tim Brys, Ann Nowé

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Off-Policy Shaping Ensembles in Reinforcement Learning.

Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Using Ensemble Techniques and Multi-Objectivization to Solve Reinforcement Learning Problems.

Tim Brys, Matthew E. Taylor, Ann Nowé

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Designing reusable metaheuristic methods: A semi-automated approach.

Steven Adriaensen, Tim Brys, Ann Nowé

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Adaptive objective selection for correlated objectives in multi-objective reinforcement learning.

Tim Brys, Kristof Van Moffaert, Ann Nowé, Matthew E. Taylor

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Combining Multiple Correlated Reward and Shaping Signals by Measuring Confidence.

Tim Brys, Ann Nowé, Daniel Kudenko, Matthew E. Taylor

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Reinforcement Learning on Multiple Correlated Signals.

Tim Brys, Ann Nowé

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

On the Behaviour of Scalarization Methods for the Engagement of a Wet Clutch.

Tim Brys, Kristof Van Moffaert, Kevin Van Vaerenbergh, Ann Nowé

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Local search and restart strategies for satisfiability solving in fuzzy logics.

Tim Brys, Madalina M. Drugan, Peter A. N. Bosman, Martine De Cock, Ann Nowé

Proceedings of the 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2013

Solving satisfiability in fuzzy logics by mixing CMA-ES.

Tim Brys, Madalina M. Drugan, Peter A. N. Bosman, Martine De Cock, Ann Nowé

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Meta-Evolutionary Algorithms and recombination operators for satisfiability solving in fuzzy logics.

Tim Brys, Madalina M. Drugan, Ann Nowé

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

Improving Convergence of CMA-ES Through Structure-Driven Discrete Recombination.

Tim Brys, Ann Nowé

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Local Coordination in Online Distributed Constraint Optimization Problems.

Tim Brys, Yann-Michaël De Hauwere, Ann Nowé, Peter Vrancx

Proceedings of the Multi-Agent Systems - 9th European Workshop, 2011