Tim Brys

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 21

Top Topics

Reinforcement Learning

Top Venues

Publications

Adam Bignold, Francisco Cruz, Matthew E. Taylor, Tim Brys, Richard Dazeley, Peter Vamplew, Cameron Foale
A conceptual framework for externally-influenced agents: an assisted reinforcement learning review. J. Ambient Intell. Humaniz. Comput. 14 (4) (2023)
Adam Bignold, Francisco Cruz, Matthew E. Taylor, Tim Brys, Richard Dazeley, Peter Vamplew, Cameron Foale
A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review. CoRR (2020)
Mao Li, Tim Brys, Daniel Kudenko
Introspective Q-learning and learning from demonstration. Knowl. Eng. Rev. 34 (2019)
Hélène Plisnier, Denis Steckelmacher, Tim Brys, Diederik M. Roijers, Ann Nowé
Directed Policy Gradient for Safe Reinforcement Learning with Human Advice. CoRR (2018)
Mao Li, Tim Brys, Daniel Kudenko
Introspective Reinforcement Learning and Learning from Demonstration. AAMAS (2018)
Dennis J. N. J. Soemers, Tim Brys, Kurt Driessens, Mark H. M. Winands, Ann Nowé
Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees. AAAI (2018)
Tim Brys, Anna Harutyunyan, Peter Vrancx, Ann Nowé, Matthew E. Taylor
Multi-objectivization and ensembles of shapings in reinforcement learning. Neurocomputing 263 (2017)
Daan Bloembergen, Tim Brys, Logan Yliniemi
Preface to the special issue: adaptive and learning agents. Knowl. Eng. Rev. 32 (2017)
William Curran, Tim Brys, David W. Aha, Matthew E. Taylor, William D. Smart
Dimensionality Reduced Reinforcement Learning for Assistive Robots. AAAI Fall Symposia (2016)
Halit Bener Suay, Tim Brys, Matthew E. Taylor, Sonia Chernova
Learning from Demonstration for Shaping through Inverse Reinforcement Learning. AAMAS (2016)
Ann Nowé, Tim Brys
A Gentle Introduction to Reinforcement Learning. SUM (2016)
Kristof Van Moffaert, Tim Brys, Ann Nowé
Risk-sensitivity through multi-objective reinforcement learning. CEC (2015)
Ivomar Brito Soares, Yann-Michaël De Hauwere, Kris Januarius, Tim Brys, Thierry Salvant, Ann Nowé
Departure MANagement with a Reinforcement Learning Approach: Respecting CFMU Slots. ITSC (2015)
Tim Brys, Anna Harutyunyan, Matthew E. Taylor, Ann Nowé
Policy Transfer using Reward Shaping. AAMAS (2015)
Tim Brys, Anna Harutyunyan, Halit Bener Suay, Sonia Chernova, Matthew E. Taylor, Ann Nowé
Reinforcement Learning from Demonstration through Shaping. IJCAI (2015)
Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé
Shaping Mario with Human Advice. AAMAS (2015)
Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé
Multi-Scale Reward Shaping via an Off-Policy Ensemble. AAMAS (2015)
S. Rodrigues, Rodrigo Teixeira Pinto, Pavol Bauer, Tim Brys, Ann Nowé
Online Distributed Voltage Control of an offshore MTdc network using reinforcement learning. CEC (2015)
William Curran, Tim Brys, Matthew E. Taylor, William D. Smart
Using PCA to Efficiently Represent State Spaces. CoRR (2015)
Tim Brys
Encoding and Combining Knowledge to Speed up Reinforcement Learning. IJCAI (2015)
Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé
Off-Policy Reward Shaping with Ensembles. CoRR (2015)
Tim Brys, Tong T. Pham, Matthew E. Taylor
Distributed learning and multi-objectivity in traffic light control. Connect. Sci. 26 (1) (2014)
Tim Brys, John Doucette, Taraneh Khazaei, Ran Taig
Student travel award recipients for the 2014 AAAI/SIGAI doctoral consortium. AI Matters 1 (2) (2014)
Tim Brys, Kristof Van Moffaert, Ann Nowé, Matthew E. Taylor
Adaptive objective selection for correlated objectives in multi-objective reinforcement learning. AAMAS (2014)
Tim Brys, Ann Nowé, Daniel Kudenko, Matthew E. Taylor
Combining Multiple Correlated Reward and Shaping Signals by Measuring Confidence. AAAI (2014)
Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé
Off-Policy Shaping Ensembles in Reinforcement Learning. CoRR (2014)
Tim Brys, Anna Harutyunyan, Peter Vrancx, Matthew E. Taylor, Daniel Kudenko, Ann Nowé
Multi-objectivization of reinforcement learning problems by reward shaping. IJCNN (2014)
Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé
Off-Policy Shaping Ensembles in Reinforcement Learning. ECAI (2014)
Kristof Van Moffaert, Tim Brys, Arjun Chandra, Lukas Esterle, Peter R. Lewis, Ann Nowé
A novel adaptive weight selection algorithm for multi-objective multi-agent reinforcement learning. IJCNN (2014)
Steven Adriaensen, Tim Brys, Ann Nowé
Designing reusable metaheuristic methods: A semi-automated approach. IEEE Congress on Evolutionary Computation (2014)
Tim Brys, Ann Nowé
Reinforcement Learning on Multiple Correlated Signals. AAAI (2014)
Tim Brys, Matthew E. Taylor, Ann Nowé
Using Ensemble Techniques and Multi-Objectivization to Solve Reinforcement Learning Problems. ECAI (2014)
Steven Adriaensen, Tim Brys, Ann Nowé
Fair-share ILS: a simple state-of-the-art iterated local search hyperheuristic. GECCO (2014)
Tim Brys, Madalina M. Drugan, Peter A. N. Bosman, Martine De Cock, Ann Nowé
Solving satisfiability in fuzzy logics by mixing CMA-ES. GECCO (2013)
Tim Brys, Madalina M. Drugan, Peter A. N. Bosman, Martine De Cock, Ann Nowé
Local search and restart strategies for satisfiability solving in fuzzy logics. GEFS (2013)
Tim Brys, Madalina M. Drugan, Ann Nowé
Meta-Evolutionary Algorithms and recombination operators for satisfiability solving in fuzzy logics. IEEE Congress on Evolutionary Computation (2013)
Tim Brys, Kristof Van Moffaert, Kevin Van Vaerenbergh, Ann Nowé
On the Behaviour of Scalarization Methods for the Engagement of a Wet Clutch. ICMLA (1) (2013)
Tim Brys, Ann Nowé
Improving Convergence of CMA-ES Through Structure-Driven Discrete Recombination. AAAI (2012)
Tim Brys, Yann-Michaël De Hauwere, Ann Nowé, Peter Vrancx
Local Coordination in Online Distributed Constraint Optimization Problems. EUMAS (2011)