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2020 – today
- 2023
[j6]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): 3621-3644 (2023)- 2020
- [i5]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 abs/2007.01544 (2020)
2010 – 2019
- 2019
- [j5]Mao Li, Tim Brys, Daniel Kudenko:
Introspective Q-learning and learning from demonstration. Knowl. Eng. Rev. 34: e8 (2019) - 2018
- [c28]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: 7831-7836 - [c27]Mao Li, Tim Brys, Daniel Kudenko:
Introspective Reinforcement Learning and Learning from Demonstration. AAMAS 2018: 1992-1994 - [i4]Hélène Plisnier, Denis Steckelmacher, Tim Brys, Diederik M. Roijers, Ann Nowé:
Directed Policy Gradient for Safe Reinforcement Learning with Human Advice. CoRR abs/1808.04096 (2018) - 2017
- [j4]Tim Brys, Anna Harutyunyan, Peter Vrancx, Ann Nowé, Matthew E. Taylor:
Multi-objectivization and ensembles of shapings in reinforcement learning. Neurocomputing 263: 48-59 (2017) - [j3]Daan Bloembergen, Tim Brys, Logan Yliniemi:
Preface to the special issue: adaptive and learning agents. Knowl. Eng. Rev. 32: e17 (2017) - 2016
- [c26]William Curran, Tim Brys, David W. Aha, Matthew E. Taylor, William D. Smart:
Dimensionality Reduced Reinforcement Learning for Assistive Robots. AAAI Fall Symposia 2016 - [c25]Halit Bener Suay, Tim Brys, Matthew E. Taylor, Sonia Chernova:
Learning from Demonstration for Shaping through Inverse Reinforcement Learning. AAMAS 2016: 429-437 - [c24]Ann Nowé, Tim Brys:
A Gentle Introduction to Reinforcement Learning. SUM 2016: 18-32 - 2015
- [c23]Tim Brys, Anna Harutyunyan, Matthew E. Taylor, Ann Nowé:
Policy Transfer using Reward Shaping. AAMAS 2015: 181-188 - [c22]Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé:
Multi-Scale Reward Shaping via an Off-Policy Ensemble. AAMAS 2015: 1641-1642 - [c21]Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé:
Shaping Mario with Human Advice. AAMAS 2015: 1913-1914 - [c20]Kristof Van Moffaert, Tim Brys, Ann Nowé:
Risk-sensitivity through multi-objective reinforcement learning. CEC 2015: 1746-1753 - [c19]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: 1769-1775 - [c18]Tim Brys, Anna Harutyunyan, Halit Bener Suay, Sonia Chernova, Matthew E. Taylor, Ann Nowé:
Reinforcement Learning from Demonstration through Shaping. IJCAI 2015: 3352-3358 - [c17]Tim Brys:
Encoding and Combining Knowledge to Speed up Reinforcement Learning. IJCAI 2015: 4347-4348 - [c16]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: 1169-1176 - [i3]Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé:
Off-Policy Reward Shaping with Ensembles. CoRR abs/1502.03248 (2015) - [i2]William Curran, Tim Brys, Matthew E. Taylor, William D. Smart:
Using PCA to Efficiently Represent State Spaces. CoRR abs/1505.00322 (2015) - 2014
- [j2]Tim Brys, John Doucette, Taraneh Khazaei, Ran Taig:
Student travel award recipients for the 2014 AAAI/SIGAI doctoral consortium. AI Matters 1(2): 17-18 (2014) - [j1]Tim Brys, Tong T. Pham, Matthew E. Taylor:
Distributed learning and multi-objectivity in traffic light control. Connect. Sci. 26(1): 65-83 (2014) - [c15]Tim Brys, Ann Nowé, Daniel Kudenko, Matthew E. Taylor:
Combining Multiple Correlated Reward and Shaping Signals by Measuring Confidence. AAAI 2014: 1687-1693 - [c14]Tim Brys, Ann Nowé:
Reinforcement Learning on Multiple Correlated Signals. AAAI 2014: 3065-3066 - [c13]Tim Brys, Kristof Van Moffaert, Ann Nowé, Matthew E. Taylor:
Adaptive objective selection for correlated objectives in multi-objective reinforcement learning. AAMAS 2014: 1349-1350 - [c12]Steven Adriaensen, Tim Brys, Ann Nowé:
Designing reusable metaheuristic methods: A semi-automated approach. IEEE Congress on Evolutionary Computation 2014: 2969-2976 - [c11]Tim Brys, Matthew E. Taylor, Ann Nowé:
Using Ensemble Techniques and Multi-Objectivization to Solve Reinforcement Learning Problems. ECAI 2014: 981-982 - [c10]Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé:
Off-Policy Shaping Ensembles in Reinforcement Learning. ECAI 2014: 1021-1022 - [c9]Steven Adriaensen, Tim Brys, Ann Nowé:
Fair-share ILS: a simple state-of-the-art iterated local search hyperheuristic. GECCO 2014: 1303-1310 - [c8]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: 2306-2314 - [c7]Tim Brys, Anna Harutyunyan, Peter Vrancx, Matthew E. Taylor, Daniel Kudenko, Ann Nowé:
Multi-objectivization of reinforcement learning problems by reward shaping. IJCNN 2014: 2315-2322 - [i1]Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé:
Off-Policy Shaping Ensembles in Reinforcement Learning. CoRR abs/1405.5358 (2014) - 2013
- [c6]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: 1060-1067 - [c5]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: 1125-1132 - [c4]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: 52-59 - [c3]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: 258-263 - 2012
- [c2]Tim Brys, Ann Nowé:
Improving Convergence of CMA-ES Through Structure-Driven Discrete Recombination. AAAI 2012: 2415-2416 - 2011
- [c1]Tim Brys, Yann-Michaël De Hauwere, Ann Nowé, Peter Vrancx:
Local Coordination in Online Distributed Constraint Optimization Problems. EUMAS 2011: 31-47
Coauthor Index
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