Tim Brys - RankMe

39 papers A* 6A 10B 6C 1Journal 11Unranked 5

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