Denis Steckelmacher

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 22

Top Topics

Policy Gradient

Reinforcement Learning

Behavioural Cloning

Neural Architectures

Top Venues

BNAIC/BENELEARN

IEEE Robotics Autom. Lett.

Auton. Agents Multi Agent Syst.

Publications

Gaoyuan Liu, Joris De Winter, Yuri Durodié, Denis Steckelmacher, Ann Nowé, Bram Vanderborght
Optimistic Reinforcement Learning-Based Skill Insertions for Task and Motion Planning. IEEE Robotics Autom. Lett. 9 (6) (2024)
Gaoyuan Liu, Joris De Winter, Denis Steckelmacher, Roshan Kumar Hota, Ann Nowé, Bram Vanderborght
Synergistic Task and Motion Planning With Reinforcement Learning-Based Non-Prehensile Actions. IEEE Robotics Autom. Lett. 8 (5) (2023)
Mathieu Reymond, Conor F. Hayes, Denis Steckelmacher, Diederik M. Roijers, Ann Nowé
Actor-critic multi-objective reinforcement learning for non-linear utility functions. Auton. Agents Multi Agent Syst. 37 (2) (2023)
Hélène Plisnier, Denis Steckelmacher, Jeroen Willems, Bruno Depraetere, Ann Nowé
Transferring Multiple Policies to Hotstart Reinforcement Learning in an Air Compressor Management Problem. CoRR (2023)
Qingshuang Sun, Denis Steckelmacher, Yuan Yao, Ann Nowé, Raphaël Avalos
Dynamic Size Message Scheduling for Multi-Agent Communication under Limited Bandwidth. CoRR (2023)
Jeroen Willems, Kerem Eryilmaz, Denis Steckelmacher, Bruno Depraetere, Rian Beck, Abdellatif Bey-Temsamani, Jan Helsen, Ann Nowé
Fast Initialization of Control Parameters using Supervised Learning on Data from Similar Assets. CCTA (2022)
Youri Coppens, Denis Steckelmacher, Catholijn M. Jonker, Ann Nowé
Synthesising Reinforcement Learning Policies through Set-Valued Inductive Rule Learning. CoRR (2021)
Gaoyuan Liu, Joris De Winter, Bram Vanderborght, Ann Nowé, Denis Steckelmacher
MoveRL: To a Safer Robotic Reinforcement Learning Environment. BNAIC/BENELEARN (2021)
Youri Coppens, Denis Steckelmacher, Catholijn M. Jonker, Ann Nowé
Synthesising Reinforcement Learning Policies Through Set-Valued Inductive Rule Learning. TAILOR (2020)
Denis Steckelmacher, Hélène Plisnier, Diederik M. Roijers, Ann Nowé
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics. CoRR (2019)
Hélène Plisnier, Denis Steckelmacher, Diederik M. Roijers, Ann Nowé
The Actor-Advisor: Policy Gradient With Off-Policy Advice. CoRR (2019)
Hélène Plisnier, Denis Steckelmacher, Diederik M. Roijers, Ann Nowé
Transfer Learning Across Simulated Robots With Different Sensors. CoRR (2019)
Denis Steckelmacher, Hélène Plisnier, Diederik M. Roijers, Ann Nowé
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics. ECML/PKDD (3) (2019)
Axel Abels, Diederik M. Roijers, Tom Lenaerts, Ann Nowé, Denis Steckelmacher
Dynamic Weights in Multi-Objective Deep Reinforcement Learning. ICML (2019)
Denis Steckelmacher, Hélène Plisnier, Ann Nowé
A Motorized Wheelchair that Learns to Make its Way through a Crowd. BNAIC/BENELEARN (2019)
Hélène Plisnier, Denis Steckelmacher, Diederik M. Roijers, Ann Nowé
Transfer Reinforcement Learning across Environment Dynamics with Multiple Advisors. BNAIC/BENELEARN (2019)
Denis Steckelmacher, Hélène Plisnier, Diederik M. Roijers, Ann Nowé
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics. BNAIC/BENELEARN (2019)
Denis Steckelmacher, Diederik M. Roijers, Anna Harutyunyan, Peter Vrancx, Hélène Plisnier, Ann Nowé
Reinforcement Learning in POMDPs With Memoryless Options and Option-Observation Initiation Sets. AAAI (2018)
Axel Abels, Diederik M. Roijers, Tom Lenaerts, Ann Nowé, Denis Steckelmacher
Dynamic Weights in Multi-Objective Deep Reinforcement Learning. CoRR (2018)
Hélène Plisnier, Denis Steckelmacher, Tim Brys, Diederik M. Roijers, Ann Nowé
Directed Policy Gradient for Safe Reinforcement Learning with Human Advice. CoRR (2018)
Denis Steckelmacher, Diederik M. Roijers, Anna Harutyunyan, Peter Vrancx, Ann Nowé
Reinforcement Learning in POMDPs with Memoryless Options and Option-Observation Initiation Sets. CoRR (2017)
Denis Steckelmacher, Peter Vrancx
An Empirical Comparison of Neural Architectures for Reinforcement Learning in Partially Observable Environments. CoRR (2015)