Denis Steckelmacher
Title
Cited by
Cited by
Year
Dynamic weights in multi-objective deep reinforcement learning
A Abels, D Roijers, T Lenaerts, A Now, D Steckelmacher
International Conference on Machine Learning, 11-20, 2019
352019
Multi-objective reinforcement learning for the expected utility of the return
DM Roijers, D Steckelmacher, A Now
Proceedings of the Adaptive and Learning Agents workshop at FAIM 2018, 2018
192018
Reinforcement learning in POMDPs with memoryless options and option-observation initiation sets
D Steckelmacher, DM Roijers, A Harutyunyan, P Vrancx, H Plisnier, ...
Thirty-second AAAI conference on artificial intelligence, 2018
122018
An empirical comparison of neural architectures for reinforcement learning in partially observable environments
D Steckelmacher, P Vrancx
arXiv preprint arXiv:1512.05509, 2015
52015
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics
D Steckelmacher, H Plisnier, DM Roijers, A Now
arXiv preprint arXiv:1903.04193, 2019
42019
Transfer Reinforcement Learning across Environment Dynamics with Multiple Advisors.
H Plisnier, D Steckelmacher, DM Roijers, A Now
BNAIC/BENELEARN, 2019
32019
The actor-advisor: Policy gradient with off-policy advice
H Plisnier, D Steckelmacher, DM Roijers, A Now
arXiv preprint arXiv:1902.02556, 2019
32019
Directed Policy Gradient for Safe Reinforcement Learning with Human Advice
H Plisnier, D Steckelmacher, T Brys, DM Roijers, A Now
arXiv preprint arXiv:1808.04096, 2018
12018
Sample-Efficient Reinforcement Learning for Continuous Actions with Continuous BDPI
D Steckelmacher, H Plisnier, A Now
Proc. of the 20th International Conference on Autonomous Agents and…, 2021
2021
Model-Free Reinforcement Learning for Real-World Robots
D Steckelmacher
University of Applied Sciences Utrecht, 2020
2020
Explainable Reinforcement Learning Through Goal-Based Interpretability
G Bonaert, Y Coppens, D Steckelmacher, A Nowe
2020
Synthesising Reinforcement Learning Policies Through Set-Valued Inductive Rule Learning.
Y Coppens, D Steckelmacher, CM Jonker, A Now
TAILOR, 163-179, 2020
2020
Transfer Learning Across Simulated Robots With Different Sensors
H Plisnier, D Steckelmacher, D Roijers, A Now
arXiv preprint arXiv:1907.07958, 2019
2019
A Motorized Wheelchair that Learns to Make its Way through a Crowd.
D Steckelmacher, H Plisnier, A Now
BNAIC/BENELEARN, 2019
2019
Off-Policy and Off-Actor Actor-Critic with Bootstrapped Dual Policy Iteration
D Steckelmacher, H Plisnier, D Roijers, A Nowe
European Workshop On Reinforcement Learning 14 (EWRL14), 2018
2018
Bootstrapped Dual Policy Iteration
D Steckelmacher, H Plisnier
2018
Python implementation of Option-Observation Initiation Sets
D Steckelmacher
2017
Hierarchical Reinforcement Learning for Robots in POMDPs with Option-Observation Initiation Sets
D Steckelmacher, H Plisnier, DM Roijers, A Now
Delft Workshop on Robot Learning, 2017
2017
Hierarchical Reinforcement Learning on Robots
D Steckelmacher, S Delvaux, A Nowe
2017
Hierarchical Reinforcement Learning with Option Observation Initiation Sets
D Steckelmacher, D Roijers, A Harutyunyan, P Vrancx, A Nowe
NSE PhD Day 2017, 2017
2017
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Articles 1–20