Denis Steckelmacher

Orcid: 0000-0003-1521-8494

According to our database1, Denis Steckelmacher authored at least 18 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Optimistic Reinforcement Learning-Based Skill Insertions for Task and Motion Planning.
IEEE Robotics Autom. Lett., June, 2024

2023
Actor-critic multi-objective reinforcement learning for non-linear utility functions.
Auton. Agents Multi Agent Syst., October, 2023

Synergistic Task and Motion Planning With Reinforcement Learning-Based Non-Prehensile Actions.
IEEE Robotics Autom. Lett., May, 2023

Dynamic Size Message Scheduling for Multi-Agent Communication under Limited Bandwidth.
CoRR, 2023

Transferring Multiple Policies to Hotstart Reinforcement Learning in an Air Compressor Management Problem.
CoRR, 2023

2022
Fast Initialization of Control Parameters using Supervised Learning on Data from Similar Assets.
Proceedings of the IEEE Conference on Control Technology and Applications, 2022

2021
MoveRL: To a Safer Robotic Reinforcement Learning Environment.
Proceedings of the Artificial Intelligence and Machine Learning, 2021

2020
Synthesising Reinforcement Learning Policies Through Set-Valued Inductive Rule Learning.
Proceedings of the Trustworthy AI - Integrating Learning, Optimization and Reasoning, 2020

2019
Transfer Learning Across Simulated Robots With Different Sensors.
CoRR, 2019

The Actor-Advisor: Policy Gradient With Off-Policy Advice.
CoRR, 2019

Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Dynamic Weights in Multi-Objective Deep Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

A Motorized Wheelchair that Learns to Make its Way through a Crowd.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

Transfer Reinforcement Learning across Environment Dynamics with Multiple Advisors.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018
Directed Policy Gradient for Safe Reinforcement Learning with Human Advice.
CoRR, 2018

Reinforcement Learning in POMDPs With Memoryless Options and Option-Observation Initiation Sets.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Reinforcement Learning in POMDPs with Memoryless Options and Option-Observation Initiation Sets.
CoRR, 2017

2015
An Empirical Comparison of Neural Architectures for Reinforcement Learning in Partially Observable Environments.
CoRR, 2015


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