Marco Wiering
Rijksuniversiteit Groningen
H-index: 44
Europe-Netherlands
Top articles of Marco Wiering
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Multi-source transfer learning for deep model-based reinforcement learning | arXiv preprint arXiv:2205.14410 | Remo Sasso Matthia Sabatelli Marco A Wiering | 2022/5/28 |
The Web-Graph: Clustering, Collecting & Classifying | Ivo Jong | 2021 | |
Deep learning for identification of acute illness and facial cues of illness | Frontiers in medicine | Castela Forte Andrei Voinea Malina Chichirau Galiya Yeshmagambetova Lea M Albrecht | 2021/7/26 |
LemgoRL: An open-source benchmark tool to train reinforcement learning agents for traffic signal control in a real-world simulation scenario | Arthur Müller Vishal Rangras Georg Schnittker Michael Waldmann Maxim Friesen | 2021/3/30 | |
Decoupling state representation methods from reinforcement learning in car racing | Juan M Montoya Imant Daunhawer Julia E Vogt Marco Wiering | 2021 | |
Explainable reinforcement learning with the tsetlin machine | Saeed Rahimi Gorji Ole-Christoffer Granmo Marco Wiering | 2021/7/19 | |
An Investigation Into the Effect of the Learning Rate on Overestimation Bias of Connectionist Q-learning. | Yifei Chen Lambert Schomaker Marco A Wiering | 2021/2/10 | |
Semantic Preserving Siamese Autoencoder for Binary Quantization of Word Embeddings | Wouter Mostard Lambert Schomaker Marco Wiering | 2021/12/17 | |
Reinforcement learning with potential functions trained to discriminate good and bad states | Yifei Chen Hamidreza Kasaei Lambert Schomaker Marco Wiering | 2021/7/18 | |
Ensemble machine learning prediction and variable importance analysis of 5-year mortality after cardiac valve and CABG operations | Scientific reports | José Castela Forte Hubert E Mungroop Fred de Geus Maureen L van der Grinten Hjalmar R Bouma | 2021/2/10 |
Variation-resistant Q-learning: Controlling and Utilizing Estimation Bias in Reinforcement Learning for Better Performance. | Andreas Pentaliotis Marco A Wiering | 2021 | |
Towards real-world deployment of reinforcement learning for traffic signal control | Arthur Müller Vishal Rangras Tobias Ferfers Florian Hufen Lukas Schreckenberg | 2021/12/13 | |
CentroidNetV2: A hybrid deep neural network for small-object segmentation and counting | Neurocomputing | Klaas Dijkstra Jaap van de Loosdrecht Waatze A Atsma Lambert RB Schomaker Marco A Wiering | 2021/1/29 |
Explainable Reinforcement Learning for Longitudinal Control. | Roman Liessner Jan Dohmen Marco A Wiering | 2021 | |
Active learning for reducing labeling effort in text classification tasks | Pieter Floris Jacobs Gideon Maillette de Buy Wenniger Marco Wiering Lambert Schomaker | 2021/11/10 | |
Identifying and characterizing high-risk clusters in a heterogeneous ICU population with deep embedded clustering | Scientific reports | José Castela Forte Galiya Yeshmagambetova Maureen L van der Grinten Bart Hiemstra Thomas Kaufmann | 2021/6/8 |
Fractional transfer learning for deep model-based reinforcement learning | arXiv preprint arXiv:2108.06526 | Remo Sasso Matthia Sabatelli Marco A Wiering | 2021/8/14 |
Two-stage visual navigation by deep neural networks and multi-goal reinforcement learning | Robotics and Autonomous Systems | Amirhossein Shantia Rik Timmers Yiebo Chong Cornel Kuiper Francesco Bidoia | 2021/4/1 |
Towards Delivering a Coherent Self-Contained Explanation of Proximal Policy Optimization | Daniel Bick | 2021 | |
One-vs-One classification for deep neural networks | Pattern Recognition | Pornntiwa Pawara Emmanuel Okafor Marc Groefsema Sheng He Lambert RB Schomaker | 2020/12/1 |
Co-Authors
