Simon Vanneste

According to our database, Simon Vanneste authored at least 21 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

An In-Depth Analysis of Discretization Methods for Communication Learning using Backpropagation with Multi-Agent Reinforcement Learning.

Astrid Vanneste, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx

CoRR, 2023

Scalability of Message Encoding Techniques for Continuous Communication Learned with Multi-Agent Reinforcement Learning.

Astrid Vanneste, Thomas Somers, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx

CoRR, 2023

2022

An Analysis of Discretization Methods for Communication Learning with Multi-Agent Reinforcement Learning.

Astrid Vanneste, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Steven Latré, Peter Hellinckx

CoRR, 2022

Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways.

Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Robin Janssens, Mattias Billast, Ali Anwar, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx

Proceedings of the IECON 2022, 2022

Object Detection To Enable Autonomous Vessels On European Inland Waterways.

Mattias Billast, Robin Janssens, Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Ali Anwar, Kevin Mets, Tom De Schepper, José Oramas, Steven Latré, Peter Hellinckx

Proceedings of the IECON 2022, 2022

Autonomous Navigation Using Model-Based Reinforcement Learning.

Siemen Herremans, Jens de Hoog, Simon Vanneste, Dieter Balemans, Ali Anwar, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2022

2021

Vehicular Communication Management Framework: A Flexible Hybrid Connectivity Platform for CCAM Services.

Dries Naudts, Vasilis Maglogiannis, Seilendria A. Hadiwardoyo, Daniel van den Akker, Simon Vanneste, Siegfried Mercelis, Peter Hellinckx, Bart Lannoo, Johann Márquez-Barja, Ingrid Moerman

Future Internet, 2021

Mixed Cooperative-Competitive Communication Using Multi-agent Reinforcement Learning.

Astrid Vanneste, Wesley Van Wijnsberghe, Simon Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2021

Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System.

Simon Vanneste, Gauthier de Borrekens, Stig Bosmans, Astrid Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2021

Transfer Learning in Autonomous Driving Using Real-World Samples.

Arne Troch, Jens de Hoog, Simon Vanneste, Dieter Balemans, Steven Latré, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2021

2020

DUST Initializr - Graph-based platform for designing modules and applications in the revised DUST framework.

Thomas Huybrechts, Reinout Eyckerman, Raf Van den Langenbergh, Simon Vanneste, Siegfried Mercelis, Peter Hellinckx

Internet Things, 2020

Designing resource-constrained neural networks using neural architecture search targeting embedded devices.

Thomas Cassimon, Simon Vanneste, Stig Bosmans, Siegfried Mercelis, Peter Hellinckx

Internet Things, 2020

Resource efficient sensor fusion by knowledge-based network pruning.

Dieter Balemans, Wim Casteels, Simon Vanneste, Jens de Hoog, Siegfried Mercelis, Peter Hellinckx

Internet Things, 2020

Learning to Communicate Using Counterfactual Reasoning.

Simon Vanneste, Astrid Vanneste, Siegfried Mercelis, Peter Hellinckx

CoRR, 2020

2019

Distributed Uniform Streaming Framework: An Elastic Fog Computing Platform for Event Stream Processing and Platform Transparency.

Simon Vanneste, Jens de Hoog, Thomas Huybrechts, Stig Bosmans, Reinout Eyckerman, Muddsair Sharif, Siegfried Mercelis, Peter Hellinckx

Future Internet, 2019

Learning to Communicate with Multi-agent Reinforcement Learning Using Value-Decomposition Networks.

Simon Vanneste, Astrid Vanneste, Stig Bosmans, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019

DUST Initializr - CAD Drawing Platform for Designing Modules and Applications in the DUST Framework.

Thomas Huybrechts, Simon Vanneste, Reinout Eyckerman, Jens de Hoog, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019

Using Neural Architecture Search to Optimize Neural Networks for Embedded Devices.

Thomas Cassimon, Simon Vanneste, Stig Bosmans, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019

LiDAR and Camera Sensor Fusion for 2D and 3D Object Detection.

Dieter Balemans, Simon Vanneste, Jens de Hoog, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019

2018

Distributed Uniform Streaming Framework: Towards an Elastic Fog Computing Platform for Event Stream Processing.

Simon Vanneste, Jens de Hoog, Thomas Huybrechts, Stig Bosmans, Muddsair Sharif, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, 2018

2014

3DVFH+: Real-Time Three-Dimensional Obstacle Avoidance Using an Octomap.

Simon Vanneste, Ben Bellekens, Maarten Weyn

Proceedings of the 1st International Workshop on Model-Driven Robot Software Engineering co-located with International Conference on Software Technologies: Applications and Foundations, 2014