Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Astrid Vanneste"'
Autor:
Mattias Billast, Robin Janssens, Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Ali Anwar, Kevin Mets, Tom De Schepper, Jose Oramas, Steven Latre, Peter Hellinckx
Publikováno v:
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society, 17-20 October, 2022, Brussels, Belgium
To enable autonomous vessels to operate on inland waterways, they need to detect, track and localize objects at close range to safely navigate. We deployed current deep learning techniques to detect and track these objects. As there are no large labe
Autor:
Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Robin Janssens, Mattias Billast, Ali Anwar, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx
Publikováno v:
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society, 17-20 October, 2022, Brussels, Belgium
In recent years, interest in autonomous shipping in urban waterways has increased significantly due to the trend of keeping cars and trucks out of city centers. Classical approaches such as Frenet frame based planning and potential field navigation o
Autor:
Gauthier de Borrekens, Simon Vanneste, Peter Hellinckx, Stig Bosmans, Siegfried Mercelis, Steven Latre, Kevin Mets, Astrid Vanneste
Publikováno v:
Advances on P2P, Parallel, Grid, Cloud and Internet Computing : proceedings of the 16th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2021)
Advances on P2P, Parallel, Grid, Cloud and Internet Computing ISBN: 9783030898984
3PGCIC
Advances on P2P, Parallel, Grid, Cloud and Internet Computing ISBN: 9783030898984
3PGCIC
Recent work in multi-agent reinforcement learning has investigated inter agent communication which is learned simultaneously with the action policy in order to improve the team reward. In this paper, we investigate independent Q-learning (IQL) withou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::140e025dfd487fa9b0d3a1781aaa332e
https://hdl.handle.net/10067/1846900151162165141
https://hdl.handle.net/10067/1846900151162165141
Autor:
Simon Vanneste, Steven Latre, Wesley Van Wijnsberghe, Peter Hellinckx, Siegfried Mercelis, Astrid Vanneste, Kevin Mets
Publikováno v:
Advances on P2P, Parallel, Grid, Cloud and Internet Computing ISBN: 9783030898984
Advances on P2P, Parallel, Grid, Cloud and Internet Computing : proceedings of the 16th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2021)
Advances on P2P, Parallel, Grid, Cloud and Internet Computing : proceedings of the 16th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2021)
By using communication between multiple agents in multi-agent environments, one can reduce the effects of partial observability by combining one agent's observation with that of others in the same dynamic environment. While a lot of successful resear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90b6b52150753a4d3937187d99960490
Publikováno v:
Advances on P2P, Parallel, Grid, Cloud and Internet Computing ISBN: 9783030335083
3PGCIC
Advances on P2P, Parallel, Grid, Cloud and Internet Computing : proceedings of the 14th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2019) / Barolli, Leonard [edit.]
3PGCIC
Advances on P2P, Parallel, Grid, Cloud and Internet Computing : proceedings of the 14th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2019) / Barolli, Leonard [edit.]
Recent research focuses on how agents can learn to communicate with each other. This communication between the agents allows them to share information and coordinate their behaviour. Recent efforts have proven successful in these cooperative problems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76bef45f77146b72075809b0777e6024
https://doi.org/10.1007/978-3-030-33509-0_69
https://doi.org/10.1007/978-3-030-33509-0_69