par Coppens, Youri 
;Bargiacchi, Eugenio;Nowé, Ann
Référence 31st Benelux Conference on Artificial Intelligence(Brussels, Belgium), Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Proceedings of the Reference AI & ML Conference for Belgium, Netherlands & Luxemburg, CEUR Workshop Proceedings, Vol. 2491, page (2)
Publication Publié, 2019-11-06
;Bargiacchi, Eugenio;Nowé, AnnRéférence 31st Benelux Conference on Artificial Intelligence(Brussels, Belgium), Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Proceedings of the Reference AI & ML Conference for Belgium, Netherlands & Luxemburg, CEUR Workshop Proceedings, Vol. 2491, page (2)
Publication Publié, 2019-11-06
Publication dans des actes
| Résumé : | We demonstrate how Virtual Reality can explain the basic concepts of Reinforcement Learning through an interactive maze game. A player takes the role of an autonomous learning agent and must learn the shortest path to a hidden treasure through experience. This application visualises the learning process of Watkins' Q(λ), one of the fundamental algorithms in the field. A video can be found at https://youtu.be/sLJRiUBhQqM. |
