https://peertube.watch/videos/watch/c0adc3e5-0db7-4f42-9999-d52ecd5140f2 This talk is about the basics of safe reinforcement learning and its use cases. I will discuss what makes a reinforcement learning algorithm safe and the motivation for pursuing safety. Furthermore, the role of open-source software such as Gymnasium, SUMO and Melting-pot in developing reinforcement learning algorithms will be highlighted. Finally, I will present two practical scenarios detailing how one might implement safe reinforcement learning algorithms. For this talk I do not assume any knowledge of reinforcement learning and all the necessary background information will be provided. Speaker: Kryspin Varys, Track: AI and Machine Learning devroom, Room: UB2.252A (Lameere), When: Sunday 4 February 2024, 11:15–11:30 (Brussels time), Schedule: FOSDEM 2024 event page, Slides & links slides, Licence: Creative Commons Attribution 2.0 Belgium (CC BY 2.0 BE) (as stated in the FOSDEM video archive). Attribution: “Practical Introduction to Safe Reinforcement Learning” by Kryspin Varys, FOSDEM 2024. Original recording: 2024/ub2252a/fosdem-2024-2820-practical-introduction-to-safe-reinforcement-learning.av1.webm from the FOSDEM video archive. This channel is an unofficial mirror; FOSDEM is a free and non-commercial event organised by the community for the community. Mon, 26 Oct 2026 02:10:49 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://peertube.watch https://peertube.watch/lazy-static/avatars/3b284627-b75f-409e-ac2e-10f4c2946f43.png https://peertube.watch/videos/watch/c0adc3e5-0db7-4f42-9999-d52ecd5140f2 All rights reserved, unless otherwise specified in the terms specified at https://peertube.watch/about and potential licenses granted by each content's rightholder.