You may follow the disputation online. Link for registration as an online spectator at the bottom of this page.
No deadline specified
Sven Opalic will defend his PhD thesis Advanced Warehouse Energy Storage System Control Using Deep Supervised- and Reinforcement Learning
Sven Opalci has followed the PhD Programme at Faculty of Engineering and Science, scientific field of Renewable energy.
Trial lecture starts at 10.15
Public defence starts at 12.15
Title of trial lecture: Deep Reinforcement Learning: Core Concepts and (Industrial) Applications
Disputation chair: Paul Ragnar Svennevig
The disputation is open to the public. To follow the trial lecture and the public defense online, register on Zoom.
We ask online audience members to join no earlier than 10 minutes in advance. After these times, you can leave and rejoin the meeting at any time.
Deadline for the public to pose questions is during the break between the two opponents. Questions ex auditorio can be submitted to Emma Horneman.