|Default Date:||Every Friday (from Oct 2021 on)|
|Default Time:||14:00 to 16:00|
|TU-CAN:||20-00-0630-os Intelligente Autonome Systeme Oberseminar|
The Oberseminar Intelligent Autonomous Systems covers current research topics of the Intelligent Autonomous Systems (IAS) group at the TU Darmstadt. It will include invited talks by famous machine learning researchers from all over the world, presentations of IAS members on their current research, presentations by alumni of IAS at well-known companies and universities, final presentations of all Bachelors, Masters and Ph.D. theses which have been completed at IAS ... and probably much more.
This schedule will be updated regularly. Please check it before the meeting. If you want to get reminders, please subscribe at https://mail.ias.informatik.tu-darmstadt.de/mailman/listinfo/talks to our talks mailing list. Also, you can subscribe to our Google Talks Calendar at this link!
Policy on student thesis talks: To ensure quality and to meet time constraints, we suggest BSc and MSc intermediate reports to be no longer than 10 minutes, with 10 minutes of additional question time. Final reports will be 20 minutes plus 10 minutes for questions. Details can be found on the ThesesStudents page. Other talks to be no longer than 40 minutes with an additional 5 minutes for questions. Additionally, we'll have an informal 'seminar chair' who streamlines the Q&A session.
|12.08.2022||14:00-14:20||Théo Vincent, M.Sc. Intermediate Presentation: Projected Bellman Operator||http://talks.robot-learning.net|
|14:15-14:30||Benedikt Hahner, M.Sc. Intermediate Presentation: Sim2GP: Bayesian Dynamics Models via Differentiable Physics|
|26.08.2022||14:00-14:45||Tuan Dam, Research Talk: Monte-Carlo Robot Path Planning||http://talks.robot-learning.net|
|14:45-15:00||Sebastian Szelag, M.Sc. Intermediate Presentation: Multi-Agent Reinforcement Learning for Assembly|
|22.09.2022||17:30-19:30||Tuan Dam, Ph.D. Thesis Defense: Sample Efficient Monte Carlo Tree Search for Robotics||http://talks.robot-learning.net|
|23.09.2022||13:30-15:00||Masashi Sugiyama (RIKEN), Invited Talk: Recent advances in robust machine learning||S208/171 Uhrenturmhörsaal|
|26.09.2022||15:00-17:00||Philip Becker-Ehmck, Ph.D. Thesis Defense: Latent State-Space Models for Control||http://tiny.cc/rarruz|
|13.12.2022||13:00-15:30||Alexander Cowen-Rivers, Ph.D. Thesis Defense: Pushing The Limits of Sample-Efficient Optimisation||http://talks.robot-learning.net|