|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.
|3.12.2021||16:00-17:00||Chengshu (Eric) Li (Stanford University), Invited Talk: BEHAVIOR and iGibson 2.0: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments||http://tiny.cc/7askoz|
|10.12.2021||14:00-15:00||Thomas Schön (Uppsala University), Invited Talk: Deep Probabilistic Regression||http://tiny.cc/7askoz|
|17.12.2021||14:00-15:00||Weiming Zhi (University of Sydney), Invited Talk: Learning ODEs via Diffeomorphisms for Fast and Robust Integration||Please register using http://tiny.cc/7askoz|
|15:00-15:30||Jiawei Huang, M.Sc. Thesis Defense: Multi-Objective Reactive Motion Planning in Mobile Manipulators||http://tiny.cc/7askoz|
|15:30-15:50||Yannik Frisch, M.Sc. Intermediate Presentation: Unsupervised patch -wisecontrastive learning of keypoints for prediction and control|
|7.01.2022||14:00-14:30||Pengfei Zhao, M.Sc. Thesis Defense: Improving Gradient Directions for Episodic Policy Search||http://tiny.cc/7askoz|
|15:00-16:00||Aldo Pacchiano (Microsoft Research NYC), Invited Talk: Towards an Understanding of Transfer Learning in Reinforcement Learning Domains||Please register using http://tiny.cc/7askoz|
|14.01.2022||14:00-14:30||Lei Xu, M.Sc. Thesis Defense: Integrated AI planning for general-purpose robot manipulation||http://tiny.cc/7askoz|
|15:00-16:00||Danny Driess (TU Berlin), Invited Talk: Learning for Long-Horizon Manipulation Planning||Please register using http://tiny.cc/7askoz|
|21.01.2022||15:00-15:30||Nikita Rudin (NVIDIA, ETH Zurich), Invited Talk: Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning||http://tiny.cc/7askoz|
|27.01.2022||1:00-1:00||Ingenium - Impulse 2022||Zoom|
|28.01.2022||14:00-15:00||Joni Pajarinen, Research Talk: Reinforcement Learning under Partial Observability||http://tiny.cc/7askoz|