Oberseminar - Intelligent Autonomous Systems

Quick Facts

Organizers:Jan Peters
Default Date:Every Thursday
Default Time:14:00 to 16:00
Default Room:S202 E202
TU-CAN:20-00-0630-os Intelligente Autonome Systeme Oberseminar
Credits:N.A.

Overview

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 external members of IAS at the Max Planck Institute for Biological Cybernetics and the Max Planck Institute for Intelligent Systems, 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.

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.

Upcoming Talks

DateTimeEventLocation
12.12.201914:00-14:30Moritz Knaust, M.Sc. Thesis Defense: Intuitive Imitation Learning for One-Handed and Bimanual Tasks Using ProMPsE202
 14:30-15:00Maximilian Kircher, M.Sc. Thesis Defense: Learning from Human Feedback: a Comparison of Interactive Reinforcement Learning AlgorithmsS02|02 E202
 15:00-15:30Peter Nickl, M.Sc. Thesis Defense: Bayesian Inference for Regression Models using Nonparametric Infinite MixturesE202
 15:30-16:00Melvin Laux, M.Sc. Thesis Defense: Deep Adversarial Reinforcement Learning for Object DisentanglingS02|02 E202
16.12.201911:00-12:00Petar Komurshev (ICL), Invited Talk: T.B.A.S02|02 E202
16.12.201916:00-18:00Sebastian Gomez-Gonzalez, Ph.D. Thesis Defense: Adaptation and Robust Learning of Probabilistic Movement PrimitivesS02|02 E202
17.12.201911:00-12:00Tamim Asfour (KIT), Invited Talk: T.B.A.S02|02 E202
17.12.201916:00-18:30Dieter Büchler, Ph.D. Thesis Defense: Learning Control and High Speed Robotics on Muscular SystemsS02|02 E202
19.12.201911:00-12:00Joschka Boedecker (Uni Freiburg), Invited Talk: T.B.A.S02|02 E202
19.12.201915:30-17:30Simone Parisi, Ph.D. Thesis Defense: Reinforcement Learning with Sparse and Multiple RewardsS02|02 E202
9.01.202014:00-14:30Maximilian Kirschner, B.Sc. Thesis Defense: Integration of LIDAR S LAM for an Autonomous VehicleE202
 14:30-15:00Kai Ploeger, M.Sc. Thesis Defense: Robot JugglingS02|02 E202
 15:00-15:30Axel Patzwahl, Honor Thesis Defense: Robot Catching 
15.01.202014:00-16:30IP Intermediate PresentationsE202
16.01.202014:00-14:30Oleg Arenz, Research Talk: Non-Adversarial Deep Imitation LearningE202
 14:30-15:00Carlo D'Eramo, Research Talk: Sharing knowledge in Multi-Task RL 
 15:00-15:30Pratik Borhade, M.Sc. Thesis Defense: Multi-agent reinforcement learning for autonomous drivingS02|02 E202
23.01.202014:30-15:00Tuan Dam, Research Talk: T.B.A.E202
 15:00-18:00Oliver Brock (TU Berlin), Invited Talk: TBAS1|03, Wilhelm-Köhler-Saal (Raum 283)
11.02.202017:00-19:00Dorothea Koert, Ph.D. Thesis Defense: Interactive ML for Robot AssistantsS02|02 E202
12.02.202016:30-18:00Peter Dayan (MPI Cybernetics), Invited Talk: TBAS1|03, Wilhelm-Köhler-Saal (Raum 283)
27.02.202014:00-15:00Jakob Weimar, M.Sc. Thesis Defense: Exploring Intrinsic Motivation for Quanser Reinforcement Learning Benchmark SystemsS02|02 E202
20.11.202016:30-18:00Marc Ernst (Uni Ulm), Invited Talk: TBAS1|03, Wilhelm-Köhler-Saal (Raum 283)

See the talks you missed since 2013 or even talks prior to Fall 2013 for the many interesting talks of locals and visitors at IAS in the last couple of years.

  

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