News
Friendly Reminder LSF Registration, Friendly Reminder SlidesGeschrieben am 14.05.24 (letzte Änderung am 14.05.24) von Timo Philipp Gros Dear students, Please remember that you must also register for this seminar in the LSF. The deadline for this registration is May 14. (TODAY!) If you can't register in the LSF, please contact us immediately. Additionally, please remember to send a preliminary version of your slides to your… Weiterlesen Dear students, Please remember that you must also register for this seminar in the LSF. The deadline for this registration is May 14. (TODAY!) If you can't register in the LSF, please contact us immediately. Additionally, please remember to send a preliminary version of your slides to your supervisor. As the first session takes place next Tuesday (May 21), this deadline is also today (edit: for those students who give their talk next week).
We are looking forward to your talks.
Best, |
Friendly Reminder LSF RegistrationGeschrieben am 08.05.24 von Timo Philipp Gros Dear students,
Please remember that you must also register for this seminar in the LSF. The deadline for this registration is May 14. (It's already next week!) Please do not forget this additional registration. If you forget, we cannot let you participate in the seminar any further, even… Weiterlesen Dear students,
Please remember that you must also register for this seminar in the LSF. The deadline for this registration is May 14. (It's already next week!) Please do not forget this additional registration. If you forget, we cannot let you participate in the seminar any further, even if we'd like to.
Best,
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Topic AssignmentGeschrieben am 30.04.24 von Timo Philipp Gros Dear students, Your Personal Status page now contains your topic, your supervisor, and the date of your talk. We were able to assign each of you a favored topic.
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Topic Selection PreferencesGeschrieben am 28.04.24 von Timo Philipp Gros Dear students, Please be reminded that you need to enter your preferences for topic selection until the end of the day.
Best, the STDRL seminar team |
Kick-off Slides, Scheduling conflictGeschrieben am 24.04.24 von Timo Philipp Gros Dear students, you can now find the slides of yesterday's kick-off under Materials. Due to a scheduling conflict, we will need to swap the order of Causal Reinforcement Learning and Safe Reinforcement Learning: in contrast to the numbers on the slides, the talks of Causal Reinforcement… Weiterlesen Dear students, you can now find the slides of yesterday's kick-off under Materials. Due to a scheduling conflict, we will need to swap the order of Causal Reinforcement Learning and Safe Reinforcement Learning: in contrast to the numbers on the slides, the talks of Causal Reinforcement Learning will be scheduled first. To avoid confusions, we will leave the numbers of the topics unchanged (see also @ Topics & References). Sorry for the amendment. We will release an exact schedule as soon as we assigned the topics. If anything is unclear, don't hesitate to contact us.
Best, the STDRL seminar team |
Special Topics in Deep Reinforcement Learning
Reinforcement Learning (RL) is a popular sub-discipline of Machine Learning for problems that require strategies to solve complex tasks such as board games, scheduling problems, or other discrete optimization problems. Deep Reinforcement Learning (DRL) is the combination of Reinforcement Learning with Neural Networks.
In this seminar, we will first cover the most important algorithms of Deep Reinforcement Learning. Afterwards, we will dive deeper and have a look on special topics that our group is conducting research on. In particular, we will consider Exploration in DRL, Safe Reinforcement Learning, and Causal Reinforcement Learning.
The kick-off will take place on Tuesday, April 23, 2:15 pm at DFKI D3.4 in the VisRoom (-1.63). Participation is mandatory.