BeNeRL Seminar Series
The BeNeRL Seminar Series are monthly online talks by RL researchers from all over the world. The intention is to primarily give a platform to advanced PhD students and early career researchers to 1) display their work and 2) share their practical RL experience (i.e., how do you manage large-scale RL experiments as a new researcher in the field, a topic that is often skipped in talks). We maintain a summary of the main advice on experimentation.
The seminar is online and takes place on every second Thursday of the month, 16.00-17.00 (CET)
(unless there is a conflict with an important machine learning conference, when we try to shift by one week)
Upcoming Speaker: TBD
Schedule
Talks are always online and take place between 16.00-17.00 (CET).
2023
Thu Oct 12: Benjamin Eysenbach (Princeton) Connections between Reinforcement Learning and Representation Learning
Thu Nov 16: Cansu Sancaktar (Max Planck Institute) Playful Exploration in Reinforcement Learning
Thu Dec 14 :
2024
Thu Jan 11: Chris Lu (University of Oxford)
Thu Feb 8:
Thu Mar 14: Elise van der Pol (Microsoft Research)
Thu April 11:
Thu May 16:
TBD: Minqi Jiang (UCL & Meta AI)
If you have any questions about the seminar series, feel free to contact:
Zhao Yang: z.yang(at)liacs.leidenuniv.nl