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: Anikait Singh (Stanford University)

(ZOOM LINK: CLICK HERE )

Date: April 10, 16.00-17.00 (CET)

Title:

Link: Zoom Link - Click Here

Abstract:

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

2024

Thu Jan 11: Chris Lu (University of Oxford) Accelerating RL research with PureJaxRL (slides)

Thu Feb 8: Pierluca D'Oro (Mila) On building World Models better than reality

Thu April 11: Minqi Jiang (Google Deepmind) Learning Curricula in Open-Ended Worlds

Thu May 16: Edward Hu (University of Pennsylvania) The Sensory Needs of Robot Learners

Thu June 13: Nicklas Hansen (UC San Diego) Data-Driven World Models for Robots

Thu Sep 12: Daniel Palenicek (TU Darmstadt) Sample Efficiency in Deep RL: Quo Vadis? (slides)

Thu Oct 10: Ademi Adeniji (UC Berkeley) Reinforcement Learning Behavioral Generalists - Top-Down and Bottom-Up (slides)

Thu Nov 14: Tal Daniel (Technion) Particles to Policies: Object-Centric Learning in Pixel-Based Decision Making (slides)

Thu Dec 19: Hojoon Lee (KAIST AI) Designing Neural Network Architecture for Deep Reinforcement Learning (slides)

2025

Thu Jan 9: Yifu Yuan (Tianjin University) Diffusion Models for Decision Making (slide)

Thu Mar 13: Andrea Tirinzoni (Meta FAIR) Pre-training Behavioral Foundation Models via Zero-shot Reinforcement Learning

Thu April 10: Anikait Singh (Stanford University)

Thu May 8: Qiyang Li (UC Berkeley)

If you have any questions about the seminar series, feel free to contact:

Zhao Yang: z.yang(at)liacs.leidenuniv.nl

Thomas Moerland