Reinforcement Learning Virtual Reading Group
We organise regular meetings to discuss recent papers from the reinforcement learning area. Meetings take place online and are open to everyone interested in reinforcement learning. Participants are expected to have read the paper prior to the meeting.
To receive updates about future meetings, sign up to the mailing list. We also have a calendar which can be integrated with local calendar apps. You can vote for or propose papers for future meetings here.
Contact: Samuel Garcin and Kale-ab Tessera
Presenting your work at the Reading Group
We regularly host guest speakers, please get in touch using the contact above if you are interested in presenting your work. You can find below a non-exhaustive list of past and upcoming guest speakers.
- Matthias Gerstgrasser, Stanford & Harvard
- Geraud Tasse, University of Witwatersrand
- Emmanuel Bengio, Recursion
- Sasha Vezhnevets, Google Deepmind
- Bogdan Mazoure, Mila, Apple MLR
- Rihab Gorsane, InstaDeep
- Stephen McAleer, CMU
- Thomas Burns, Okinawa Institute of Science and Technology
- Charline Le Lan, Oxford
- Jason Ma, UPenn
- Jakob Bauer, Deepmind
- Minqi Jiang, UCL, Meta AI
- Jack Parker-Holder, Oxford
- Pablo Samuel Castro, Google Brain
- Rishabh Agarwal, Google Brain
- Mahdi Kazemi Moghaddam, University of Adelaide, Australian Institute for Machine Learning
- Mohamad H. Danesh, National University of Singapore
- Denis Yarats, NYU, Facebook AI Research
- Andrei Lupu, McGill University, MILA
- Alexander Sasha, Deepmind
- Jiahong Li, Beijing Union University
- Jacopo Castellini, University of Liverpool
- Robert Loftin, Microsoft Research
- Vitaly Kurin, Oxford
- Gregory Palmer, Leibniz University
- Jiachen Yang, Georgia Tech
- Ying Wen, UCL, Shanghai Jiao Tong University
- Greg Farquar, Oxford, Deepmind
- Maximilian Igl, Oxford, Waymo
Survey papers
We keep lists of survey papers about single-agent reinforcement learning and multi-agent reinforcement learning.