Multi-Agent Learning Seminar


The Multi-Agent Learning Seminar is a forum for discussing research related to multi-agent learning, including (deep) multi-agent reinforcement learning (MARL), game theory, emergent complexity and curriculum generation, human-AI interaction (including via natural language), and multi-agent communication. We are a collaborative group with participants from many institutions, including Berkeley, Stanford, Google Brain, OpenAI, DeepMind, Facebook AI Research (FAIR), and other universities. Past speakers have included Michael Littman, Chris Amato, Jacob Andreas, Peter Stone, Thore Graepel, Jeff Clune, Ken Stanley,  Dorsa Sadigh, Jakob Foerster, Deepak Pathak, Noam Brown, Aleksandra Faust, and many others. The seminar takes place at 9 am PT on Fridays.

For past presentations, please take a look at our YouTube channel.

If you want to join the group, please fill out this form. For more information or to request an invitation to present, please email Eugene Vinitsky (, Manfred Diaz ( or Rupali Bhati (

Upcoming Speakers

2024  Session

2023  Session

2022  Session

2021 Session

2020 Session