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, 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 9am PT on Fridays.

For past presentations, see our Youtube channel.

If you're interested in joining the group, please fill out this form. For more information, or to request an invitation to present, please email Eugene Vinitsky ( or Natasha Jaques (

Upcoming Speakers / Papers

Past Speakers / Papers