Tuesday, 14 December 2021
(Eastern Standard Time)
Please join the workshop via the livestream hosted on the NeurIPS workshop page: https://neurips.cc/virtual/2021/workshop/21837
Time
8:20am
8:30am
9:00am
9:30am
10:00am
10:45am
11:15am
11:45am
12:15pm
1:00pm
2:00pm
3:00pm
4:00pm
4:15pm
4:30pm
4:45pm
5:00pm
Event
Welcome and Opening Remarks | Edward Hughes (DeepMind) and Natasha Jaques (Google Brain, UC Berkeley)
Invited Talk | Bo An (Nanyang Technological University) on Learning to Coordinate in Complex Environments
Invited Talk | Michael Muthukrishna (London School of Economics) on Cultural Evolution and Human Cooperation
Invited Talk | Pablo Castro (Google Brain) on Estimating Policy Functions in Payment Systems using Reinforcement Learning
(Live) Q&A with Invited Speakers | moderated by Edward Hughes (DeepMind)
10:00am: Bo An (Nanyang Technological University)
10:15am: Michael Muthukrishna (London School of Economics)
10:30am: Pablo Castro (Google Brain)
Invited Talk | Ariel Procaccia (Harvard University) on Democracy and the Pursuit of Randomness
Invited Talk | Dorsa Sadigh (Stanford University) on The Role of Conventions in Adaptive Human-AI Interaction
(Live) Invited Talk | Nika Haghtalab (UC Berkeley) on Collaborative Machine Learning: Training and Incentives
(Live) Q&A with Invited Speakers | moderated by Noam Brown (Facebook AI Research)
12:15pm: Ariel Procaccia (Harvard University)
12:30pm: Dorsa Sadigh (Stanford University)
12:45pm: Nika Haghtalab (UC Berkeley)
Poster Session 1 (hosted in GatherTown)
Link (NeurIPS registration required)
Poster Session 2 (hosted in GatherTown)
Link (NeurIPS registration required)
(Live) Panel Discussion: Cooperative AI | Kalesha Bullard (moderator), Allan Dafoe (DeepMind), Fei Fang (Carnegie Mellon University), Chris Amato (Northeastern University), Elizabeth Adams (Stanford Center on Philanthropy and Civil Society)
Spotlight Talk | Interactive Inverse Reinforcement Learning for Cooperative Games
(Thomas Kleine Buening, Anne-Marie George, Christos Dimitrakakis)
Spotlight Talk | Learning to solve complex tasks by growing knowledge culturally across generations
(Michael Henry Tessler, Jason Madeano, Pedro Tsividis, Noah Goodman, Joshua B. Tenenbaum)
Spotlight Talk | On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)
(Washim Uddin Mondal, Mridul Agarwal, Vaneet Aggarwal, Satish Ukkusuri)
Spotlight Talk | Public Information Representation for Adversarial Team Games
(Luca Carminati, Federico Cacciamani, Marco Ciccone, Nicola Gatti)
(Live) Closing Remarks | Gillian Hadfield (Schwartz Reisman Institute for Technology and Society)