https://simons.berkeley.edu/workshops/schedule/16620 Learning and Games Boot Camp
Jan 24, 2022 to Jan 28, 2022
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Monday, January 24th, 2022 9:00 am – 9:30 am
Coffee and Check-In
9:30 am – 9:35 am
Opening Remarks
9:35 am – 10:30 am
Min-Max Optimization (Part I)
Constantinos Daskalakis (MIT)
10:30 am – 11:00 am
Break
11:00 am – 12:00 pm
Min-Max Optimization (Part II)
Constantinos Daskalakis (MIT)
12:00 pm – 2:00 pm
Lunch
2:00 pm – 3:00 pm
Learning as a Solution Concept (Part I)
Eva Tardos (Cornell University)
3:00 pm – 3:30 pm
Break
3:30 pm – 4:30 pm
Learning as a Solution Concept (Part II)
Eva Tardos (Cornell University)
4:30 pm – 5:30 pm
Reception
Tuesday, January 25th, 2022 9:30 am – 10:30 am
Min-Max Optimization (Part III)
Constantinos Daskalakis (MIT)
10:30 am – 11:00 am
Break
11:00 am – 12:00 pm
Min-Max Optimization (Part IV)
Constantinos Daskalakis (MIT)
12:00 pm – 2:00 pm
Lunch
2:00 pm – 3:00 pm
Dynamical Systems and Learning in Games (Part I)
Georgios Piliouras (Singapore University of Technology and Design)
3:00 pm – 3:30 pm
Break
3:30 pm – 4:30 pm
Dynamical Systems and Learning in Games (Part II)
Georgios Piliouras (Singapore University of Technology and Design)
Wednesday, January 26th, 2022 9:30 am – 10:30 am
Dynamical Systems and Learning in Games (Part III)
Georgios Piliouras (Singapore University of Technology and Design)
10:30 am – 11:00 am
Break
11:00 am – 12:00 pm
Dynamical Systems and Learning in Games (Part IV)
Georgios Piliouras (Singapore University of Technology and Design)
12:00 pm – 2:00 pm
Lunch
2:00 pm – 3:00 pm
Learning and Incentives (Part I)
Nika Haghtalab (UC Berkeley)
3:00 pm – 3:30 pm
Break
3:30 pm – 4:30 pm
Learning and Incentives (Part II)
Nika Haghtalab (UC Berkeley)
Thursday, January 27th, 2022 9:30 am – 10:30 am
Econometrics in Games and Auctions (Part I)
Vasilis Syrgkanis (Microsoft Research)
10:30 am – 11:00 am
Break
11:00 am – 12:00 pm
Econometrics in Games and Auctions (Part II)
Vasilis Syrgkanis (Microsoft Research)
12:00 pm – 2:00 pm
Lunch
2:00 pm – 3:00 pm
Learning and Incentives (Part III)
Nika Haghtalab (UC Berkeley)
3:00 pm – 3:15 pm
Break
3:15 pm – 4:15 pm
Learning and Incentives (Part IV)
Nika Haghtalab (UC Berkeley)
4:15 pm – 5:00 pm
Town Hall for Program Participants
Friday, January 28th, 2022 9:30 am – 10:30 am
Reinforcement Learning (Part I)
Dylan Foster (Microsoft Research)
10:30 am – 11:00 am
Break
11:00 am – 12:00 pm
Reinforcement Learning (Part II)
Dylan Foster (Microsoft Research)
12:00 pm – 2:00 pm
Lunch
2:00 pm – 3:00 pm
Multi-Agent Reinforcement Learning (Part I)
Chi Jin (Princeton University)
3:00 pm – 3:30 pm
Break
3:30 pm – 4:30 pm
Multi-Agent Reinforcement Learning (Part II)
Chi Jin (Princeton University)
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