Learning and Games Boot Camp

Program

Learning and Games

Location

Calvin Lab Auditorium

Date

Monday, Jan. 24 – Friday, Jan. 28, 2022

Back to calendar

9 – 9:30 a.m.

Coffee and Check-In

9:30 – 9:35 a.m.

Opening Remarks

9:35 – 10:30 a.m.

Min-Max Optimization (Part I)

Constantinos Daskalakis (MIT)

10:30 – 11 a.m.

Break

11 a.m. – 12 p.m.

Min-Max Optimization (Part II)

Constantinos Daskalakis (MIT)

12 – 2 p.m.

Lunch

2 – 3 p.m.

Learning as a Solution Concept (Part I)

Éva Tardos (Cornell University)

3 – 3:30 p.m.

Break

3:30 – 4:30 p.m.

Learning as a Solution Concept (Part II)

Éva Tardos (Cornell University)

4:30 – 5:30 p.m.

Reception

9:30 – 10:30 a.m.

Min-Max Optimization (Part III)

Constantinos Daskalakis (MIT)

10:30 – 11 a.m.

Break

11 a.m. – 12 p.m.

Min-Max Optimization (Part IV)

Constantinos Daskalakis (MIT)

12 – 2 p.m.

Lunch

2 – 3 p.m.

Dynamical Systems and Learning in Games (Part I)

Georgios Piliouras (Singapore University of Technology and Design)

3 – 3:30 p.m.

Break

3:30 – 4:30 p.m.

Dynamical Systems and Learning in Games (Part II)

Georgios Piliouras (Singapore University of Technology and Design)

9:30 – 10:30 a.m.

Dynamical Systems and Learning in Games (Part III)

Georgios Piliouras (Singapore University of Technology and Design)

10:30 – 11 a.m.

Break

11 a.m. – 12 p.m.

Dynamical Systems and Learning in Games (Part IV)

Georgios Piliouras (Singapore University of Technology and Design)

12 – 2 p.m.

Lunch

2 – 3 p.m.

Learning and Incentives (Part I)

Nika Haghtalab (UC Berkeley)

3 – 3:30 p.m.

Break

3:30 – 4:30 p.m.

Learning and Incentives (Part II)

Nika Haghtalab (UC Berkeley)

9:30 – 10:30 a.m.

Econometrics in Games and Auctions (Part I)

Vasilis Syrgkanis (Microsoft Research)

10:30 – 11 a.m.

Break

11 a.m. – 12 p.m.

Econometrics in Games and Auctions (Part II)

Vasilis Syrgkanis (Microsoft Research)

12 – 2 p.m.

Lunch

2 – 3 p.m.

Learning and Incentives (Part III)

Nika Haghtalab (UC Berkeley)

3 – 3:15 p.m.

Break

3:15 – 4:15 p.m.

Learning and Incentives (Part IV)

Nika Haghtalab (UC Berkeley)

4:15 – 5 p.m.

Town Hall for Program Participants

9:30 – 10:45 a.m.

Reinforcement Learning (Part I)

Dylan Foster (Microsoft Research)

10:45 – 11:15 a.m.

Break

11:15 a.m. – 12:10 p.m.

Reinforcement Learning (Part II)

Dylan Foster (Microsoft Research)

12:10 – 2 p.m.

Lunch

2 – 3 p.m.

Multi-Agent Reinforcement Learning (Part I)

Chi Jin (Princeton University)

3 – 3:30 p.m.

Break

3:30 – 4:30 p.m.

Multi-Agent Reinforcement Learning (Part II)

Chi Jin (Princeton University)