Best paper awards

The L4DC 2024 Best Paper Award went to:

Meta-Learning Linear Quadratic Regulators: A Policy Gradient MAML Approach for Model-free LQR

by Leonardo Felipe Toso, Donglin Zhan, James Anderson and Han Wang

d068906 240716 1755 dsc04976

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

The following papers were finalists for the Best Paper Award:

Nonasymptotic Regret Analysis of Adaptive Linear Quadratic Control with Model Misspecification

by Bruce Lee, Anders Rantzer and Nikolai Matni

d068909 240716 1756 dsc04993

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Õ(T-1) Convergence to (Coarse) Correlated Equilibria in Full-Information General-Sum Markov Games

by Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk and Tamer Başar

d068912 240716 1757 dsc05014

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Committee: Necmiye Ozay, Javad Lavaei, Raphaël Jungers, Antonis Papachristodoulou, Maryam Kamgarpour