research
∙
06/08/2023
Unconstrained Online Learning with Unbounded Losses
Algorithms for online learning typically require one or more boundedness...
share
research
∙
02/26/2022
Parameter-free Mirror Descent
We develop a modified online mirror descent framework that is suitable f...
research
∙
02/22/2022
Continual Auxiliary Task Learning
Learning auxiliary tasks, such as multiple predictions about the world, ...
research
∙
05/10/2021
Parameter-free Gradient Temporal Difference Learning
Reinforcement learning lies at the intersection of several challenges. M...
research
∙
07/17/2019