4 citations · 11 across the 4 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2021★ 4 cited
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks
Alireza Fallah, Aryan Mokhtari, Asuman Ozdaglar
In this paper, we study the generalization properties of Model-Agnostic Meta-Learning (MAML) algorithms for supervised learning problems. We focus on the setting in which we train…
cs.LG2020★ 2 cited
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning
Alireza Fallah, Kristian Georgiev, Aryan Mokhtari +1
We consider Model-Agnostic Meta-Learning (MAML) methods for Reinforcement Learning (RL) problems, where the goal is to find a policy using data from several tasks represented by Ma…