1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Functional Acceleration for Policy Mirror Descent
Veronica Chelu, Doina Precup
We apply functional acceleration to the Policy Mirror Descent (PMD) general family of algorithms, which cover a wide range of novel and fundamental methods in Reinforcement Learnin…
cs.LG2023
Acceleration in Policy Optimization
Veronica Chelu, Tom Zahavy, Arthur Guez +2
We work towards a unifying paradigm for accelerating policy optimization methods in reinforcement learning (RL) by integrating foresight in the policy improvement step via optimist…
cs.LG2022★ 1 cited
Selective Credit Assignment
Veronica Chelu, Diana Borsa, Doina Precup +1
Efficient credit assignment is essential for reinforcement learning algorithms in both prediction and control settings. We describe a unified view on temporal-difference algorithms…