Correcting Momentum in Temporal Difference Learning

7 June 2021

Papers citing "Correcting Momentum in Temporal Difference Learning"

6 / 6 papers shown

Title
Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning Roger Creus Castanyer J. Obando-Ceron Lu Li Pierre-Luc Bacon Glen Berseth Aaron Courville Pablo Samuel Castro 22 0 0 18 Jun 2025
Frequency and Generalisation of Periodic Activation Functions in Reinforcement Learning Augustine N. Mavor-Parker Matthew J. Sargent Caswell Barry Lewis D. Griffin Clare Lyle 118 2 0 09 Jul 2024
Can Learned Optimization Make Reinforcement Learning Less Difficult? Alexander David Goldie Chris Xiaoxuan Lu Matthew Jackson Shimon Whiteson Jakob N. Foerster 139 5 0 09 Jul 2024
Understanding and Preventing Capacity Loss in Reinforcement Learning Clare Lyle Mark Rowland Will Dabney CLL 105 115 0 20 Apr 2022
Continual Learning In Environments With Polynomial Mixing Times Matthew D Riemer Sharath Chandra Raparthy Ignacio Cases G. Subbaraj M. P. Touzel Irina Rish CLL 95 9 0 13 Dec 2021
Memory Augmented Optimizers for Deep Learning Paul-Aymeric McRae Prasanna Parthasarathi Mahmoud Assran Sarath Chandar ODL 80 3 0 20 Jun 2021