Continual Backprop: Stochastic Gradient Descent with Persistent Randomness

13 August 2021

Papers citing "Continual Backprop: Stochastic Gradient Descent with Persistent Randomness"

8 / 58 papers shown

Title
Continual task learning in natural and artificial agents Timo Flesch Andrew M. Saxe Christopher Summerfield CLL 35 24 0 10 Oct 2022
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Aaron C. Courville OnRL 90 178 0 16 May 2022
Learning Agent State Online with Recurrent Generate-and-Test Alireza Samani R. Sutton CLL OffRL 6 2 0 30 Dec 2021
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time Anshul Nasery Soumyadeep Thakur Vihari Piratla A. De Sunita Sarawagi AI4TS 19 25 0 15 Aug 2021
A study on the plasticity of neural networks Tudor Berariu Wojciech M. Czarnecki Soham De J. Bornschein Samuel L. Smith Razvan Pascanu Claudia Clopath CLL AI4CE 12 30 0 31 May 2021
Adaptive Rational Activations to Boost Deep Reinforcement Learning Quentin Delfosse P. Schramowski Martin Mundt Alejandro Molina Kristian Kersting 37 14 0 18 Feb 2021
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 36 307 0 25 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 317 11,681 0 09 Mar 2017