On Neural Consolidation for Transfer in Reinforcement Learning

On Neural Consolidation for Transfer in Reinforcement Learning

5 October 2022

Valentin Guillet

Dennis G. Wilson

Carlos Aguilar-Melchor

Emmanuel Rachelson

Papers citing "On Neural Consolidation for Transfer in Reinforcement Learning"

11 / 11 papers shown

Title
Learning to Continually Learn Shawn L. E. Beaulieu Lapo Frati Thomas Miconi Joel Lehman Kenneth O. Stanley Jeff Clune Nick Cheney KELM CLL 71 147 0 21 Feb 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 114 1,190 0 19 Jan 2020
Progress & Compress: A scalable framework for continual learning Jonathan Richard Schwarz Jelena Luketina Wojciech M. Czarnecki A. Grabska-Barwinska Yee Whye Teh Razvan Pascanu R. Hadsell CLL 95 877 0 16 May 2018
World Models David R Ha Jürgen Schmidhuber SyDa 110 1,062 0 27 Mar 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 763 11,793 0 09 Mar 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 279 7,410 0 02 Dec 2016
Less-forgetting Learning in Deep Neural Networks Heechul Jung Jeongwoo Ju Minju Jung Junmo Kim 93 228 0 01 Jul 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 243 4,357 0 29 Jun 2016
Policy Distillation Andrei A. Rusu Sergio Gomez Colmenarejo Çağlar Gülçehre Guillaume Desjardins J. Kirkpatrick Razvan Pascanu Volodymyr Mnih Koray Kavukcuoglu R. Hadsell 58 687 0 19 Nov 2015
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 198 3,781 0 18 Nov 2015
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 82 2,992 0 19 Jul 2012