Differentiable plasticity: training plastic neural networks with
backpropagation

Differentiable plasticity: training plastic neural networks with backpropagation

6 April 2018

Jeff Clune

Kenneth O. Stanley

Papers citing "Differentiable plasticity: training plastic neural networks with backpropagation"

16 / 16 papers shown

Title
Upside Down Reinforcement Learning with Policy Generators Jacopo Di Ventura Dylan R. Ashley Vincent Herrmann Francesco Faccio Jürgen Schmidhuber 53 0 0 27 Jan 2025
Self-Contrastive Forward-Forward Algorithm Xing Chen Dongshu Liu Jérémie Laydevant Julie Grollier 55 2 0 17 Sep 2024
Real-Time Recurrent Reinforcement Learning Julian Lemmel Radu Grosu 39 2 0 08 Nov 2023
Neuroevolution of Self-Interpretable Agents Yujin Tang Duong Nguyen David R Ha 41 111 0 18 Mar 2020
Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks Andrea Soltoggio Kenneth O. Stanley S. Risi AI4CE 49 137 0 30 Mar 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 128 8,072 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 718 11,793 0 09 Mar 2017
Learning to Remember Rare Events Lukasz Kaiser Ofir Nachum Aurko Roy Samy Bengio RALM CLL 78 364 0 09 Mar 2017
Learning to reinforcement learn Jane X. Wang Z. Kurth-Nelson Dhruva Tirumala Hubert Soyer Joel Z Leibo Rémi Munos Charles Blundell D. Kumaran M. Botvinick OffRL 46 974 0 17 Nov 2016
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 46 1,011 0 09 Nov 2016
Using Fast Weights to Attend to the Recent Past Jimmy Ba Geoffrey E. Hinton Volodymyr Mnih Joel Z Leibo Catalin Ionescu 23 263 0 20 Oct 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 193 7,286 0 13 Jun 2016
One-shot Learning with Memory-Augmented Neural Networks Adam Santoro Sergey Bartunov M. Botvinick Daan Wierstra Timothy Lillicrap 27 525 0 19 May 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 134 8,805 0 04 Feb 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 99 149,474 0 22 Dec 2014
Neural Turing Machines Alex Graves Greg Wayne Ivo Danihelka 31 2,318 0 20 Oct 2014