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Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-Learning

8 September 2021

Fan Wang

Haoyi Xiong

Yang Cao

Papers citing "Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-Learning"

28 / 28 papers shown

Title
Decision Transformer: Reinforcement Learning via Sequence Modeling Lili Chen Kevin Lu Aravind Rajeswaran Kimin Lee Aditya Grover Michael Laskin Pieter Abbeel A. Srinivas Igor Mordatch OffRL 141 1,658 0 02 Jun 2021
Meta Learning Backpropagation And Improving It Louis Kirsch Jürgen Schmidhuber 102 57 0 29 Dec 2020
EvoCraft: A New Challenge for Open-Endedness Djordje Grbic Rasmus Berg Palm Elias Najarro Claire Glanois S. Risi 71 31 0 08 Dec 2020
A Survey of Deep Meta-Learning Mike Huisman Jan N. van Rijn Aske Plaat 180 333 0 07 Oct 2020
Discovering Reinforcement Learning Algorithms Junhyuk Oh Matteo Hessel Wojciech M. Czarnecki Zhongwen Xu H. V. Hasselt Satinder Singh David Silver 67 129 0 17 Jul 2020
Meta-Learning through Hebbian Plasticity in Random Networks Elias Najarro S. Risi 93 78 0 06 Jul 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 877 42,379 0 28 May 2020
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity Thomas Miconi Aditya Rawal Jeff Clune Kenneth O. Stanley 74 90 0 24 Feb 2020
Learning to Continually Learn Shawn L. E. Beaulieu Lapo Frati Thomas Miconi Joel Lehman Kenneth O. Stanley Jeff Clune Nick Cheney KELM CLL 85 148 0 21 Feb 2020
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning Tianhe Yu Deirdre Quillen Zhanpeng He Ryan Julian Avnish Narayan Hayden Shively Adithya Bellathur Karol Hausman Chelsea Finn Sergey Levine OffRL 253 1,181 0 24 Oct 2019
ES-MAML: Simple Hessian-Free Meta Learning Xingyou Song Wenbo Gao Yuxiang Yang K. Choromanski Aldo Pacchiano Yunhao Tang 130 118 0 25 Sep 2019
Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions Anil Yaman Giovanni Iacca Decebal Constantin Mocanu Matt Coler G. Fletcher Mykola Pechenizkiy 40 20 0 02 Apr 2019
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning Maxime Chevalier-Boisvert Dzmitry Bahdanau Salem Lahlou Lucas Willems Chitwan Saharia Thien Huu Nguyen Yoshua Bengio ELM 90 241 0 18 Oct 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 204 4,366 0 24 Jun 2018
Differentiable plasticity: training plastic neural networks with backpropagation Thomas Miconi Jeff Clune Kenneth O. Stanley AI4CE 64 154 0 06 Apr 2018
Regularized Evolution for Image Classifier Architecture Search Esteban Real A. Aggarwal Yanping Huang Quoc V. Le 177 3,036 0 05 Feb 2018
Interactive Grounded Language Acquisition and Generalization in a 2D World Haonan Yu Haichao Zhang Wenyuan Xu LLMAG LM&Ro 148 79 0 31 Jan 2018
CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy G. Ros Felipe Codevilla Antonio M. López V. Koltun VLM 143 5,206 0 10 Nov 2017
Grounded Language Learning in a Simulated 3D World Karl Moritz Hermann Felix Hill Simon Green Fumin Wang Ryan Faulkner ... Denis Teplyashin Marcus Wainwright C. Apps Demis Hassabis Phil Blunsom LM&Ro 77 306 0 20 Jun 2017
Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols Serhii Havrylov Ivan Titov LLMAG 82 288 0 31 May 2017
Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks Andrea Soltoggio Kenneth O. Stanley S. Risi AI4CE 77 136 0 30 Mar 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning Tim Salimans Jonathan Ho Xi Chen Szymon Sidor Ilya Sutskever 115 1,541 0 10 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 829 11,943 0 09 Mar 2017
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 102 1,028 0 09 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 478 5,381 0 05 Nov 2016
HyperNetworks David R Ha Andrew M. Dai Quoc V. Le 168 1,632 0 27 Sep 2016
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,121 0 20 Dec 2014
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 234 8,348 0 06 Nov 2014