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Learning to reinforcement learn

17 November 2016

Papers citing "Learning to reinforcement learn"

34 / 584 papers shown

Title
Some Considerations on Learning to Explore via Meta-Reinforcement Learning Bradly C. Stadie Ge Yang Rein Houthooft Xi Chen Yan Duan Yuhuai Wu Pieter Abbeel Ilya Sutskever LRM 100 116 0 03 Mar 2018
Federated Meta-Learning with Fast Convergence and Efficient Communication Fei Chen Mi Luo Zhenhua Dong Zhenguo Li Xiuqiang He FedML 83 398 0 22 Feb 2018
Meta-Reinforcement Learning of Structured Exploration Strategies Abhishek Gupta Russell Mendonca YuXuan Liu Pieter Abbeel Sergey Levine OffRL 141 350 0 20 Feb 2018
Learning Data-Driven Objectives to Optimize Interactive Systems Ziming Li Julia Kiseleva Alekh Agarwal Maarten de Rijke 50 1 0 17 Feb 2018
Evolved Policy Gradients Rein Houthooft Richard Y. Chen Phillip Isola Bradly C. Stadie Filip Wolski Jonathan Ho Pieter Abbeel 109 228 0 13 Feb 2018
Deep Meta-Learning: Learning to Learn in the Concept Space Fengwei Zhou Bin Wu Zhenguo Li SSL 81 123 0 10 Feb 2018
Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents Joel Z Leibo Cyprien de Masson dÁutume Daniel Zoran David Amos Charlie Beattie ... Simon Green A. Gruslys Shane Legg Demis Hassabis M. Botvinick 105 78 0 24 Jan 2018
Learning model-based strategies in simple environments with hierarchical q-networks Necati Alp Muyesser Kyle Dunovan Timothy D. Verstynen 33 1 0 20 Jan 2018
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace Yoonho Lee Seungjin Choi 66 27 0 17 Jan 2018
Modular Continual Learning in a Unified Visual Environment Kevin T. Feigelis Blue Sheffer Daniel L. K. Yamins 31 0 0 20 Nov 2017
Learning to select computations Frederick Callaway Sayan Gul Paul M. Krueger Thomas Griffiths Falk Lieder 64 30 0 18 Nov 2017
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 331 887 0 11 Nov 2017
Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm Chelsea Finn Sergey Levine SSL 144 223 0 31 Oct 2017
Meta Learning Shared Hierarchies Kevin Frans Jonathan Ho Xi Chen Pieter Abbeel John Schulman 84 355 0 26 Oct 2017
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments Maruan Al-Shedivat Trapit Bansal Yuri Burda Ilya Sutskever Igor Mordatch Pieter Abbeel CLL 79 354 0 10 Oct 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 185 2,830 0 19 Aug 2017
General AI Challenge - Round One: Gradual Learning Jan Feyereisl Matej Nikl Martin Poliak Martin Stránský M. Vlasak CLL AI4CE 25 1 0 17 Aug 2017
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning Zhenguo Li Fengwei Zhou Fei Chen Hang Li 139 1,127 0 31 Jul 2017
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 277 5,623 0 21 Jul 2017
Efficient Architecture Search by Network Transformation Han Cai Tianyao Chen Weinan Zhang Yong Yu Jun Wang OOD 3DV 99 67 0 16 Jul 2017
A Simple Neural Attentive Meta-Learner Nikhil Mishra Mostafa Rohaninejad Xi Chen Pieter Abbeel OOD 109 200 0 11 Jul 2017
A Useful Motif for Flexible Task Learning in an Embodied Two-Dimensional Visual Environment Kevin T. Feigelis Daniel L. K. Yamins 36 0 0 22 Jun 2017
Structure Learning in Motor Control:A Deep Reinforcement Learning Model Ari Weinstein M. Botvinick 49 14 0 21 Jun 2017
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning Nat Dilokthanakul Christos Kaplanis Nick Pawlowski Murray Shanahan 87 92 0 18 May 2017
Deep Episodic Value Iteration for Model-based Meta-Reinforcement Learning Steven Hansen OffRL VLM 41 5 0 09 May 2017
One-Shot Imitation Learning Yan Duan Marcin Andrychowicz Bradly C. Stadie Jonathan Ho Jonas Schneider Ilya Sutskever Pieter Abbeel Wojciech Zaremba OffRL 99 689 0 21 Mar 2017
Learned Optimizers that Scale and Generalize Olga Wichrowska Niru Maheswaranathan Matthew W. Hoffman Sergio Gomez Colmenarejo Misha Denil Nando de Freitas Jascha Narain Sohl-Dickstein AI4CE 96 284 0 14 Mar 2017
Learning Gradient Descent: Better Generalization and Longer Horizons Kaifeng Lyu Shunhua Jiang Jian Li 110 114 0 10 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 1.2K 12,023 0 09 Mar 2017
Neural Episodic Control Alexander Pritzel Benigno Uria Sriram Srinivasan A. Badia Oriol Vinyals Demis Hassabis Daan Wierstra Charles Blundell OffRL BDL 115 347 0 06 Mar 2017
Reinforcement Learning Algorithm Selection Romain Laroche Raphael Feraud OffRL 98 8 0 30 Jan 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 352 1,551 0 25 Jan 2017
Artificial Intelligence Approaches To UCAV Autonomy Amir Husain B. Porter 26 1 0 24 Jan 2017
Learning an Optimization Algorithm through Human Design Iterations Thurston Sexton Max Yi Ren 88 20 0 24 Aug 2016