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Learning to reinforcement learn

17 November 2016

Papers citing "Learning to reinforcement learn"

50 / 584 papers shown

Title
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity Thomas Miconi Aditya Rawal Jeff Clune Kenneth O. Stanley 80 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 105 148 0 21 Feb 2020
Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems M. S. Munir N. H. Tran Walid Saad Choong Seon Hong 143 21 0 20 Feb 2020
Curriculum in Gradient-Based Meta-Reinforcement Learning Bhairav Mehta T. Deleu Sharath Chandra Raparthy C. Pal Liam Paull 108 20 0 19 Feb 2020
Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning Navid Naderializadeh J. Sydir M. Simsek Hosein Nikopour 79 129 0 14 Feb 2020
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning Alireza Fallah Kristian Georgiev Aryan Mokhtari Asuman Ozdaglar 136 23 0 12 Feb 2020
Task-Robust Model-Agnostic Meta-Learning Liam Collins Aryan Mokhtari Sanjay Shakkottai OOD 59 13 0 12 Feb 2020
HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem Yun Hua Xiangfeng Wang Bo Jin Wenhao Li Junchi Yan Xiaofeng He H. Zha OffRL 86 9 0 11 Feb 2020
Local Nonparametric Meta-Learning Wonjoon Goo S. Niekum 85 3 0 09 Feb 2020
Learning State Abstractions for Transfer in Continuous Control Kavosh Asadi David Abel Michael L. Littman OffRL 63 7 0 08 Feb 2020
Revisiting Meta-Learning as Supervised Learning Wei-Lun Chao Han-Jia Ye De-Chuan Zhan M. Campbell Kilian Q. Weinberger OOD FedML 88 24 0 03 Feb 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 367 1,710 0 02 Feb 2020
Variational Autoencoders for Opponent Modeling in Multi-Agent Systems Georgios Papoudakis Stefano V. Albrecht BDL DRL 64 29 0 29 Jan 2020
EgoMap: Projective mapping and structured egocentric memory for Deep RL E. Beeching Christian Wolf J. Dibangoye Olivier Simonin EgoV 89 27 0 24 Jan 2020
Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning Tailin Wu 128 1 0 11 Jan 2020
Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies Sungryull Sohn Hyunjae Woo Jongwook Choi Honglak Lee OffRL 77 36 0 01 Jan 2020
Continuous Meta-Learning without Tasks James Harrison Apoorva Sharma Chelsea Finn Marco Pavone CLL OOD 98 79 0 18 Dec 2019
What Can Learned Intrinsic Rewards Capture? Zeyu Zheng Junhyuk Oh Matteo Hessel Zhongwen Xu M. Kroiss H. V. Hasselt David Silver Satinder Singh 103 79 0 11 Dec 2019
Unsupervised Curricula for Visual Meta-Reinforcement Learning Allan Jabri Kyle Hsu Benjamin Eysenbach Abhishek Gupta Sergey Levine Chelsea Finn VLM OOD SSL OffRL 84 65 0 09 Dec 2019
MetalGAN: Multi-Domain Label-Less Image Synthesis Using cGANs and Meta-Learning Tomaso Fontanini Eleonora Iotti Luca Donati Andrea Prati GAN AI4CE 146 24 0 05 Dec 2019
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication) Marek Rosa O. Afanasjeva Simon Andersson Joseph Davidson N. Guttenberg Petr Hlubucek Martin Poliak Jaroslav Vítků Jan Feyereisl 80 10 0 03 Dec 2019
SafeLife 1.0: Exploring Side Effects in Complex Environments Carroll L. Wainwright P. Eckersley 76 12 0 03 Dec 2019
Pyramid Convolutional RNN for MRI Image Reconstruction Eric Z. Chen Puyang Wang Xiao Chen Terrence Chen Shanhui Sun 86 44 0 02 Dec 2019
VIABLE: Fast Adaptation via Backpropagating Learned Loss Leo Feng L. Zintgraf Bei Peng Shimon Whiteson 62 1 0 29 Nov 2019
Agent Probing Interaction Policies Siddharth Ghiya Oluwafemi Azeez Brendan Miller 20 0 0 21 Nov 2019
Six Degree-of-Freedom Body-Fixed Hovering over Unmapped Asteroids via LIDAR Altimetry and Reinforcement Meta-Learning B. Gaudet R. Linares R. Furfaro 27 1 0 16 Nov 2019
Learning to reinforcement learn for Neural Architecture Search J. Gomez Joaquin Vanschoren 85 8 0 09 Nov 2019
Meta-Learning to Cluster Yibo Jiang Nakul Verma FedML 53 7 0 30 Oct 2019
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation Risto Vuorio Shao-Hua Sun Hexiang Hu Joseph J. Lim 101 218 0 30 Oct 2019
Learning Transferable Graph Exploration H. Dai Yujia Li Chenglong Wang Rishabh Singh Po-Sen Huang Pushmeet Kohli 79 22 0 28 Oct 2019
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck Maximilian Igl K. Ciosek Yingzhen Li Sebastian Tschiatschek Cheng Zhang Sam Devlin Katja Hofmann OffRL 95 174 0 28 Oct 2019
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 340 1,182 0 24 Oct 2019
Bottom-Up Meta-Policy Search Luckeciano C. Melo Marcos R. O. A. Máximo A. Cunha 68 6 0 22 Oct 2019
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning L. Zintgraf K. Shiarlis Maximilian Igl Sebastian Schulze Y. Gal Katja Hofmann Shimon Whiteson OffRL 96 279 0 18 Oct 2019
Multi-View Reinforcement Learning Minne Li Lisheng Wu Haitham Bou-Ammar Jun Wang 64 26 0 18 Oct 2019
Model-Agnostic Meta-Learning using Runge-Kutta Methods Daniel Jiwoong Im Yibo Jiang Nakul Verma 41 4 0 16 Oct 2019
Solving Rubik's Cube with a Robot Hand OpenAI Ilge Akkaya Marcin Andrychowicz Maciek Chociej Ma-teusz Litwin ... Peter Welinder Lilian Weng Qiming Yuan Wojciech Zaremba Lei Zhang ODL 213 1,236 0 16 Oct 2019
Improving Generalization in Meta Reinforcement Learning using Learned Objectives Louis Kirsch Sjoerd van Steenkiste Jürgen Schmidhuber OffRL 95 119 0 09 Oct 2019
Meta-Q-Learning Rasool Fakoor Pratik Chaudhari Stefano Soatto Alex Smola OffRL 101 149 0 30 Sep 2019
Multi-task Batch Reinforcement Learning with Metric Learning Jiachen Li Q. Vuong Shuang Liu Minghua Liu K. Ciosek George Andriopoulos Henrik I. Christensen H. Su OffRL 65 2 0 25 Sep 2019
MetalGAN: a Cluster-based Adaptive Training for Few-Shot Adversarial Colorization Tomaso Fontanini Eleonora Iotti Andrea Prati GAN 70 4 0 17 Sep 2019
Reservoirs learn to learn Anand Subramoney Franz Scherr Wolfgang Maass 45 20 0 16 Sep 2019
Modular Meta-Learning with Shrinkage Yutian Chen A. Friesen Feryal M. P. Behbahani Arnaud Doucet David Budden Matthew W. Hoffman Nando de Freitas KELM OffRL 112 35 0 12 Sep 2019
Meta-Learning with Implicit Gradients Aravind Rajeswaran Chelsea Finn Sham Kakade Sergey Levine 257 859 0 10 Sep 2019
Meta-Learning with Warped Gradient Descent Sebastian Flennerhag Andrei A. Rusu Razvan Pascanu Francesco Visin Hujun Yin R. Hadsell 110 210 0 30 Aug 2019
Environment Probing Interaction Policies Wenxuan Zhou Lerrel Pinto Abhinav Gupta 61 67 0 26 Jul 2019
Metalearned Neural Memory Tsendsuren Munkhdalai Alessandro Sordoni Tong Wang Adam Trischler KELM 63 62 0 23 Jul 2019
Self-Attentional Credit Assignment for Transfer in Reinforcement Learning Johan Ferret Raphaël Marinier Matthieu Geist Olivier Pietquin OffRL 86 6 0 18 Jul 2019
Seeker based Adaptive Guidance via Reinforcement Meta-Learning Applied to Asteroid Close Proximity Operations B. Gaudet R. Linares R. Furfaro 41 33 0 13 Jul 2019
Evolvability ES: Scalable and Direct Optimization of Evolvability A. Gajewski Jeff Clune Kenneth O. Stanley Joel Lehman 135 26 0 13 Jul 2019