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Learning to reinforcement learn

17 November 2016

Papers citing "Learning to reinforcement learn"

50 / 584 papers shown

Title
A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning Nicholas C. Landolfi G. Thomas Tengyu Ma OffRL 64 19 0 11 Jul 2019
Generalizing from a few environments in safety-critical reinforcement learning Zachary Kenton Angelos Filos Owain Evans Y. Gal 87 16 0 02 Jul 2019
Learning to Interactively Learn and Assist Mark P. Woodward Chelsea Finn Karol Hausman 103 33 0 24 Jun 2019
Modeling AGI Safety Frameworks with Causal Influence Diagrams Tom Everitt Ramana Kumar Victoria Krakovna Shane Legg AI4CE 81 22 0 20 Jun 2019
Meta-learning Pseudo-differential Operators with Deep Neural Networks Jordi Feliu-Fabà Yuwei Fan Lexing Ying 66 40 0 16 Jun 2019
Compositional generalization through meta sequence-to-sequence learning Brenden M. Lake CoGe 123 199 0 12 Jun 2019
Domain Adaptive Dialog Generation via Meta Learning Kun Qian Zhou Yu VLM OffRL 92 130 0 08 Jun 2019
Watch, Try, Learn: Meta-Learning from Demonstrations and Reward Allan Zhou Eric Jang Daniel Kappler Alexander Herzog Mohi Khansari Paul Wohlhart Yunfei Bai Mrinal Kalakrishnan Sergey Levine Chelsea Finn 89 49 0 07 Jun 2019
Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach Ognjen Rudovic Meiru Zhang Bjorn Schuller Rosalind W. Picard OffRL 73 46 0 07 Jun 2019
Risks from Learned Optimization in Advanced Machine Learning Systems Evan Hubinger Chris van Merwijk Vladimir Mikulik Joar Skalse Scott Garrabrant 105 154 0 05 Jun 2019
Lifelong Learning with a Changing Action Set Yash Chandak Georgios Theocharous Chris Nota Philip S. Thomas CLL OffRL 77 31 0 05 Jun 2019
Learning to solve the credit assignment problem B. Lansdell P. Prakash Konrad Paul Kording 98 53 0 03 Jun 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence Jeff Clune 148 122 0 27 May 2019
Sequential mastery of multiple visual tasks: Networks naturally learn to learn and forget to forget Guy Davidson Michael C. Mozer CLL 62 23 0 26 May 2019
Zero-shot task adaptation by homoiconic meta-mapping Andrew Kyle Lampinen James L. McClelland 59 1 0 23 May 2019
Meta reinforcement learning as task inference Jan Humplik Alexandre Galashov Leonard Hasenclever Pedro A. Ortega Yee Whye Teh N. Heess OffRL 127 128 0 15 May 2019
Meta-learning of Sequential Strategies Pedro A. Ortega Jane X. Wang Mark Rowland Tim Genewein Z. Kurth-Nelson ... Yee Whye Teh H. V. Hasselt Nando de Freitas M. Botvinick Shane Legg OffRL 123 101 0 08 May 2019
Continual and Multi-task Reinforcement Learning With Shared Episodic Memory A. Sorokin Andrey Kravchenko KELM CLL 39 5 0 07 May 2019
Meta-learners' learning dynamics are unlike learners' Neil C. Rabinowitz OffRL 88 16 0 03 May 2019
Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer E. Beeching Christian Wolf J. Dibangoye Olivier Simonin OffRL LRM 76 25 0 03 Apr 2019
Multitask Soft Option Learning Maximilian Igl Andrew Gambardella Jinke He Nantas Nardelli N. Siddharth Wendelin Bohmer Shimon Whiteson 187 26 0 01 Apr 2019
Guided Meta-Policy Search Russell Mendonca Abhishek Gupta Rosen Kralev Pieter Abbeel Sergey Levine Chelsea Finn 68 57 0 01 Apr 2019
Meta-Learning surrogate models for sequential decision making Alexandre Galashov Jonathan Richard Schwarz Hyunjik Kim M. Garnelo D. Saxton Pushmeet Kohli S. M. Ali Eslami Yee Whye Teh BDL OffRL 95 25 0 28 Mar 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables Kate Rakelly Aurick Zhou Deirdre Quillen Chelsea Finn Sergey Levine OffRL 98 665 0 19 Mar 2019
Neuromorphic Hardware learns to learn Thomas Bohnstingl Franz Scherr Christian Pehle K. Meier Wolfgang Maass 51 48 0 15 Mar 2019
Concurrent Meta Reinforcement Learning Emilio Parisotto Soham Ghosh S. Yalamanchi Varsha Chinnaobireddy Yuhuai Wu Ruslan Salakhutdinov LRM 66 17 0 07 Mar 2019
NoRML: No-Reward Meta Learning Yuxiang Yang Ken Caluwaerts Atil Iscen Jie Tan Chelsea Finn 82 27 0 04 Mar 2019
Online Meta-Learning Chelsea Finn Aravind Rajeswaran Sham Kakade Sergey Levine CLL 89 256 0 22 Feb 2019
Where Do Human Heuristics Come From? Marcel Binz Dominik M. Endres 23 0 0 20 Feb 2019
Learning to Generalize from Sparse and Underspecified Rewards Rishabh Agarwal Chen Liang Dale Schuurmans Mohammad Norouzi OffRL 137 96 0 19 Feb 2019
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module Tiago Ramalho M. Garnelo BDL 120 78 0 07 Feb 2019
Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning Arthur Juliani Ahmed Khalifa Vincent-Pierre Berges Jonathan Harper Ervin Teng Hunter Henry A. Crespi Julian Togelius Danny Lange 87 144 0 04 Feb 2019
Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks Dongqi Han Kenji Doya Jun Tani AI4CE 126 20 0 29 Jan 2019
Reward Shaping via Meta-Learning Haosheng Zou Zhaolin Ren Dong Yan Hang Su Jun Zhu OffRL 96 69 0 27 Jan 2019
Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets G. Bellec Franz Scherr Elias Hajek Darjan Salaj Robert Legenstein Wolfgang Maass PINN 89 89 0 25 Jan 2019
Causal Reasoning from Meta-reinforcement Learning Ishita Dasgupta Jane X. Wang Silvia Chiappa Jovana Mitrović Pedro A. Ortega David Raposo Edward Hughes Peter W. Battaglia M. Botvinick Z. Kurth-Nelson CML LRM 81 122 0 23 Jan 2019
Exploring applications of deep reinforcement learning for real-world autonomous driving systems V. Talpaert Ibrahim Sobh Ravi Kiran Patrick Mannion S. Yogamani Ahmad El-Sallab P. Pérez 70 74 0 06 Jan 2019
Learning to Navigate the Web Izzeddin Gur U. Rückert Aleksandra Faust Dilek Z. Hakkani-Tür 86 65 0 21 Dec 2018
Introducing Neuromodulation in Deep Neural Networks to Learn Adaptive Behaviours Nicolas Vecoven D. Ernst Antoine Wehenkel G. Drion AI4CE 64 43 0 21 Dec 2018
Generative One-Shot Learning (GOL): A Semi-Parametric Approach to One-Shot Learning in Autonomous Vision Sorin Grigorescu GAN VLM 57 13 0 19 Dec 2018
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL Anusha Nagabandi Chelsea Finn Sergey Levine OffRL CLL 109 191 0 18 Dec 2018
Domain Adaptation for Reinforcement Learning on the Atari Thomas Carr Maria Chli George Vogiatzis 42 22 0 18 Dec 2018
Toward Multimodal Model-Agnostic Meta-Learning Risto Vuorio Shao-Hua Sun Hexiang Hu Joseph J. Lim 97 32 0 18 Dec 2018
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents F. Such Vashisht Madhavan Rosanne Liu Rui Wang Pablo Samuel Castro ... Jiale Zhi Ludwig Schubert Marc G. Bellemare Jeff Clune Joel Lehman OffRL 86 54 0 17 Dec 2018
The effects of negative adaptation in Model-Agnostic Meta-Learning T. Deleu Yoshua Bengio 89 20 0 05 Dec 2018
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 177 1,279 0 30 Nov 2018
Guiding Policies with Language via Meta-Learning John D. Co-Reyes Abhishek Gupta Suvansh Sanjeev Nick Altieri Jacob Andreas John DeNero Pieter Abbeel Sergey Levine LM&Ro 88 64 0 19 Nov 2018
Learning Shared Dynamics with Meta-World Models Lisheng Wu Minne Li Jun Wang 34 0 0 05 Nov 2018
Towards learning-to-learn B. Lansdell Konrad Paul Kording 44 19 0 01 Nov 2018
Assessing Generalization in Deep Reinforcement Learning Charles Packer Katelyn Gao Jernej Kos Philipp Krahenbuhl V. Koltun Basel Alomair OffRL 130 239 0 29 Oct 2018