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Learning to reinforcement learn

17 November 2016

Papers citing "Learning to reinforcement learn"

50 / 584 papers shown

Title
MTL2L: A Context Aware Neural Optimiser N. Kuo Mehrtash Harandi Nicolas Fourrier Christian J. Walder Gabriela Ferraro H. Suominen 36 0 0 18 Jul 2020
Discovering Reinforcement Learning Algorithms Junhyuk Oh Matteo Hessel Wojciech M. Czarnecki Zhongwen Xu H. V. Hasselt Satinder Singh David Silver 89 129 0 17 Jul 2020
Meta-Gradient Reinforcement Learning with an Objective Discovered Online Zhongwen Xu H. V. Hasselt Matteo Hessel Junhyuk Oh Satinder Singh David Silver 87 78 0 16 Jul 2020
Submodular Meta-Learning Arman Adibi Aryan Mokhtari Hamed Hassani CLL 80 5 0 11 Jul 2020
Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual Bandits Aditya A. Ramesh Paulo E. Rauber Michelangelo Conserva Jürgen Schmidhuber 45 0 0 09 Jul 2020
EVO-RL: Evolutionary-Driven Reinforcement Learning Ahmed Hallawa Thorsten Born Anke Schmeink Guido Dartmann A. Peine Lukas Martin Giovanni Iacca A. E. Eiben G. Ascheid 86 14 0 09 Jul 2020
On the Reliability and Generalizability of Brain-inspired Reinforcement Learning Algorithms Dongjae Kim J. Lee J. Shin M. Yang Sang Wan Lee OffRL 30 2 0 09 Jul 2020
Deep Reinforcement Learning and its Neuroscientific Implications M. Botvinick Jane X. Wang Will Dabney Kevin J. Miller Z. Kurth-Nelson OffRL AI4CE 97 177 0 07 Jul 2020
Meta-active Learning in Probabilistically-Safe Optimization Mariah L. Schrum M. Connolly Eric R. Cole Mihir Ghetiya R. Gross Matthew C. Gombolay 66 12 0 07 Jul 2020
Meta-Learning through Hebbian Plasticity in Random Networks Elias Najarro S. Risi 108 78 0 06 Jul 2020
Learning intuitive physics and one-shot imitation using state-action-prediction self-organizing maps M. Stetter E. Lang SSL AI4CE 70 0 0 03 Jul 2020
Group Equivariant Deep Reinforcement Learning Arnab Kumar Mondal Pratheeksha Nair Kaleem Siddiqi 63 34 0 01 Jul 2020
Dynamic Regret of Policy Optimization in Non-stationary Environments Yingjie Fei Zhuoran Yang Zhaoran Wang Qiaomin Xie 95 56 0 30 Jun 2020
Guarantees for Tuning the Step Size using a Learning-to-Learn Approach Xiang Wang Shuai Yuan Chenwei Wu Rong Ge 75 16 0 30 Jun 2020
Automatic Data Augmentation for Generalization in Deep Reinforcement Learning Roberta Raileanu M. Goldstein Denis Yarats Ilya Kostrikov Rob Fergus OffRL 65 110 0 23 Jun 2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes Mengdi Xu Wenhao Ding Jiacheng Zhu Zuxin Liu Baiming Chen Ding Zhao CLL OffRL 104 35 0 19 Jun 2020
Optimizing Interactive Systems via Data-Driven Objectives Ziming Li Julia Kiseleva A. Grotov Maarten de Rijke Harrie Oosterhuis OffRL 46 3 0 19 Jun 2020
Meta Learning in the Continuous Time Limit Ruitu Xu Lin Chen Amin Karbasi 60 14 0 19 Jun 2020
Deep Reinforcement Learning amidst Lifelong Non-Stationarity Annie Xie James Harrison Chelsea Finn CLL OffRL 104 65 0 18 Jun 2020
Learning to Learn with Feedback and Local Plasticity Jack W Lindsey Ashok Litwin-Kumar CLL 74 33 0 16 Jun 2020
Agent Modelling under Partial Observability for Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Stefano V. Albrecht 111 66 0 16 Jun 2020
Model-based Adversarial Meta-Reinforcement Learning Zichuan Lin G. Thomas Guangwen Yang Tengyu Ma OOD 79 52 0 16 Jun 2020
A Brief Look at Generalization in Visual Meta-Reinforcement Learning Safa Alver Doina Precup OffRL 49 8 0 12 Jun 2020
Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling Russell Mendonca Xinyang Geng Chelsea Finn Sergey Levine OOD OffRL 100 40 0 12 Jun 2020
Exploration by Maximizing Rényi Entropy for Reward-Free RL Framework Wei Shen Yuanying Cai Longbo Huang Jian Li OffRL 80 1 0 11 Jun 2020
Neural Physicist: Learning Physical Dynamics from Image Sequences Baocheng Zhu Shijun Wang James Y. Zhang AI4CE 31 1 0 09 Jun 2020
A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning Sihan Zeng Aqeel Anwar Thinh T. Doan A. Raychowdhury Justin Romberg 88 40 0 08 Jun 2020
Rapid Task-Solving in Novel Environments Samuel Ritter Ryan Faulkner Laurent Sartran Adam Santoro M. Botvinick David Raposo 74 29 0 05 Jun 2020
Meta-Model-Based Meta-Policy Optimization Takuya Hiraoka Takahisa Imagawa Voot Tangkaratt Takayuki Osa Takashi Onishi Yoshimasa Tsuruoka OffRL 100 8 0 04 Jun 2020
Meta Dialogue Policy Learning Yumo Xu Chenguang Zhu Baolin Peng Michael Zeng OffRL 56 7 0 03 Jun 2020
The Adversarial Resilience Learning Architecture for AI-based Modelling, Exploration, and Operation of Complex Cyber-Physical Systems Eric M. S. P. Veith Nils Wenninghoff Emilie Frost 47 5 0 27 May 2020
Towards intervention-centric causal reasoning in learning agents B. Lansdell LRM CML 21 0 0 26 May 2020
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities Shuhan Yuan Xintao Wu AAML 67 164 0 25 May 2020
Generalized Reinforcement Meta Learning for Few-Shot Optimization R. Anantha S. Pulman Srinivas Chappidi OffRL 40 2 0 04 May 2020
A neural network walks into a lab: towards using deep nets as models for human behavior Wei-Ying Ma B. Peters HAI AI4CE 94 55 0 02 May 2020
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation Nithin Holla Pushkar Mishra H. Yannakoudakis Ekaterina Shutova 88 28 0 29 Apr 2020
Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems Eseoghene Ben-Iwhiwhu Pawel Ladosz Jeffery Dick Wen‐Hua Chen Praveen K. Pilly Andrea Soltoggio 102 9 0 27 Apr 2020
Reinforcement Meta-Learning for Interception of Maneuvering Exoatmospheric Targets with Parasitic Attitude Loop B. Gaudet R. Furfaro R. Linares A. Scorsoglio 43 20 0 18 Apr 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning Huimin Peng VLM OffRL 121 35 0 17 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 420 2,005 0 11 Apr 2020
Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation M. Moghaddam Qi Wu Ehsan Abbasnejad Javen Qinfeng Shi 68 4 0 07 Apr 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey Chongzhen Zhang Jianrui Wang Gary G. Yen Chaoqiang Zhao Qiyu Sun Yang Tang Feng Qian Jürgen Kurths AAML 95 20 0 29 Mar 2020
Planning with Brain-inspired AI Naoya Arakawa AI4CE 22 0 0 25 Mar 2020
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions Rui Wang Joel Lehman Aditya Rawal Jiale Zhi Yulun Li Jeff Clune Kenneth O. Stanley 118 129 0 19 Mar 2020
Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant Disease Diagnosis Ruifeng Shi Deming Zhai Xianming Liu Junjun Jiang Wen Gao NoLa 54 7 0 17 Mar 2020
Meta-learning curiosity algorithms Ferran Alet Martin Schneider Tomas Lozano-Perez L. Kaelbling 99 64 0 11 Mar 2020
Finding online neural update rules by learning to remember Karol Gregor CLL 78 6 0 06 Mar 2020
Learning Context-aware Task Reasoning for Efficient Meta-reinforcement Learning Haozhe Jasper Wang Jiale Zhou Xuming He OffRL LRM 81 15 0 03 Mar 2020
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning Xingyou Song Yuxiang Yang K. Choromanski Ken Caluwaerts Wenbo Gao Chelsea Finn Jie Tan 187 80 0 02 Mar 2020
Provable Meta-Learning of Linear Representations Nilesh Tripuraneni Chi Jin Michael I. Jordan OOD 158 192 0 26 Feb 2020