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Learning to reinforcement learn

17 November 2016

Papers citing "Learning to reinforcement learn"

50 / 584 papers shown

Title
A Survey of Deep RL and IL for Autonomous Driving Policy Learning Zeyu Zhu Huijing Zhao 147 160 0 06 Jan 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications S. Latif Heriberto Cuayáhuitl Farrukh Pervez Fahad Shamshad Hafiz Shehbaz Ali Min Zhang OffRL 125 75 0 01 Jan 2021
Meta Learning Backpropagation And Improving It Louis Kirsch Jürgen Schmidhuber 135 57 0 29 Dec 2020
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 150 324 0 25 Dec 2020
Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation Chaochao Lu Erdun Gao Ke Wang José Miguel Hernández-Lobato Kun Zhang Bernhard Schölkopf CML OOD OffRL 92 60 0 16 Dec 2020
Grounding Artificial Intelligence in the Origins of Human Behavior Eleni Nisioti Clément Moulin-Frier AI4CE 118 5 0 15 Dec 2020
Variable-Shot Adaptation for Online Meta-Learning Tianhe Yu Xinyang Geng Chelsea Finn Sergey Levine CLL OffRL 58 4 0 14 Dec 2020
Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes Marc Rigter Bruno Lacerda Nick Hawes 52 17 0 08 Dec 2020
DeepCrawl: Deep Reinforcement Learning for Turn-based Strategy Games Alessandro Sestini A. Kuhnle Andrew D. Bagdanov 62 6 0 03 Dec 2020
Inductive Biases for Deep Learning of Higher-Level Cognition Anirudh Goyal Yoshua Bengio AI4CE 122 366 0 30 Nov 2020
Latent Skill Planning for Exploration and Transfer Kevin Xie Homanga Bharadhwaj Danijar Hafner Animesh Garg Florian Shkurti 95 20 0 27 Nov 2020
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer Zohreh Raziei Mohsen Moghaddam 77 25 0 27 Nov 2020
Meta-learning in natural and artificial intelligence Jane X. Wang 92 114 0 26 Nov 2020
Double Meta-Learning for Data Efficient Policy Optimization in Non-Stationary Environments Elahe Aghapour Nora Ayanian OffRL 42 4 0 21 Nov 2020
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning Avi Singh Huihan Liu G. Zhou Albert Yu Nicholas Rhinehart Sergey Levine OffRL OnRL 94 146 0 19 Nov 2020
REALab: An Embedded Perspective on Tampering Ramana Kumar J. Uesato Richard Ngo Tom Everitt Victoria Krakovna Shane Legg 72 10 0 17 Nov 2020
Meta Automatic Curriculum Learning Rémy Portelas Clément Romac Katja Hofmann Pierre-Yves Oudeyer 77 8 0 16 Nov 2020
Testing the Genomic Bottleneck Hypothesis in Hebbian Meta-Learning Rasmus Berg Palm Elias Najarro S. Risi 70 3 0 13 Nov 2020
Information-theoretic Task Selection for Meta-Reinforcement Learning Ricardo Luna Gutierrez Matteo Leonetti 76 18 0 02 Nov 2020
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning Dong-Ki Kim Miao Liu Matthew D Riemer Chuangchuang Sun Marwa Abdulhai Golnaz Habibi Sebastian Lopez-Cot Gerald Tesauro Jonathan P. How 58 56 0 31 Oct 2020
Behavior Priors for Efficient Reinforcement Learning Dhruva Tirumala Alexandre Galashov Hyeonwoo Noh Leonard Hasenclever Razvan Pascanu ... Guillaume Desjardins Wojciech M. Czarnecki Arun Ahuja Yee Whye Teh N. Heess 116 40 0 27 Oct 2020
MELD: Meta-Reinforcement Learning from Images via Latent State Models Tony Zhao Anusha Nagabandi Kate Rakelly Chelsea Finn Sergey Levine OffRL 104 35 0 26 Oct 2020
Meta-Learning Guarantees for Online Receding Horizon Learning Control Deepan Muthirayan Pramod P. Khargonekar 109 2 0 21 Oct 2020
Meta-trained agents implement Bayes-optimal agents Vladimir Mikulik Grégoire Delétang Tom McGrath Tim Genewein Miljan Martic Shane Legg Pedro A. Ortega OOD FedML 93 43 0 21 Oct 2020
Improving Generalization in Reinforcement Learning with Mixture Regularization Kaixin Wang Bingyi Kang Jie Shao Jiashi Feng 188 120 0 21 Oct 2020
Learning to Learn Variational Semantic Memory Xiantong Zhen Yingjun Du Huan Xiong Qiang Qiu Cees G. M. Snoek Ling Shao SSL BDL VLM DRL 74 36 0 20 Oct 2020
Model-free conventions in multi-agent reinforcement learning with heterogeneous preferences Raphael Köster Kevin R. McKee Richard Everett Laura Weidinger William S. Isaac Edward Hughes Edgar A. Duénez-Guzmán T. Graepel M. Botvinick Joel Z Leibo 90 23 0 18 Oct 2020
Learning Not to Learn: Nature versus Nurture in Silico R. T. Lange Henning Sprekeler 80 10 0 09 Oct 2020
Learning to Recombine and Resample Data for Compositional Generalization Ekin Akyürek Afra Feyza Akyürek Jacob Andreas 86 81 0 08 Oct 2020
A Survey of Deep Meta-Learning Mike Huisman Jan N. van Rijn Aske Plaat 203 335 0 07 Oct 2020
Meta-Learning of Structured Task Distributions in Humans and Machines Sreejan Kumar Ishita Dasgupta Jonathan Cohen Nathaniel D. Daw Thomas Griffiths OffRL 74 2 0 05 Oct 2020
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization Lanqing Li Rui Yang Dijun Luo OffRL 80 9 0 02 Oct 2020
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning L. Zintgraf Leo Feng Cong Lu Maximilian Igl Kristian Hartikainen Katja Hofmann Shimon Whiteson 87 39 0 02 Oct 2020
Understanding Human Intelligence through Human Limitations Thomas Griffiths 102 70 0 29 Sep 2020
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning Haotian Fu Hongyao Tang Jianye Hao Chong Chen Xidong Feng Dong Li Wulong Liu OffRL 83 50 0 29 Sep 2020
Complementary Meta-Reinforcement Learning for Fault-Adaptive Control Ibrahim Ahmed Marcos Quiñones-Grueiro G. Biswas 51 8 0 26 Sep 2020
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey Wenshuai Zhao Jorge Peña Queralta Tomi Westerlund OffRL 265 743 0 24 Sep 2020
GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning Chang-rui Liu Huichu Zhang Weinan Zhang Guanjie Zheng Yong Yu 48 45 0 17 Sep 2020
Importance Weighted Policy Learning and Adaptation Alexandre Galashov Jakub Sygnowski Guillaume Desjardins Jan Humplik Leonard Hasenclever Rae Jeong Yee Whye Teh N. Heess OffRL 88 1 0 10 Sep 2020
Computational prediction of RNA tertiary structures using machine learning methods Bin Huang Yuanyang Du Shuai Zhang Wenfei Li Jun Wang Jian Zhang AI4CE 27 5 0 03 Sep 2020
A Meta-Learning Control Algorithm with Provable Finite-Time Guarantees Deepan Muthirayan Pramod P. Khargonekar 88 0 0 30 Aug 2020
Meta Reinforcement Learning-Based Lane Change Strategy for Autonomous Vehicles Fei Ye Pin Wang Ching-yao Chan Jiucai Zhang 50 20 0 28 Aug 2020
DMRO:A Deep Meta Reinforcement Learning-based Task Offloading Framework for Edge-Cloud Computing Guanjin Qu Huaming Wu OffRL 77 185 0 23 Aug 2020
OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation Hongyu Ren Yuke Zhu J. Leskovec Anima Anandkumar Animesh Garg LRM 47 4 0 17 Aug 2020
Offline Meta-Reinforcement Learning with Advantage Weighting E. Mitchell Rafael Rafailov Xue Bin Peng Sergey Levine Chelsea Finn OffRL 131 108 0 13 Aug 2020
Meta Learning MPC using Finite-Dimensional Gaussian Process Approximations Elena Arcari Andrea Carron Melanie Zeilinger 51 15 0 13 Aug 2020
Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices Emmy Liu Aditi Raghunathan Percy Liang Chelsea Finn OffRL 122 67 0 06 Aug 2020
Offline Meta Learning of Exploration Ron Dorfman Idan Shenfeld Aviv Tamar OffRL 94 20 0 06 Aug 2020
Learning from Few Samples: A Survey Nihar Bendre Hugo Terashima-Marín Peyman Najafirad VLM BDL 87 54 0 30 Jul 2020
Modular Transfer Learning with Transition Mismatch Compensation for Excessive Disturbance Rejection Tianming Wang Wenjie Lu H. Yu Dikai Liu 89 1 0 29 Jul 2020