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Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning

30 March 2018

Pieter Abbeel

Papers citing "Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning"

50 / 328 papers shown

Title
A Survey of Deep Meta-Learning Mike Huisman Jan N. van Rijn Aske Plaat 201 334 0 07 Oct 2020
Complementary Meta-Reinforcement Learning for Fault-Adaptive Control Ibrahim Ahmed Marcos Quiñones-Grueiro G. Biswas 36 8 0 26 Sep 2020
Adaptive Meta-Learning for Identification of Rover-Terrain Dynamics Somrita Banerjee James Harrison P. M. Furlong Marco Pavone 57 15 0 21 Sep 2020
Detecting and adapting to crisis pattern with context based Deep Reinforcement Learning Eric Benhamou David Saltiel Jean-Jacques Ohana Jamal Atif 50 19 0 07 Sep 2020
On the model-based stochastic value gradient for continuous reinforcement learning Brandon Amos Samuel Stanton Denis Yarats A. Wilson 76 71 0 28 Aug 2020
Meta Reinforcement Learning-Based Lane Change Strategy for Autonomous Vehicles Fei Ye Pin Wang Ching-yao Chan Jiucai Zhang 42 20 0 28 Aug 2020
learn2learn: A Library for Meta-Learning Research Sébastien M. R. Arnold Praateek Mahajan Debajyoti Datta Ian Bunner Konstantinos Saitas Zarkias 121 96 0 27 Aug 2020
Safe Active Dynamics Learning and Control: A Sequential Exploration-Exploitation Framework T. Lew Apoorva Sharma James Harrison Andrew Bylard Marco Pavone 98 47 0 26 Aug 2020
ADAIL: Adaptive Adversarial Imitation Learning Balaraman Ravindran Sergey Levine 50 7 0 23 Aug 2020
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings Jesse Zhang Brian Cheung Chelsea Finn Sergey Levine Dinesh Jayaraman 83 60 0 15 Aug 2020
Offline Meta-Reinforcement Learning with Advantage Weighting E. Mitchell Rafael Rafailov Xue Bin Peng Sergey Levine Chelsea Finn OffRL 111 108 0 13 Aug 2020
Meta Learning MPC using Finite-Dimensional Gaussian Process Approximations Elena Arcari Andrea Carron Melanie Zeilinger 46 15 0 13 Aug 2020
Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices Emmy Liu Aditi Raghunathan Percy Liang Chelsea Finn OffRL 114 67 0 06 Aug 2020
Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning Xingyu Lu Kimin Lee Pieter Abbeel Stas Tiomkin DRL AI4CE 67 34 0 03 Aug 2020
Modular Transfer Learning with Transition Mismatch Compensation for Excessive Disturbance Rejection Tianming Wang Wenjie Lu H. Yu Dikai Liu 87 1 0 29 Jul 2020
Lifelong Incremental Reinforcement Learning with Online Bayesian Inference Zhi Wang Chunlin Chen D. Dong CLL OffRL 74 56 0 28 Jul 2020
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting Jorge Armando Mendez Mendez Boyu Wang Eric Eaton CLL 73 38 0 14 Jul 2020
Meta-active Learning in Probabilistically-Safe Optimization Mariah L. Schrum M. Connolly Eric R. Cole Mihir Ghetiya R. Gross Matthew C. Gombolay 61 12 0 07 Jul 2020
Model-based Reinforcement Learning: A Survey Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 105 49 0 30 Jun 2020
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers Benjamin Eysenbach Swapnil Asawa Shreyas Chaudhari Sergey Levine Ruslan Salakhutdinov 106 94 0 24 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 100 35 0 19 Jun 2020
Model-based Adversarial Meta-Reinforcement Learning Zichuan Lin G. Thomas Guangwen Yang Tengyu Ma OOD 74 52 0 16 Jun 2020
Provably Efficient Model-based Policy Adaptation Yuda Song Aditi Mavalankar Wen Sun Sicun Gao TTA OffRL 74 10 0 14 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 93 40 0 12 Jun 2020
Exploration by Maximizing Rényi Entropy for Reward-Free RL Framework Wei Shen Yuanying Cai Longbo Huang Jian Li OffRL 37 1 0 11 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
Time-Variant Variational Transfer for Value Functions Giuseppe Canonaco Andrea Soprani M. Roveri Marcello Restelli OOD 69 0 0 26 May 2020
Optimizing for the Future in Non-Stationary MDPs Yash Chandak Georgios Theocharous Shiv Shankar Martha White Sridhar Mahadevan Philip S. Thomas OffRL 84 65 0 17 May 2020
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning Kimin Lee Younggyo Seo Seunghyun Lee Honglak Lee Jinwoo Shin 101 133 0 14 May 2020
Self-Supervised Deep Visual Odometry with Online Adaptation Shunkai Li Xin Wang Yingdian Cao Fei Xue Zike Yan H. Zha TTA 57 73 0 13 May 2020
Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization Pierre-Alexandre Kamienny Matteo Pirotta A. Lazaric Thibault Lavril Nicolas Usunier Ludovic Denoyer 85 18 0 06 May 2020
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning Ryan Julian Benjamin Swanson Gaurav Sukhatme Sergey Levine Chelsea Finn Karol Hausman OnRL CLL 85 43 0 21 Apr 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning Huimin Peng VLM OffRL 90 35 0 17 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 412 1,998 0 11 Apr 2020
Learning Agile Robotic Locomotion Skills by Imitating Animals Xue Bin Peng Erwin Coumans Tingnan Zhang T. Lee Jie Tan Sergey Levine 156 510 0 02 Apr 2020
Learning State-Dependent Losses for Inverse Dynamics Learning Kristen Morse Neha Das Yixin Lin Austin S. Wang Akshara Rai Franziska Meier AI4CE 71 7 0 10 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
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks Micah Goldblum Steven Reich Liam H. Fowl Renkun Ni Valeriia Cherepanova Tom Goldstein SSL OffRL 109 75 0 17 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
Local Nonparametric Meta-Learning Wonjoon Goo S. Niekum 82 3 0 09 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
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 92 79 0 11 Dec 2019
Meta-Learning without Memorization Mingzhang Yin George Tucker Mingyuan Zhou Sergey Levine Chelsea Finn VLM 58 188 0 09 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 74 10 0 03 Dec 2019
Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving Rupert Mitchell Jenny Fletcher Jacopo Panerati Amanda Prorok 89 17 0 26 Nov 2019
Experience-Embedded Visual Foresight Yen-Chen Lin Maria Bauzá Phillip Isola 108 36 0 12 Nov 2019
Hierarchical Expert Networks for Meta-Learning Heinke Hihn Daniel A. Braun 77 4 0 31 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 288 1,182 0 24 Oct 2019
Learning Compositional Koopman Operators for Model-Based Control Yunzhu Li Hao He Jiajun Wu Dina Katabi Antonio Torralba 105 121 0 18 Oct 2019