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"

34 / 134 papers shown

Title
Lifelong Incremental Reinforcement Learning with Online Bayesian Inference Zhi Wang Chunlin Chen D. Dong CLL OffRL 20 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 36 38 0 14 Jul 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 28 34 0 19 Jun 2020
Model-based Adversarial Meta-Reinforcement Learning Zichuan Lin G. Thomas Guangwen Yang Tengyu Ma OOD 27 52 0 16 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 32 41 0 12 Jun 2020
Optimizing for the Future in Non-Stationary MDPs Yash Chandak Georgios Theocharous Shiv Shankar Martha White Sridhar Mahadevan Philip S. Thomas OffRL 16 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 45 125 0 14 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 14 19 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 33 43 0 21 Apr 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning Huimin Peng VLM OffRL 26 35 0 17 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 100 1,939 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 34 499 0 02 Apr 2020
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning Xingyou Song Yuxiang Yang K. Choromanski Ken Caluwaerts Wenbo Gao Chelsea Finn Jie Tan 114 79 0 02 Mar 2020
Local Nonparametric Meta-Learning Wonjoon Goo S. Niekum 34 3 0 09 Feb 2020
Continuous Meta-Learning without Tasks James Harrison Apoorva Sharma Chelsea Finn Marco Pavone CLL OOD 32 79 0 18 Dec 2019
Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving Rupert Mitchell Jenny Fletcher Jacopo Panerati Amanda Prorok 32 17 0 26 Nov 2019
Experience-Embedded Visual Foresight Yen-Chen Lin Maria Bauzá Phillip Isola 22 35 0 12 Nov 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 106 1,132 0 24 Oct 2019
Learning Compositional Koopman Operators for Model-Based Control Yunzhu Li Hao He Jiajun Wu Dina Katabi Antonio Torralba 34 113 0 18 Oct 2019
Regularizing Model-Based Planning with Energy-Based Models Rinu Boney Arno Solin Alexander Ilin 19 18 0 12 Oct 2019
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models Arunkumar Byravan Jost Tobias Springenberg A. Abdolmaleki Roland Hafner Michael Neunert Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller OffRL 17 41 0 09 Oct 2019
Learning Fast Adaptation with Meta Strategy Optimization Wenhao Yu Jie Tan Yunfei Bai Erwin Coumans Sehoon Ha 28 93 0 28 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 23 35 0 12 Sep 2019
Adaptive Prior Selection for Repertoire-based Online Adaptation in Robotics Rituraj Kaushik P. Desreumaux Jean-Baptiste Mouret OffRL 13 34 0 16 Jul 2019
Learning in Volatile Environments with the Bayes Factor Surprise Vasiliki Liakoni Alireza Modirshanechi W. Gerstner Johanni Brea 24 2 0 05 Jul 2019
Learning to Guide: Guidance Law Based on Deep Meta-learning and Model Predictive Path Integral Control Chen Liang Weihong Wang Zhenghua Liu Chao Lai Benchun Zhou 19 28 0 15 Apr 2019
Learning to Adapt for Stereo A. Tonioni Oscar Rahnama Thomas Joy Luigi Di Stefano Thalaiyasingam Ajanthan Philip Torr 13 84 0 05 Apr 2019
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System Xinshi Chen Shuang Li Hui Li Shaohua Jiang Yuan Qi Le Song 22 207 0 27 Dec 2018
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL Anusha Nagabandi Chelsea Finn Sergey Levine OffRL CLL 25 192 0 18 Dec 2018
Meta-Learning Priors for Efficient Online Bayesian Regression James Harrison Apoorva Sharma Marco Pavone BDL 27 99 0 24 Jul 2018
A survey on policy search algorithms for learning robot controllers in a handful of trials Konstantinos Chatzilygeroudis Vassilis Vassiliades F. Stulp Sylvain Calinon Jean-Baptiste Mouret 17 155 0 06 Jul 2018
Variance Reduction for Reinforcement Learning in Input-Driven Environments Hongzi Mao S. Venkatakrishnan Malte Schwarzkopf Mohammad Alizadeh OffRL 41 95 0 06 Jul 2018
Unsupervised Meta-Learning for Reinforcement Learning Abhishek Gupta Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 54 106 0 12 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 508 11,727 0 09 Mar 2017