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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"

28 / 328 papers shown

Title
Regularizing Model-Based Planning with Energy-Based Models Rinu Boney Arno Solin Alexander Ilin 76 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 75 41 0 09 Oct 2019
An empirical study of pretrained representations for few-shot classification Tiago Ramalho Laura Vana-Gur P. Filzmoser VLM 54 6 0 03 Oct 2019
MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics M. Barekatain Ryo Yonetani Masashi Hamaya 95 26 0 28 Sep 2019
Learning Fast Adaptation with Meta Strategy Optimization Wenhao Yu Jie Tan Yunfei Bai Erwin Coumans Sehoon Ha 86 94 0 28 Sep 2019
Meta Reinforcement Learning for Sim-to-real Domain Adaptation Karol Arndt Murtaza Hazara Ali Ghadirzadeh Ville Kyrki 173 106 0 16 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 112 35 0 12 Sep 2019
Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Yang Hu Giovanni Montana 50 6 0 14 Aug 2019
Adaptive Prior Selection for Repertoire-based Online Adaptation in Robotics Rituraj Kaushik P. Desreumaux Jean-Baptiste Mouret OffRL 83 34 0 16 Jul 2019
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
DOB-Net: Actively Rejecting Unknown Excessive Time-Varying Disturbances Tianming Wang Wenjie Lu Zheng Yan Dikai Liu 59 4 0 10 Jul 2019
Learning in Volatile Environments with the Bayes Factor Surprise Vasiliki Liakoni Alireza Modirshanechi W. Gerstner Johanni Brea 51 2 0 05 Jul 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 72 49 0 07 Jun 2019
Continual Reinforcement Learning in 3D Non-stationary Environments Vincenzo Lomonaco Karan Desai Eugenio Culurciello Davide Maltoni OffRL 49 42 0 24 May 2019
Meta Reinforcement Learning with Task Embedding and Shared Policy Lin Lan Zhenguo Li X. Guan Peijie Wang OffRL 121 50 0 16 May 2019
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records Xi Sheryl Zhang Fengyi Tang H. H. Dodge Jiayu Zhou Fei Wang 54 110 0 08 May 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 49 29 0 15 Apr 2019
Learning to Adapt for Stereo A. Tonioni Oscar Rahnama Thomas Joy Luigi Di Stefano Thalaiyasingam Ajanthan Philip Torr 105 85 0 05 Apr 2019
Guided Meta-Policy Search Russell Mendonca Abhishek Gupta Rosen Kralev Pieter Abbeel Sergey Levine Chelsea Finn 68 57 0 01 Apr 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables Kate Rakelly Aurick Zhou Deirdre Quillen Chelsea Finn Sergey Levine OffRL 90 662 0 19 Mar 2019
NoRML: No-Reward Meta Learning Yuxiang Yang Ken Caluwaerts Atil Iscen Jie Tan Chelsea Finn 77 27 0 04 Mar 2019
Low Level Control of a Quadrotor with Deep Model-Based Reinforcement Learning Nathan Lambert Daniel S. Drew Joseph Yaconelli Roberto Calandra Sergey Levine K. Pister 96 145 0 11 Jan 2019
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System Xinshi Chen Shuang Li Hui Li Shaohua Jiang Yuan Qi Le Song 82 209 0 27 Dec 2018
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL Anusha Nagabandi Chelsea Finn Sergey Levine OffRL CLL 107 191 0 18 Dec 2018
Meta-Learning Priors for Efficient Online Bayesian Regression James Harrison Apoorva Sharma Marco Pavone BDL 84 102 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 103 155 0 06 Jul 2018
Variance Reduction for Reinforcement Learning in Input-Driven Environments Hongzi Mao S. Venkatakrishnan Malte Schwarzkopf Mohammad Alizadeh OffRL 96 95 0 06 Jul 2018
Unsupervised Meta-Learning for Reinforcement Learning Abhishek Gupta Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 136 107 0 12 Jun 2018