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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
Meta-Adaptive Nonlinear Control: Theory and Algorithms Guanya Shi Kamyar Azizzadenesheli Michael O'Connell Soon-Jo Chung Yisong Yue 104 41 0 11 Jun 2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning Tao Yu Cuiling Lan Wenjun Zeng Mingxiao Feng Zhizheng Zhang Zhibo Chen OffRL 99 46 0 08 Jun 2021
Robustifying Reinforcement Learning Policies with $\mathcal{L}_1$ Adaptive Control Yikun Cheng Pan Zhao Manan S. Gandhi Yue Liu Evangelos Theodorou N. Hovakimyan OffRL 95 0 0 04 Jun 2021
Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection L. N. Alegre A. Bazzan Bruno C. da Silva OffRL 54 23 0 20 May 2021
Meta-Reinforcement Learning by Tracking Task Non-stationarity Riccardo Poiani Andrea Tirinzoni Marcello Restelli OffRL 82 10 0 18 May 2021
Data-Driven Strategies for Hierarchical Predictive Control in Unknown Environments Charlott Vallon Francesco Borrelli 42 14 0 13 May 2021
Reinforcement Learning and Control of a Lower Extremity Exoskeleton for Squat Assistance S. Luo G. Androwis S. Adamovich H. Su X. Zhou 35 34 0 07 May 2021
Adaptive Adversarial Training for Meta Reinforcement Learning Shiqi Chen Zhengyu Chen Donglin Wang 68 7 0 27 Apr 2021
Quick Learner Automated Vehicle Adapting its Roadmanship to Varying Traffic Cultures with Meta Reinforcement Learning Songan Zhang Lu Wen H. Peng H. E. Tseng 34 10 0 18 Apr 2021
Embedding Adaptation is Still Needed for Few-Shot Learning Sébastien M. R. Arnold Fei Sha VLM 90 7 0 15 Apr 2021
Rapid Exploration for Open-World Navigation with Latent Goal Models Dhruv Shah Benjamin Eysenbach G. Kahn Nicholas Rhinehart Sergey Levine 137 75 0 12 Apr 2021
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment Philip J. Ball Cong Lu Jack Parker-Holder Stephen J. Roberts OffRL 96 45 0 12 Apr 2021
Robust Reinforcement Learning under model misspecification Lebin Yu Jian Wang Xudong Zhang OOD 59 2 0 29 Mar 2021
A Practical Guide to Multi-Objective Reinforcement Learning and Planning Conor F. Hayes Roxana Ruadulescu Eugenio Bargiacchi Johan Källström Matthew Macfarlane ... Ann Nowé Gabriel de Oliveira Ramos Marcello Restelli Peter Vamplew D. Roijers OffRL 91 341 0 17 Mar 2021
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks Zhou Xian Shamit Lal H. Tung Emmanouil Antonios Platanios Katerina Fragkiadaki AI4CE 108 23 0 17 Mar 2021
Domain Curiosity: Learning Efficient Data Collection Strategies for Domain Adaptation Karol Arndt Oliver Struckmeier Ville Kyrki 46 1 0 12 Mar 2021
Improving Context-Based Meta-Reinforcement Learning with Self-Supervised Trajectory Contrastive Learning Bernie Wang Si-ting Xu Kurt Keutzer Yang Gao Bichen Wu SSL OffRL 55 7 0 10 Mar 2021
Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems Spencer M. Richards Navid Azizan Jean-Jacques E. Slotine Marco Pavone 83 73 0 07 Mar 2021
Deep reinforcement learning in medical imaging: A literature review S. Kevin Zhou Hoang Ngan Le Khoa Luu Hien V Nguyen N. Ayache LM&MA OffRL MedIm 77 149 0 05 Mar 2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms Ali Ghadirzadeh Xi Chen Petra Poklukar Chelsea Finn Mårten Björkman Danica Kragic BDL 95 41 0 05 Mar 2021
Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models Jan Achterhold Joerg Stueckler 80 7 0 22 Feb 2021
Training a Resilient Q-Network against Observational Interference Chao-Han Huck Yang I-Te Danny Hung Ouyang Yi Pin-Yu Chen OOD 59 15 0 18 Feb 2021
POLA: Online Time Series Prediction by Adaptive Learning Rates Wenyu Zhang AI4TS 27 3 0 17 Feb 2021
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models Q. Wang H. V. Hoof OffRL 65 20 0 16 Feb 2021
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators Anish Agarwal Abdullah Alomar Varkey Alumootil Devavrat Shah Dennis Shen Zhi Xu Cindy Yang OffRL 76 18 0 13 Feb 2021
Transfer Reinforcement Learning across Homotopy Classes Zhangjie Cao Minae Kwon Dorsa Sadigh 49 17 0 10 Feb 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 158 535 0 04 Feb 2021
GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning Juhyoung Lee Sangyeob Kim Sangjin Kim Wooyoung Jo H. Yoo OffRL 63 9 0 24 Jan 2021
Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot Dynamics and Environments Timothée Anne Jack Wilkinson Zhibin Li 80 1 0 19 Jan 2021
SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning Yifeng Jiang Tingnan Zhang Daniel Ho Yunfei Bai Chenxi Liu Sergey Levine Jie Tan GAN 97 57 0 15 Jan 2021
Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning Renke Huang Yujiao Chen Tianzhixi Yin Qiuhua Huang Jie Tan Wenhao Yu Xinya Li Ang Li Yan Du AI4CE 49 33 0 13 Jan 2021
Recoding latent sentence representations -- Dynamic gradient-based activation modification in RNNs Dennis Ulmer 45 0 0 03 Jan 2021
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments Baiming Chen Zuxin Liu Jiacheng Zhu Mengdi Xu Wenhao Ding Ding Zhao 64 38 0 02 Jan 2021
When Is Generalizable Reinforcement Learning Tractable? Dhruv Malik Yuanzhi Li Pradeep Ravikumar OffRL 191 25 0 01 Jan 2021
Online Service Migration in Mobile Edge with Incomplete System Information: A Deep Recurrent Actor-Critic Learning Approach Jin Wang Jia Hu Geyong Min Qiang Ni Tarek A. El-Ghazawi 63 31 0 16 Dec 2020
Performance-Weighed Policy Sampling for Meta-Reinforcement Learning Ibrahim Ahmed Marcos Quiñones-Grueiro G. Biswas 42 2 0 10 Dec 2020
Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation Chenyang Zhao Timothy M. Hospedales OOD 49 16 0 09 Dec 2020
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications Shuyan Hu Xiaojing Chen Wei Ni Ekram Hossain Xin Wang AI4CE 108 115 0 02 Dec 2020
Double Meta-Learning for Data Efficient Policy Optimization in Non-Stationary Environments Elahe Aghapour Nora Ayanian OffRL 30 4 0 21 Nov 2020
MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty A. Guha Anuradha M. Annaswamy 56 12 0 20 Nov 2020
Fault-Aware Robust Control via Adversarial Reinforcement Learning Fan Yang Chao Yang Di Guo Huaping Liu F. Sun 61 4 0 17 Nov 2020
Blind Decision Making: Reinforcement Learning with Delayed Observations Mridul Agarwal Vaneet Aggarwal OffRL 33 23 0 16 Nov 2020
Specialization in Hierarchical Learning Systems Heinke Hihn Daniel A. Braun 78 16 0 03 Nov 2020
Information-theoretic Task Selection for Meta-Reinforcement Learning Ricardo Luna Gutierrez Matteo Leonetti 74 18 0 02 Nov 2020
System Identification via Meta-Learning in Linear Time-Varying Environments Sen Lin Hang Wang Junshan Zhang OffRL 55 2 0 27 Oct 2020
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL Saurabh Kumar Aviral Kumar Sergey Levine Chelsea Finn OffRL 68 95 0 27 Oct 2020
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning Younggyo Seo Kimin Lee I. Clavera Thanard Kurutach Jinwoo Shin Pieter Abbeel 81 39 0 26 Oct 2020
Few-shot model-based adaptation in noisy conditions Karol Arndt Ali Ghadirzadeh Murtaza Hazara Ville Kyrki 62 8 0 16 Oct 2020
Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments Zhi Wang Chunlin Chen D. Dong 41 12 0 09 Oct 2020
Learning Not to Learn: Nature versus Nurture in Silico R. T. Lange Henning Sprekeler 66 10 0 09 Oct 2020