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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
Skill-based Meta-Reinforcement Learning Taewook Nam Shao-Hua Sun Karl Pertsch Sung Ju Hwang Joseph J. Lim OffRL 87 44 0 25 Apr 2022
Control-oriented meta-learning Spencer M. Richards Navid Azizan Jean-Jacques E. Slotine Marco Pavone 77 26 0 14 Apr 2022
Online No-regret Model-Based Meta RL for Personalized Navigation Yuda Song Ye Yuan Wen Sun Kris Kitani 83 0 0 05 Apr 2022
Factored Adaptation for Non-Stationary Reinforcement Learning Fan Feng Erdun Gao Kun Zhang Sara Magliacane CML OffRL 134 34 0 30 Mar 2022
Modular Adaptive Policy Selection for Multi-Task Imitation Learning through Task Division Dafni Antotsiou C. Ciliberto Tae-Kyun Kim 47 3 0 28 Mar 2022
One After Another: Learning Incremental Skills for a Changing World Nur Muhammad (Mahi) Shafiullah Lerrel Pinto CLL 73 13 0 21 Mar 2022
Safe adaptation in multiagent competition Macheng Shen Jonathan P. How TTA 65 1 0 14 Mar 2022
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning Hongpeng Cao Mirco Theile Federico G. Wyrwal Marco Caccamo 108 8 0 04 Mar 2022
Transfer Dynamics in Emergent Evolutionary Curricula Aaron Dharna Amy K. Hoover Julian Togelius Lisa Soros 108 6 0 03 Mar 2022
First do not fall: learning to exploit a wall with a damaged humanoid robot Timothée Anne Eloïse Dalin Ivan Bergonzani S. Ivaldi Jean-Baptiste Mouret 22 3 0 01 Mar 2022
A History of Meta-gradient: Gradient Methods for Meta-learning R. Sutton 61 11 0 20 Feb 2022
Robust Policy Learning over Multiple Uncertainty Sets Annie Xie Shagun Sodhani Chelsea Finn Joelle Pineau Amy Zhang OOD OffRL 84 19 0 14 Feb 2022
Fast Model-based Policy Search for Universal Policy Networks B. L. Semage Thommen George Karimpanal Santu Rana Svetha Venkatesh 72 1 0 11 Feb 2022
Interactron: Embodied Adaptive Object Detection Klemen Kotar Roozbeh Mottaghi 95 25 0 01 Feb 2022
Generalizing to New Physical Systems via Context-Informed Dynamics Model Matthieu Kirchmeyer Yuan Yin Jérémie Donà Nicolas Baskiotis A. Rakotomamonjy Patrick Gallinari OOD AI4CE 162 37 0 01 Feb 2022
DROPO: Sim-to-Real Transfer with Offline Domain Randomization Gabriele Tiboni Karol Arndt Ville Kyrki 61 28 0 20 Jan 2022
Demystifying Reinforcement Learning in Time-Varying Systems Pouya Hamadanian Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh 137 2 0 14 Jan 2022
Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module Wei-Cheng Tseng Wei Wei Da-Cheng Juan Min Sun 83 2 0 14 Dec 2021
MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance Michael Luo Ashwin Balakrishna Brijen Thananjeyan Suraj Nair Julian Ibarz Jie Tan Chelsea Finn Ion Stoica Ken Goldberg OffRL 73 4 0 07 Dec 2021
Coupling Vision and Proprioception for Navigation of Legged Robots Zipeng Fu Ashish Kumar Ananye Agarwal Haozhi Qi Jitendra Malik Deepak Pathak 70 78 0 03 Dec 2021
$Improving the Robustness of Reinforcement Learning Policies with $\mathcal{L}_{1}$ Adaptive Control$ Improving the Robustness of Reinforcement Learning Policies with $\mathcal{L}_{1}$ Adaptive Control Y. Cheng Penghui Zhao F. Wang D. Block N. Hovakimyan 119 9 0 03 Dec 2021
Tool as Embodiment for Recursive Manipulation Yukiyasu Noguchi T. Matsushima Y. Matsuo S. Gu 76 7 0 01 Dec 2021
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning Robert Kirk Amy Zhang Edward Grefenstette Tim Rocktaschel OffRL 103 172 0 18 Nov 2021
Online Meta Adaptation for Variable-Rate Learned Image Compression Wei Jiang Wei Wang Songnan Li Shan Liu 63 8 0 16 Nov 2021
ModelLight: Model-Based Meta-Reinforcement Learning for Traffic Signal Control Xingshuai Huang Di Wu M. Jenkin Benoit Boulet 67 15 0 15 Nov 2021
Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning Rujikorn Charakorn P. Manoonpong Nat Dilokthanakul 85 5 0 05 Nov 2021
Procedural Generalization by Planning with Self-Supervised World Models Ankesh Anand Jacob Walker Yazhe Li Eszter Vértes Julian Schrittwieser Sherjil Ozair T. Weber Jessica B. Hamrick 80 31 0 02 Nov 2021
Robot Learning from Randomized Simulations: A Review Fabio Muratore Fabio Ramos Greg Turk Wenhao Yu Michael Gienger Jan Peters AI4CE 119 83 0 01 Nov 2021
GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL Sumedh Anand Sontakke Stephen Iota Zizhao Hu Arash Mehrjou Laurent Itti Bernhard Schölkopf OODD 57 2 0 29 Oct 2021
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning Junsup Kim Younggyo Seo Jinwoo Shin 121 62 0 26 Oct 2021
Learning Robust Controllers Via Probabilistic Model-Based Policy Search V. Charvet B. S. Jensen R. Murray-Smith 73 2 0 26 Oct 2021
A Simple Approach to Continual Learning by Transferring Skill Parameters K.R. Zentner Ryan Julian Ujjwal Puri Yulun Zhang Gaurav Sukhatme CLL 71 3 0 19 Oct 2021
Block Contextual MDPs for Continual Learning Shagun Sodhani Franziska Meier Joelle Pineau Amy Zhang CLL 114 27 0 13 Oct 2021
REIN-2: Giving Birth to Prepared Reinforcement Learning Agents Using Reinforcement Learning Agents A. Lazaridis I. Vlahavas OffRL 55 2 0 11 Oct 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey Amjad Yousef Majid Serge Saaybi Tomas van Rietbergen Vincent François-Lavet R. V. Prasad Chris Verhoeven OffRL 132 60 0 28 Sep 2021
Lifelong Robotic Reinforcement Learning by Retaining Experiences Annie Xie Chelsea Finn OffRL CLL 151 48 0 19 Sep 2021
Infusing model predictive control into meta-reinforcement learning for mobile robots in dynamic environments Jaeuk Shin A. Hakobyan Mingyu Park Yeoneung Kim Gihun Kim Insoon Yang 67 11 0 15 Sep 2021
Federated Ensemble Model-based Reinforcement Learning in Edge Computing Jin Wang Jia Hu Jed Mills Geyong Min Ming Xia FedML 48 23 0 12 Sep 2021
Continual Backprop: Stochastic Gradient Descent with Persistent Randomness Shibhansh Dohare R. Sutton A. R. Mahmood CLL 147 82 0 13 Aug 2021
Meta-Reinforcement Learning in Broad and Non-Parametric Environments Zhenshan Bing Lukas Knak F. O. Morin Kai-Qi Huang Alois C. Knoll OffRL 63 19 0 08 Aug 2021
Ada-VSR: Adaptive Video Super-Resolution with Meta-Learning Akash Gupta P. Jonnalagedda B. Bhanu Amit K. Roy-Chowdhury 59 6 0 05 Aug 2021
The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts Amanda Prorok J. Blumenkamp Qingbiao Li Ryan Kortvelesy Zhe Liu Ethan Stump OffRL 67 5 0 26 Jul 2021
RMA: Rapid Motor Adaptation for Legged Robots Ashish Kumar Zipeng Fu Deepak Pathak Jitendra Malik 182 584 0 08 Jul 2021
Adaptation of Quadruped Robot Locomotion with Meta-Learning A. Kuzhamuratov Dmitry Sorokin Alexander Ulanov A. Lvovsky 37 0 0 08 Jul 2021
Deep Learning for Embodied Vision Navigation: A Survey Fengda Zhu Yi Zhu Vincent CS Lee Xiaodan Liang Xiaojun Chang EgoV LM&Ro 101 0 0 07 Jul 2021
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning Erdun Gao Fan Feng Chaochao Lu Sara Magliacane Kun Zhang 104 68 0 06 Jul 2021
How to Train Your MAML to Excel in Few-Shot Classification Han-Jia Ye Wei-Lun Chao 103 50 0 30 Jun 2021
Model-Advantage and Value-Aware Models for Model-Based Reinforcement Learning: Bridging the Gap in Theory and Practice Nirbhay Modhe Harish Kamath Dhruv Batra Ashwin Kalyan OffRL 41 2 0 26 Jun 2021
Shallow Representation is Deep: Learning Uncertainty-aware and Worst-case Random Feature Dynamics Diego Agudelo-España Yassine Nemmour Bernhard Schölkopf Jia-Jie Zhu OOD BDL 38 0 0 24 Jun 2021
Unbiased Methods for Multi-Goal Reinforcement Learning Léonard Blier Yann Ollivier OffRL 29 6 0 16 Jun 2021