Reinforcement Learning with Augmented Data

30 April 2020

Pieter Abbeel

Papers citing "Reinforcement Learning with Augmented Data"

48 / 148 papers shown

Title
Validate on Sim, Detect on Real -- Model Selection for Domain Randomization Gal Leibovich Guy Jacob Shadi Endrawis Gal Novik Aviv Tamar 12 7 0 01 Nov 2021
Mastering Atari Games with Limited Data Weirui Ye Shao-Wei Liu Thanard Kurutach Pieter Abbeel Yang Gao VLM 40 222 0 30 Oct 2021
Equivariant $Q$ Learning in Spatial Action Spaces Dian Wang Robin G. Walters Xu Zhu Robert W. Platt 25 72 0 28 Oct 2021
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives Murtaza Dalal Deepak Pathak Ruslan Salakhutdinov 21 90 0 28 Oct 2021
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations Fei Deng Ingook Jang Sungjin Ahn VLM 24 62 0 27 Oct 2021
Learning Domain Invariant Representations in Goal-conditioned Block MDPs Beining Han Chongyi Zheng Harris Chan Keiran Paster Michael Ruogu Zhang Jimmy Ba OOD AI4CE 18 13 0 27 Oct 2021
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning Kibeom Kim Min Whoo Lee Yoonsung Kim Je-hwan Ryu Minsu Lee Byoung-Tak Zhang 11 8 0 25 Oct 2021
Efficient Robotic Manipulation Through Offline-to-Online Reinforcement Learning and Goal-Aware State Information Jin Li Xianyuan Zhan Zixu Xiao Guyue Zhou OffRL OnRL 22 2 0 21 Oct 2021
OPEn: An Open-ended Physics Environment for Learning Without a Task Chuang Gan Abhishek Bhandwaldar Antonio Torralba J. Tenenbaum Phillip Isola LRM 130 4 0 13 Oct 2021
Multi-Agent MDP Homomorphic Networks Elise van der Pol H. V. Hoof F. Oliehoek Max Welling AI4CE 46 28 0 09 Oct 2021
Pretraining & Reinforcement Learning: Sharpening the Axe Before Cutting the Tree Saurav Kadavath Samuel Paradis Brian Yao VLM CLIP OffRL OnRL 12 1 0 06 Oct 2021
Reinforcement Learning on Encrypted Data Alberto Jesu Victor-Alexandru Darvariu Alessandro Staffolani R. Montanari Mirco Musolesi OffRL 11 1 0 16 Sep 2021
Vision Transformer for Learning Driving Policies in Complex Multi-Agent Environments E. Kargar Ville Kyrki ViT 13 12 0 14 Sep 2021
Learning to Navigate Sidewalks in Outdoor Environments Maks Sorokin Jie Tan Karen Liu Sehoon Ha 26 41 0 12 Sep 2021
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures Jiawei Wang Zicheng He Chunwei Song Changyin Sun 30 54 0 31 Aug 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice Rishabh Agarwal Max Schwarzer P. S. Castro Aaron Courville Marc G. Bellemare OffRL 36 630 0 30 Aug 2021
Active Reinforcement Learning over MDPs Qi Yang Peng Yang K. Tang 33 0 0 05 Aug 2021
Distributionally Robust Policy Learning via Adversarial Environment Generation Allen Z. Ren Anirudha Majumdar OOD 96 15 0 13 Jul 2021
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers Ruihan Yang Minghao Zhang Nicklas Hansen Huazhe Xu Xiaolong Wang OffRL 13 100 0 08 Jul 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation Nicklas Hansen H. Su Xiaolong Wang OffRL 15 133 0 01 Jul 2021
Goal-Conditioned Reinforcement Learning with Imagined Subgoals Elliot Chane-Sane Cordelia Schmid Ivan Laptev 11 138 0 01 Jul 2021
Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation Hanping Zhang Yuhong Guo 22 23 0 29 Jun 2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies Linxi Fan Guanzhi Wang De-An Huang Zhiding Yu Li Fei-Fei Yuke Zhu Anima Anandkumar OffRL 15 62 0 17 Jun 2021
Tactile Sim-to-Real Policy Transfer via Real-to-Sim Image Translation Alex Church John Lloyd R. Hadsell Nathan Lepora 33 50 0 16 Jun 2021
Learning Markov State Abstractions for Deep Reinforcement Learning Cameron Allen Neev Parikh Omer Gottesman George Konidaris BDL OffRL 23 35 0 08 Jun 2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning Tao Yu Cuiling Lan Wenjun Zeng Mingxiao Feng Zhizheng Zhang Zhibo Chen OffRL 20 46 0 08 Jun 2021
Safety Enhancement for Deep Reinforcement Learning in Autonomous Separation Assurance Wei Guo Marc Brittain Peng Wei 16 18 0 05 May 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning Samarth Sinha Ajay Mandlekar Animesh Garg OffRL 24 104 0 10 Mar 2021
Consistency Regularization for Adversarial Robustness Jihoon Tack Sihyun Yu Jongheon Jeong Minseon Kim S. Hwang Jinwoo Shin AAML 31 57 0 08 Mar 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 63 980 0 03 Mar 2021
Memory-Augmented Reinforcement Learning for Image-Goal Navigation Lina Mezghani Sainbayar Sukhbaatar Thibaut Lavril Oleksandr Maksymets Dhruv Batra Piotr Bojanowski Alahari Karteek 24 69 0 13 Jan 2021
The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels Austin Stone Oscar Ramirez K. Konolige Rico Jonschkowski 129 101 0 07 Jan 2021
How to Train PointGoal Navigation Agents on a (Sample and Compute) Budget Erik Wijmans Irfan Essa Dhruv Batra 3DPC 17 10 0 11 Dec 2020
Masked Contrastive Representation Learning for Reinforcement Learning Jinhua Zhu Yingce Xia Lijun Wu Jiajun Deng Wen-gang Zhou Tao Qin Houqiang Li SSL OffRL 28 55 0 15 Oct 2020
TUTOR: Training Neural Networks Using Decision Rules as Model Priors Shayan Hassantabar Prerit Terway N. Jha 25 10 0 12 Oct 2020
Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning Lucas Manuelli Yunzhu Li Peter R. Florence Russ Tedrake SSL 22 102 0 10 Sep 2020
Predictive Information Accelerates Learning in RL Kuang-Huei Lee Ian S. Fischer Anthony Z. Liu Yijie Guo Honglak Lee John F. Canny S. Guadarrama 15 72 0 24 Jul 2020
Meta-Learning Requires Meta-Augmentation Janarthanan Rajendran A. Irpan Eric Jang 16 93 0 10 Jul 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning Kimin Lee Michael Laskin A. Srinivas Pieter Abbeel OffRL 11 199 0 09 Jul 2020
Self-Supervised Policy Adaptation during Deployment Nicklas Hansen Rishabh Jangir Yu Sun Guillem Alenyà Pieter Abbeel Alexei A. Efros Lerrel Pinto Xiaolong Wang 30 159 0 08 Jul 2020
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning Elise van der Pol Daniel E. Worrall H. V. Hoof F. Oliehoek Max Welling BDL AI4CE 11 155 0 30 Jun 2020
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation L. Guan Mudit Verma Sihang Guo Ruohan Zhang Subbarao Kambhampati 38 42 0 26 Jun 2020
Automatic Data Augmentation for Generalization in Deep Reinforcement Learning Roberta Raileanu M. Goldstein Denis Yarats Ilya Kostrikov Rob Fergus OffRL 22 108 0 23 Jun 2020
Rotation, Translation, and Cropping for Zero-Shot Generalization Chang Ye Ahmed Khalifa Philip Bontrager Julian Togelius 24 38 0 27 Jan 2020
Direct and indirect reinforcement learning Yang Guan Shengbo Eben Li Jingliang Duan Jie Li Yangang Ren Qi Sun B. Cheng OffRL 22 34 0 23 Dec 2019
Attention-Privileged Reinforcement Learning Sasha Salter Dushyant Rao Markus Wulfmeier R. Hadsell Ingmar Posner 23 8 0 19 Nov 2019
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks Youngwoon Lee E. Hu Zhengyu Yang Alexander Yin Joseph J. Lim 23 120 0 17 Nov 2019
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 223 809 0 13 Nov 2016