Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

28 April 2020

Papers citing "Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels"

33 / 183 papers shown

Title
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability Dibya Ghosh Jad Rahme Aviral Kumar Amy Zhang Ryan P. Adams Sergey Levine OffRL 272 109 0 13 Jul 2021
CoBERL: Contrastive BERT for Reinforcement Learning Andrea Banino Adria Puidomenech Badia Jacob Walker Tim Scholtes Jovana Mitrović Charles Blundell OffRL 30 36 0 12 Jul 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation Nicklas Hansen H. Su Xiaolong Wang OffRL 26 133 0 01 Jul 2021
Goal-Conditioned Reinforcement Learning with Imagined Subgoals Elliot Chane-Sane Cordelia Schmid Ivan Laptev 19 139 0 01 Jul 2021
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation Stephen James Kentaro Wada Tristan Laidlow Andrew J. Davison 20 124 0 23 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
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
Direct Differentiable Augmentation Search Aoming Liu Zehao Huang Zhiwu Huang Naiyan Wang 25 32 0 09 Apr 2021
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model Thanh Nguyen T. Luu Thang Vu Chang-Dong Yoo 15 17 0 15 Mar 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning Samarth Sinha Ajay Mandlekar Animesh Garg OffRL 24 104 0 10 Mar 2021
Behavior From the Void: Unsupervised Active Pre-Training Hao Liu Pieter Abbeel VLM SSL 34 194 0 08 Mar 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 75 980 0 03 Mar 2021
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning Victor Campos Pablo Sprechmann S. Hansen André Barreto Steven Kapturowski Alex Vitvitskyi Adria Puigdomenech Badia Charles Blundell OffRL OnRL 28 26 0 24 Feb 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 131 101 0 07 Jan 2021
How to Train PointGoal Navigation Agents on a (Sample and Compute) Budget Erik Wijmans Irfan Essa Dhruv Batra 3DPC 19 10 0 11 Dec 2020
A Geometric Perspective on Self-Supervised Policy Adaptation Cristian Bodnar Karol Hausman Gabriel Dulac-Arnold Rico Jonschkowski SSL 33 5 0 14 Nov 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 31 55 0 15 Oct 2020
Latent World Models For Intrinsically Motivated Exploration Aleksandr Ermolov N. Sebe 25 24 0 05 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 39 809 0 05 Oct 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
Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics V. Ramasesh Ethan Dyer M. Raghu CLL 24 173 0 14 Jul 2020
Meta-Learning Requires Meta-Augmentation Janarthanan Rajendran A. Irpan Eric Jang 18 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 28 155 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 43 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 22 109 0 23 Jun 2020
Rotation, Translation, and Cropping for Zero-Shot Generalization Chang Ye Ahmed Khalifa Philip Bontrager Julian Togelius 26 38 0 27 Jan 2020
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks Youngwoon Lee E. Hu Zhengyu Yang Alexander Yin Joseph J. Lim 31 120 0 17 Nov 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 25 371 0 01 Jul 2019
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,634 0 03 Jul 2012