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"

50 / 205 papers shown

Title
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks Litian Liang Yaosheng Xu Stephen Marcus McAleer Dailin Hu Alexander Ihler Pieter Abbeel Roy Fox OOD 24 16 0 16 Sep 2022
Continuous MDP Homomorphisms and Homomorphic Policy Gradient S. Rezaei-Shoshtari Rosie Zhao Prakash Panangaden D. Meger Doina Precup 33 18 0 15 Sep 2022
Concept-modulated model-based offline reinforcement learning for rapid generalization Nicholas A. Ketz Praveen K. Pilly OffRL 27 1 0 07 Sep 2022
Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving Haochen Liu Zhiyu Huang Xiaoyu Mo Chen Lv ViT OffRL 35 33 0 24 Aug 2022
Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration Zijian Gao Yiying Li Kele Xu Yuanzhao Zhai Dawei Feng Bo Ding Xinjun Mao Huaimin Wang 38 0 0 24 Aug 2022
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning Shuang Qiu Lingxiao Wang Chenjia Bai Zhuoran Yang Zhaoran Wang SSL OffRL 26 32 0 29 Jul 2022
Graph Inverse Reinforcement Learning from Diverse Videos Sateesh Kumar Jonathan Zamora Nicklas Hansen Rishabh Jangir Xiaolong Wang 35 53 0 28 Jul 2022
Learning Deformable Object Manipulation from Expert Demonstrations G. Salhotra Isabella Liu Marcus Dominguez-Kuhne Gaurav Sukhatme 34 27 0 20 Jul 2022
Bootstrap State Representation using Style Transfer for Better Generalization in Deep Reinforcement Learning Md Masudur Rahman Yexiang Xue OffRL 34 4 0 15 Jul 2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels Edoardo Cetin Philip J. Ball Steve Roberts Oya Celiktutan 30 36 0 03 Jul 2022
Masked World Models for Visual Control Younggyo Seo Danijar Hafner Hao Liu Fangchen Liu Stephen James Kimin Lee Pieter Abbeel OffRL 93 147 0 28 Jun 2022
Bootstrapped Transformer for Offline Reinforcement Learning Kerong Wang Hanye Zhao Xufang Luo Kan Ren Weinan Zhang Dongsheng Li OffRL 16 37 0 17 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 31 140 0 15 Jun 2022
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? Xiang Li Jinghuan Shang Srijan Das Michael S. Ryoo SSL 27 31 0 10 Jun 2022
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations Cong Lu Philip J. Ball Tim G. J. Rudner Jack Parker-Holder Michael A. Osborne Yee Whye Teh OffRL 32 52 0 09 Jun 2022
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu Bin Zhang Dapeng Li Zeren Zhang Guangchong Zhou Hao Chen Guoliang Fan 24 14 0 06 Jun 2022
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Rameswar Panda Marc G. Bellemare OffRL OnRL 37 63 0 03 Jun 2022
Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning Byungchan Ko Jungseul Ok OnRL 27 5 0 01 Jun 2022
BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework Dian Wang Colin Kohler Xu Zhu Ming Jia Robert W. Platt 27 9 0 28 May 2022
Nuclear Norm Maximization Based Curiosity-Driven Learning Chao Chen Zijian Gao Kele Xu Sen Yang Yiying Li Bo Ding Dawei Feng Huaimin Wang 158 5 0 21 May 2022
Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions Rui Yang Jie Wang Zijie Geng Mingxuan Ye Shuiwang Ji Bin Li Fengli Wu OOD 31 20 0 20 May 2022
Image Augmentation Based Momentum Memory Intrinsic Reward for Sparse Reward Visual Scenes Zheng Fang Biao Zhao Guizhong Liu 16 2 0 19 May 2022
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks Ryan M Sander Wilko Schwarting Tim Seyde Igor Gilitschenski S. Karaman Daniela Rus 41 2 0 18 May 2022
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Rameswar Panda OnRL 96 180 0 16 May 2022
Identical Image Retrieval using Deep Learning Sayan Nath Nikhil Nayak VLM 34 1 0 10 May 2022
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning Chenyu Sun Hangwei Qian Chunyan Miao OffRL 29 12 0 02 May 2022
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning Philippe Hansen-Estruch Amy Zhang Ashvin Nair Patrick Yin Sergey Levine AI4CE 31 27 0 27 Apr 2022
Local Feature Swapping for Generalization in Reinforcement Learning David Bertoin Emmanuel Rachelson OOD 21 14 0 13 Apr 2022
Evaluating Vision Transformer Methods for Deep Reinforcement Learning from Pixels Tianxin Tao Daniele Reda M. van de Panne ViT 11 19 0 11 Apr 2022
Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining Qihang Zhang Zhenghao Peng Bolei Zhou SSL 30 38 0 05 Apr 2022
Asynchronous Reinforcement Learning for Real-Time Control of Physical Robots Yufeng Yuan Rupam Mahmood OffRL 31 19 0 23 Mar 2022
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning L. Pullum 13 2 0 22 Mar 2022
Vision-Based Manipulators Need to Also See from Their Hands Kyle Hsu Moo Jin Kim Rafael Rafailov Jiajun Wu Chelsea Finn 34 44 0 15 Mar 2022
Temporal Difference Learning for Model Predictive Control Nicklas Hansen Xiaolong Wang H. Su PINN MU 36 224 0 09 Mar 2022
On-Robot Learning With Equivariant Models Dian Wang Ming Jia Xu Zhu Robin Walters Robert W. Platt OffRL SSL 28 35 0 09 Mar 2022
$$\mathrm{SO}(2)$-Equivariant Reinforcement Learning$ $\mathrm{SO}(2)$ -Equivariant Reinforcement Learning Dian Wang Robin Walters Robert W. Platt 30 78 0 08 Mar 2022
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control Simone Parisi Aravind Rajeswaran Senthil Purushwalkam Abhinav Gupta LM&Ro 34 187 0 07 Mar 2022
Fast and Data Efficient Reinforcement Learning from Pixels via Non-Parametric Value Approximation Alex Long Alan Blair H. V. Hoof 26 3 0 07 Mar 2022
Evolving Curricula with Regret-Based Environment Design Jack Parker-Holder Minqi Jiang Michael Dennis Mikayel Samvelyan Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 31 117 0 02 Mar 2022
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning Zhecheng Yuan Guozheng Ma Yao Mu Bo Xia Bo Yuan Xueqian Wang Ping Luo Huazhe Xu 33 28 0 21 Feb 2022
Mask-based Latent Reconstruction for Reinforcement Learning Tao Yu Zhizheng Zhang Cuiling Lan Yan Lu Zhibo Chen 24 44 0 28 Jan 2022
Look Closer: Bridging Egocentric and Third-Person Views with Transformers for Robotic Manipulation Rishabh Jangir Nicklas Hansen Sambaran Ghosal Mohit Jain Xiaolong Wang 32 65 0 19 Jan 2022
Accelerating Representation Learning with View-Consistent Dynamics in Data-Efficient Reinforcement Learning Tao Huang Jiacheng Wang Xiao Chen 34 4 0 18 Jan 2022
Task-Oriented Image Transmission for Scene Classification in Unmanned Aerial Systems Xu Kang Bin Song Jie Guo Zhijin Qin F. Yu 14 95 0 21 Dec 2021
Symmetry-aware Neural Architecture for Embodied Visual Navigation Shuang Liu Takayuki Okatani 34 1 0 17 Dec 2021
Residual Pathway Priors for Soft Equivariance Constraints Marc Finzi Gregory W. Benton A. Wilson BDL UQCV 24 51 0 02 Dec 2021
Learning State Representations via Retracing in Reinforcement Learning Changmin Yu Dong Li Jianye Hao Jun Wang Neil Burgess 30 7 0 24 Nov 2021
B-Pref: Benchmarking Preference-Based Reinforcement Learning Kimin Lee Laura M. Smith Anca Dragan Pieter Abbeel OffRL 40 93 0 04 Nov 2021
Mastering Atari Games with Limited Data Weirui Ye Shao-Wei Liu Thanard Kurutach Pieter Abbeel Yang Gao VLM 40 223 0 30 Oct 2021
Equivariant $Q$ Learning in Spatial Action Spaces Dian Wang Robin Walters Xu Zhu Robert W. Platt 27 72 0 28 Oct 2021