Improving Sample Efficiency in Model-Free Reinforcement Learning from Images

2 October 2019

Papers citing "Improving Sample Efficiency in Model-Free Reinforcement Learning from Images"

50 / 255 papers shown

Title
MADE: Exploration via Maximizing Deviation from Explored Regions Tianjun Zhang Paria Rashidinejad Jiantao Jiao Yuandong Tian Joseph E. Gonzalez Stuart J. Russell OffRL 34 42 0 18 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 30 64 0 17 Jun 2021
Learning of feature points without additional supervision improves reinforcement learning from images Rinu Boney Alexander Ilin Arno Solin SSL 20 2 0 15 Jun 2021
Pretrained Encoders are All You Need Mina Khan P. Srivatsa Advait Rane Shriram Chenniappa Rishabh Anand Sherjil Ozair Pattie Maes SSL VLM 31 6 0 09 Jun 2021
Learning Markov State Abstractions for Deep Reinforcement Learning Cameron Allen Neev Parikh Omer Gottesman George Konidaris BDL OffRL 42 36 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 25 46 0 08 Jun 2021
MICo: Improved representations via sampling-based state similarity for Markov decision processes Pablo Samuel Castro Tyler Kastner Prakash Panangaden Mark Rowland 48 35 0 03 Jun 2021
Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation Stephen James Andrew J. Davison 22 121 0 31 May 2021
Utilizing Skipped Frames in Action Repeats via Pseudo-Actions Taisei Hashimoto Yoshimasa Tsuruoka 19 0 0 07 May 2021
Pre-training of Deep RL Agents for Improved Learning under Domain Randomization Artemij Amiranashvili Max Argus Lukás Hermann Wolfram Burgard Thomas Brox 14 3 0 29 Apr 2021
Increasing the Efficiency of Policy Learning for Autonomous Vehicles by Multi-Task Representation Learning E. Kargar Ville Kyrki 17 10 0 26 Mar 2021
CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL Iretiayo Akinola Zizhao Wang Peter K. Allen 37 2 0 24 Mar 2021
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model Thanh Nguyen Tung M. Luu Thang Vu Chang D. Yoo 23 17 0 15 Mar 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning Samarth Sinha Ajay Mandlekar Animesh Garg OffRL 26 107 0 10 Mar 2021
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings Lili Chen Kimin Lee A. Srinivas Pieter Abbeel OffRL 24 11 0 04 Mar 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 75 984 0 03 Mar 2021
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision Johan Bjorck Xiangyu Chen Christopher De Sa Carla P. Gomes Kilian Q. Weinberger 23 6 0 26 Feb 2021
Reinforcement Learning with Prototypical Representations Denis Yarats Rob Fergus A. Lazaric Lerrel Pinto SSL 31 218 0 22 Feb 2021
Return-Based Contrastive Representation Learning for Reinforcement Learning Guoqing Liu Chuheng Zhang Li Zhao Tao Qin Jinhua Zhu Jian Li Nenghai Yu Tie-Yan Liu SSL OffRL 19 47 0 22 Feb 2021
Decoupling Value and Policy for Generalization in Reinforcement Learning Roberta Raileanu Rob Fergus DRL OffRL 22 95 0 20 Feb 2021
State Entropy Maximization with Random Encoders for Efficient Exploration Younggyo Seo Lili Chen Jinwoo Shin Honglak Lee Pieter Abbeel Kimin Lee 32 122 0 18 Feb 2021
Efficient Reinforcement Learning in Resource Allocation Problems Through Permutation Invariant Multi-task Learning D. Cai Shiau Hong Lim L. Wynter 30 3 0 18 Feb 2021
Domain Adversarial Reinforcement Learning Bonnie Li Vincent Franccois-Lavet T. Doan Joelle Pineau OOD 28 22 0 14 Feb 2021
Measuring Progress in Deep Reinforcement Learning Sample Efficiency Florian E. Dorner 25 12 0 09 Feb 2021
The Pitfall of More Powerful Autoencoders in Lidar-Based Navigation Christoph Gebauer Maren Bennewitz SSL 3DV 3DPC 19 0 0 03 Feb 2021
Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos Haoyu Xiong Quanzhou Li Yun-Chun Chen Homanga Bharadhwaj Samarth Sinha Animesh Garg SSL 128 93 0 18 Jan 2021
Reinforcement Learning with Latent Flow Wenling Shang Xiaofei Wang A. Srinivas Aravind Rajeswaran Yang Gao Pieter Abbeel Michael Laskin OffRL 25 23 0 06 Jan 2021
Generalization in Reinforcement Learning by Soft Data Augmentation Nicklas Hansen Xiaolong Wang OffRL 17 168 0 26 Nov 2020
Learning Navigation Skills for Legged Robots with Learned Robot Embeddings Joanne Truong Denis Yarats Tianyu Li Franziska Meier Sonia Chernova Dhruv Batra Akshara Rai 23 20 0 24 Nov 2020
Towards Learning Controllable Representations of Physical Systems Kevin Haninger R. Vicente-Garcia J. Krüger 31 1 0 16 Nov 2020
A Geometric Perspective on Self-Supervised Policy Adaptation Cristian Bodnar Karol Hausman Gabriel Dulac-Arnold Rico Jonschkowski SSL 44 5 0 14 Nov 2020
Deep Reactive Planning in Dynamic Environments Keita Ota Devesh K. Jha T. Onishi Asako Kanezaki Yusuke Yoshiyasu Y. Sasaki T. Mariyama D. Nikovski 33 6 0 31 Oct 2020
MELD: Meta-Reinforcement Learning from Images via Latent State Models Tony Zhao Anusha Nagabandi Kate Rakelly Chelsea Finn Sergey Levine OffRL 32 36 0 26 Oct 2020
D2RL: Deep Dense Architectures in Reinforcement Learning Samarth Sinha Homanga Bharadhwaj A. Srinivas Animesh Garg OffRL AI4CE 56 56 0 19 Oct 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 34 55 0 15 Oct 2020
Measuring Visual Generalization in Continuous Control from Pixels J. E. Grigsby Yanjun Qi 14 25 0 13 Oct 2020
Action and Perception as Divergence Minimization Danijar Hafner Pedro A. Ortega Jimmy Ba Thomas Parr Karl J. Friston N. Heess 27 52 0 03 Sep 2020
On the model-based stochastic value gradient for continuous reinforcement learning Brandon Amos Samuel Stanton Denis Yarats A. Wilson 24 71 0 28 Aug 2020
Forward and inverse reinforcement learning sharing network weights and hyperparameters E. Uchibe Kenji Doya 21 18 0 17 Aug 2020
Learning to Drive (L2D) as a Low-Cost Benchmark for Real-World Reinforcement Learning A. Viitala Rinu Boney Yi Zhao Alexander Ilin Arno Solin OffRL 22 7 0 03 Aug 2020
Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction Masashi Okada T. Taniguchi OffRL 39 84 0 29 Jul 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 23 72 0 24 Jul 2020
Learning Robust State Abstractions for Hidden-Parameter Block MDPs Amy Zhang Shagun Sodhani Khimya Khetarpal Joelle Pineau 31 5 0 14 Jul 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning Kimin Lee Michael Laskin A. Srinivas Pieter Abbeel OffRL 25 199 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 41 159 0 08 Jul 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
Learning Invariant Representations for Reinforcement Learning without Reconstruction Amy Zhang R. McAllister Roberto Calandra Y. Gal Sergey Levine OOD SSL 60 464 0 18 Jun 2020
Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations Alexey Skrynnik A. Staroverov Ermek Aitygulov Kirill Aksenov Vasilii Davydov Aleksandr I. Panov OffRL 23 4 0 17 Jun 2020
Reinforcement Learning with Augmented Data Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel A. Srinivas OffRL 20 648 0 30 Apr 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels Ilya Kostrikov Denis Yarats Rob Fergus OffRL 45 774 0 28 Apr 2020