CURL: Contrastive Unsupervised Representations for Reinforcement Learning

8 April 2020

Pieter Abbeel

Papers citing "CURL: Contrastive Unsupervised Representations for Reinforcement Learning"

50 / 269 papers shown

Title
Vision Transformer for Learning Driving Policies in Complex Multi-Agent Environments E. Kargar Ville Kyrki ViT 26 13 0 14 Sep 2021
Robust Predictable Control Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 29 44 0 07 Sep 2021
APS: Active Pretraining with Successor Features Hao Liu Pieter Abbeel 41 119 0 31 Aug 2021
ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets Vitaliy Kinakh O. Taran S. Voloshynovskiy 36 12 0 31 Aug 2021
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures Changyin Sun Zicheng He Chunwei Song Changyin Sun 38 54 0 31 Aug 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Aaron Courville Marc G. Bellemare OffRL 59 633 0 30 Aug 2021
A Low Rank Promoting Prior for Unsupervised Contrastive Learning Yu Wang Jingyang Lin Qi Cai Yingwei Pan Ting Yao Hongyang Chao Tao Mei SSL 35 16 0 05 Aug 2021
Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning Jinghuan Shang Michael S. Ryoo SSL 24 24 0 02 Aug 2021
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning Denis Yarats Rob Fergus A. Lazaric Lerrel Pinto OffRL 36 337 0 20 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
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers Ruihan Yang Minghao Zhang Nicklas Hansen Huazhe Xu Xiaolong Wang OffRL 18 102 0 08 Jul 2021
RRL: Resnet as representation for Reinforcement Learning Rutav Shah Vikash Kumar OffRL 30 111 0 07 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 25 6 0 07 Jul 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation Nicklas Hansen H. Su Xiaolong Wang OffRL 26 134 0 01 Jul 2021
Exploring the Latent Space of Autoencoders with Interventional Assays Felix Leeb Stefan Bauer M. Besserve Bernhard Schölkopf DRL 49 17 0 30 Jun 2021
Learning Task Informed Abstractions Xiang Fu Ge Yang Pulkit Agrawal Tommi Jaakkola 18 65 0 29 Jun 2021
Investigating the Role of Negatives in Contrastive Representation Learning Jordan T. Ash Surbhi Goel A. Krishnamurthy Dipendra Kumar Misra SSL 29 49 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 15 63 0 17 Jun 2021
Which Mutual-Information Representation Learning Objectives are Sufficient for Control? Kate Rakelly Abhishek Gupta Carlos Florensa Sergey Levine SSL 26 38 0 14 Jun 2021
Temporal Predictive Coding For Model-Based Planning In Latent Space Tung D. Nguyen Rui Shu Tu Pham Hung Bui Stefano Ermon OffRL 17 56 0 14 Jun 2021
Learning Markov State Abstractions for Deep Reinforcement Learning Cameron Allen Neev Parikh Omer Gottesman George Konidaris BDL OffRL 29 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 20 46 0 08 Jun 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data Yonglong Tian Olivier J. Hénaff Aaron van den Oord SSL 64 96 0 17 May 2021
Contrastive Attraction and Contrastive Repulsion for Representation Learning Huangjie Zheng Xu Chen Jiangchao Yao Hongxia Yang Chunyuan Li Ya Zhang Hao Zhang Ivor Tsang Jingren Zhou Mingyuan Zhou SSL 42 12 0 08 May 2021
Auto-Tuned Sim-to-Real Transfer Yuqing Du Olivia Watkins Trevor Darrell Pieter Abbeel Deepak Pathak 24 69 0 15 Apr 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
Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification Benjamin Eysenbach Sergey Levine Ruslan Salakhutdinov OffRL 34 50 0 23 Mar 2021
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model Thanh Nguyen Tung M. Luu Thang Vu Chang D. Yoo 20 17 0 15 Mar 2021
A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive Architectures for Developmental Robots T. Taniguchi Hiroshi Yamakawa Takayuki Nagai Kenji Doya M. Sakagami Masahiro Suzuki Tomoaki Nakamura Akira Taniguchi 28 23 0 15 Mar 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning Samarth Sinha Ajay Mandlekar Animesh Garg OffRL 26 105 0 10 Mar 2021
Behavior From the Void: Unsupervised Active Pre-Training Hao Liu Pieter Abbeel VLM SSL 41 195 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
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction Hongyao Tang Jianye Hao Guangyong Chen Pengfei Chen Chong Chen Yaodong Yang Lu Zhang Wulong Liu Zhaopeng Meng OffRL 35 4 0 03 Mar 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 11 47 0 22 Feb 2021
CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels Yongqian Xiao Xin Xu Yifei Shi 14 9 0 19 Feb 2021
Proof Artifact Co-training for Theorem Proving with Language Models Jesse Michael Han Jason M. Rute Yuhuai Wu Edward W. Ayers Stanislas Polu AIMat 25 120 0 11 Feb 2021
Multi-Task Reinforcement Learning with Context-based Representations Shagun Sodhani Amy Zhang Joelle Pineau 32 182 0 11 Feb 2021
The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels Austin Stone Oscar Ramirez K. Konolige Rico Jonschkowski 137 101 0 07 Jan 2021
How to Train PointGoal Navigation Agents on a (Sample and Compute) Budget Erik Wijmans Irfan Essa Dhruv Batra 3DPC 30 10 0 11 Dec 2020
Towards Learning Controllable Representations of Physical Systems Kevin Haninger R. Vicente-Garcia J. Krüger 31 1 0 16 Nov 2020
Learning Human Search Behavior from Egocentric Visual Inputs Maks Sorokin Wenhao Yu Sehoon Ha Chenxi Liu EgoV 27 3 0 06 Nov 2020
A Survey on Contrastive Self-supervised Learning Ashish Jaiswal Ashwin Ramesh Babu Mohammad Zaki Zadeh Debapriya Banerjee F. Makedon SSL 25 1,359 0 31 Oct 2020
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning Iro Laina Ruth C. Fong Andrea Vedaldi OCL 33 13 0 27 Oct 2020
Contrastive Learning of General-Purpose Audio Representations Aaqib Saeed David Grangier Neil Zeghidour VLM SSL 24 262 0 21 Oct 2020
What About Inputing Policy in Value Function: Policy Representation and Policy-extended Value Function Approximator Hongyao Tang Zhaopeng Meng Jianye Hao Chong Chen D. Graves ... Hangyu Mao Wulong Liu Yaodong Yang Wenyuan Tao Li Wang OffRL 14 7 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
Contrastive Learning with Hard Negative Samples Joshua Robinson Ching-Yao Chuang S. Sra Stefanie Jegelka SSL 72 759 0 09 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 48 814 0 05 Oct 2020
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning Haotian Fu Hongyao Tang Jianye Hao Chong Chen Xidong Feng Dong Li Wulong Liu OffRL 35 51 0 29 Sep 2020
Contrastive Self-supervised Learning for Graph Classification Jiaqi Zeng P. Xie SSL 33 153 0 13 Sep 2020