CURL: Contrastive Unsupervised Representations for Reinforcement Learning

8 April 2020

Pieter Abbeel

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

50 / 224 papers shown

Title
Adversarial Style Transfer for Robust Policy Optimization in Deep Reinforcement Learning Md Masudur Rahman Yexiang Xue 23 4 0 29 Aug 2023
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control Anthony Brohan Noah Brown Justice Carbajal Yevgen Chebotar Xi Chen ... Ted Xiao Peng-Tao Xu Sichun Xu Tianhe Yu Brianna Zitkovich LM&Ro LRM 30 1,091 0 28 Jul 2023
RLCD: Reinforcement Learning from Contrastive Distillation for Language Model Alignment Kevin Kaichuang Yang Dan Klein Asli Celikyilmaz Nanyun Peng Yuandong Tian ALM 34 31 0 24 Jul 2023
PASTA: Pretrained Action-State Transformer Agents Raphael Boige Yannis Flet-Berliac Arthur Flajolet Guillaume Richard Thomas Pierrot LM&Ro OffRL 34 5 0 20 Jul 2023
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation Wenhao Ding Laixi Shi Yuejie Chi Ding Zhao OOD 27 18 0 15 Jul 2023
Policy Contrastive Imitation Learning Jialei Huang Zhao-Heng Yin Yingdong Hu Yang Gao 27 3 0 06 Jul 2023
Simplified Temporal Consistency Reinforcement Learning Yi Zhao Wenshuai Zhao Rinu Boney Juho Kannala J. Pajarinen OffRL 30 12 0 15 Jun 2023
VIBR: Learning View-Invariant Value Functions for Robust Visual Control Tom Dupuis Jaonary Rabarisoa Q. C. Pham David Filliat 34 0 0 14 Jun 2023
On the Efficacy of 3D Point Cloud Reinforcement Learning Z. Ling Yuan Yao Xuanlin Li H. Su 3DPC 31 13 0 11 Jun 2023
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse Jiafei Lyu Le Wan Zongqing Lu Xiu Li OffRL 26 9 0 29 May 2023
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation David Brandfonbrener Ofir Nachum Joan Bruna AI4CE 20 20 0 26 May 2023
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning Guozheng Ma Linrui Zhang Haoyu Wang Lu Li Zilin Wang Zhen Wang Li Shen Xueqian Wang Dacheng Tao 42 10 0 25 May 2023
Hierarchical State Abstraction Based on Structural Information Principles Xianghua Zeng Hao Peng Angsheng Li Chunyang Liu Lifang He Philip S. Yu 15 16 0 24 Apr 2023
Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation Cristiano Saltori Aljovsa Ovsep Elisa Ricci Laura Leal-Taixé 22 14 0 23 Apr 2023
Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation Mohit Sharma Claudio Fantacci Yuxiang Zhou Skanda Koppula N. Heess Jonathan Scholz Y. Aytar VLM 42 29 0 13 Apr 2023
Reinforcement Learning from Passive Data via Latent Intentions Dibya Ghosh Chethan Bhateja Sergey Levine OffRL 21 41 0 10 Apr 2023
UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning Weikang Wan Haoran Geng Yun-Hai Liu Zikang Shan Yaodong Yang Li Yi He-Nan Wang 44 94 0 02 Apr 2023
Accelerating exploration and representation learning with offline pre-training Bogdan Mazoure Jake Bruce Doina Precup Rob Fergus Ankit Anand OffRL 29 5 0 31 Mar 2023
Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play Irmak Güzey Ben Evans Soumith Chintala Lerrel Pinto 64 65 0 21 Mar 2023
SACPlanner: Real-World Collision Avoidance with a Soft Actor Critic Local Planner and Polar State Representations Khaled Nakhleh Minahil Raza Mack Tang M. Andrews Rinu Boney I. Hadžić Jeongran Lee Atefeh Mohajeri Karina Palyutina 12 4 0 21 Mar 2023
Efficient Skill Acquisition for Complex Manipulation Tasks in Obstructed Environments Jun Yamada J. Collins Ingmar Posner 31 8 0 06 Mar 2023
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning Archit Sharma Ahmed M. Ahmed Rehaan Ahmad Chelsea Finn SSL 46 17 0 02 Mar 2023
Self-supervised network distillation: an effective approach to exploration in sparse reward environments Matej Pecháč M. Chovanec Igor Farkaš 19 3 0 22 Feb 2023
Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot Tao Huang Kai-xiang Chen Bin Li Yunhui Liu Qingxu Dou 32 23 0 20 Feb 2023
A State Augmentation based approach to Reinforcement Learning from Human Preferences Mudit Verma Subbarao Kambhampati 30 2 0 17 Feb 2023
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning Xin Liu Yaran Chen Haoran Li Boyu Li Dong Zhao SSL 60 10 0 11 Feb 2023
CRC-RL: A Novel Visual Feature Representation Architecture for Unsupervised Reinforcement Learning Darshita Jain A. Majumder S. Dutta Swagat Kumar SSL 21 1 0 31 Jan 2023
Learning Compiler Pass Orders using Coreset and Normalized Value Prediction Youwei Liang Kevin R. Stone A. Shameli Chris Cummins Mostafa Elhoushi ... Benoit Steiner Xiaomeng Yang P. Xie Hugh Leather Yuandong Tian 9 9 0 09 Jan 2023
SIRL: Similarity-based Implicit Representation Learning Andreea Bobu Yi Liu Rohin Shah Daniel S. Brown Anca Dragan SSL DRL 33 17 0 02 Jan 2023
Human-in-the-loop Embodied Intelligence with Interactive Simulation Environment for Surgical Robot Learning Yonghao Long Wang Wei Tao Huang Yuehao Wang Qingxu Dou 29 32 0 01 Jan 2023
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline Nicklas Hansen Zhecheng Yuan Yanjie Ze Tongzhou Mu Aravind Rajeswaran H. Su Huazhe Xu Xiaolong Wang 32 65 0 12 Dec 2022
CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning Zhao Mandi Homanga Bharadhwaj Vincent Moens Shuran Song Aravind Rajeswaran Vikash Kumar LM&Ro 28 68 0 12 Dec 2022
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations Nicklas Hansen Yixin Lin H. Su Xiaolong Wang Vikash Kumar Aravind Rajeswaran OffRL 26 49 0 12 Dec 2022
A General Purpose Supervisory Signal for Embodied Agents Kunal Pratap Singh Jordi Salvador Luca Weihs Aniruddha Kembhavi SSL 21 3 0 01 Dec 2022
Time-Efficient Reward Learning via Visually Assisted Cluster Ranking David Zhang Micah Carroll Andreea Bobu Anca Dragan 22 4 0 30 Nov 2022
CIM: Constrained Intrinsic Motivation for Sparse-Reward Continuous Control Xiang Zheng Xingjun Ma Cong Wang 28 1 0 28 Nov 2022
Mean Shift Mask Transformer for Unseen Object Instance Segmentation Ya Lu Yuqiao Chen Nicholas Ruozzi Yu Xiang 16 23 0 21 Nov 2022
Boosting Object Representation Learning via Motion and Object Continuity Quentin Delfosse Wolfgang Stammer Thomas Rothenbacher Dwarak Vittal Kristian Kersting OCL 37 20 0 16 Nov 2022
Contrastive Value Learning: Implicit Models for Simple Offline RL Bogdan Mazoure Benjamin Eysenbach Ofir Nachum Jonathan Tompson SSL OffRL 33 7 0 03 Nov 2022
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach Kaiwen Yang Yanchao Sun Jiahao Su Fengxiang He Xinmei Tian Furong Huang Tianyi Zhou Dacheng Tao 27 13 0 02 Nov 2022
Disentangled (Un)Controllable Features Jacob E. Kooi Mark Hoogendoorn Vincent François-Lavet DRL 19 0 0 31 Oct 2022
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision Ashvin Nair Brian Zhu Gokul Narayanan Eugen Solowjow Sergey Levine OffRL OnRL 25 14 0 27 Oct 2022
Towards customizable reinforcement learning agents: Enabling preference specification through online vocabulary expansion Utkarsh Soni Nupur Thakur S. Sreedharan L. Guan Mudit Verma Matthew Marquez Subbarao Kambhampati 29 6 0 27 Oct 2022
Solving Continuous Control via Q-learning Tim Seyde Peter Werner Wilko Schwarting Igor Gilitschenski Martin Riedmiller Daniela Rus Markus Wulfmeier OffRL LRM 27 22 0 22 Oct 2022
Learning Robust Dynamics through Variational Sparse Gating A. Jain Shivakanth Sujit S. Joshi Vincent Michalski Danijar Hafner Samira Ebrahimi Kahou 27 8 0 21 Oct 2022
RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control Yanfei Xiang Xin Wang Shu Hu Bin Zhu Xiaomeng Huang Xi Wu Siwei Lyu SSL 29 5 0 20 Oct 2022
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning Yifan Xu Nicklas Hansen Zirui Wang Yung-Chieh Chan H. Su Z. Tu OffRL 23 15 0 19 Oct 2022
Planning for Sample Efficient Imitation Learning Zhao-Heng Yin Weirui Ye Qifeng Chen Yang Gao OffRL 23 21 0 18 Oct 2022
A Policy-Guided Imitation Approach for Offline Reinforcement Learning Haoran Xu Li Jiang Jianxiong Li Xianyuan Zhan OffRL 26 61 0 15 Oct 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning Guozheng Ma Zhen Wang Zhecheng Yuan Xueqian Wang Bo Yuan Dacheng Tao OffRL 32 26 0 10 Oct 2022