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
Amortized Network Intervention to Steer the Excitatory Point Processes Zitao Song Wendi Ren Sourav Garg 23 1 0 06 Oct 2023
All by Myself: Learning Individualized Competitive Behaviour with a Contrastive Reinforcement Learning optimization Pablo V. A. Barros A. Sciutti SSL 28 3 0 02 Oct 2023
Task-Oriented Koopman-Based Control with Contrastive Encoder Xubo Lyu Hanyang Hu Seth Siriya Ye Pu Mo Chen 31 5 0 28 Sep 2023
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning Thanh Nguyen T. Pham Chaoning Zhang Tung M. Luu Thang Vu Chang D. Yoo 27 9 0 21 Sep 2023
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability Chuning Zhu Max Simchowitz Siri Gadipudi Abhishek Gupta 43 13 0 31 Aug 2023
Adversarial Style Transfer for Robust Policy Optimization in Deep Reinforcement Learning Md Masudur Rahman Yexiang Xue 29 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 Xu Sichun Xu Tianhe Yu Brianna Zitkovich LM&Ro LRM 30 1,100 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 36 30 0 24 Jul 2023
PASTA: Pretrained Action-State Transformer Agents Raphael Boige Yannis Flet-Berliac Arthur Flajolet Guillaume Richard Thomas Pierrot LM&Ro OffRL 40 5 0 20 Jul 2023
Goal-Conditioned Reinforcement Learning with Disentanglement-based Reachability Planning Zhifeng Qian Mingyu You Hongjun Zhou Xuanhui Xu Bin He 26 3 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
Transformers in Reinforcement Learning: A Survey Pranav Agarwal A. Rahman P. St-Charles Simon J. D. Prince Samira Ebrahimi Kahou OffRL 26 18 0 12 Jul 2023
Policy Contrastive Imitation Learning Jialei Huang Zhao-Heng Yin Yingdong Hu Yang Gao 32 3 0 06 Jul 2023
Simplified Temporal Consistency Reinforcement Learning Yi Zhao Wenshuai Zhao Rinu Boney Arno Solin Joni 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 36 0 0 14 Jun 2023
On the Efficacy of 3D Point Cloud Reinforcement Learning Z. Ling Yuan Yao Xuanlin Li H. Su 3DPC 34 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 34 9 0 29 May 2023
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation David Brandfonbrener Ofir Nachum Joan Bruna AI4CE 26 21 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
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning Mhairi Dunion Trevor A. McInroe K. Luck Josiah P. Hanna Stefano V. Albrecht OOD DRL 22 17 0 23 May 2023
Hierarchical State Abstraction Based on Structural Information Principles Xianghua Zeng Hao Peng Angsheng Li Chunyang Liu Lifang He Philip S. Yu 23 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 27 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 50 29 0 13 Apr 2023
Reinforcement Learning from Passive Data via Latent Intentions Dibya Ghosh Chethan Bhateja Sergey Levine OffRL 26 42 0 10 Apr 2023
Learning Robot Manipulation from Cross-Morphology Demonstration G. Salhotra Isabella Liu Gaurav Sukhatme LM&Ro 25 9 0 07 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 Wang 47 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 34 5 0 31 Mar 2023
PartManip: Learning Cross-Category Generalizable Part Manipulation Policy from Point Cloud Observations Haoran Geng Ziming Li Yiran Geng Jiayi Chen Hao Dong He Wang 3DPC 45 41 0 29 Mar 2023
Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play Irmak Güzey Ben Evans Soumith Chintala Lerrel Pinto 70 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 20 4 0 21 Mar 2023
Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation Ruihai Wu Chuanruo Ning Hao Dong AI4CE 16 28 0 20 Mar 2023
Visual-Policy Learning through Multi-Camera View to Single-Camera View Knowledge Distillation for Robot Manipulation Tasks C. Acar Kuluhan Binici Alp Tekirdag Yan Wu 37 1 0 13 Mar 2023
Efficient Skill Acquisition for Complex Manipulation Tasks in Obstructed Environments Jun Yamada J. Collins Ingmar Posner 36 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 54 17 0 02 Mar 2023
Language-Driven Representation Learning for Robotics Siddharth Karamcheti Suraj Nair Annie S. Chen Thomas Kollar Chelsea Finn Dorsa Sadigh Percy Liang LM&Ro SSL 47 145 0 24 Feb 2023
Self-supervised network distillation: an effective approach to exploration in sparse reward environments Matej Pecháč M. Chovanec Igor Farkaš 32 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 35 23 0 20 Feb 2023
A State Augmentation based approach to Reinforcement Learning from Human Preferences Mudit Verma Subbarao Kambhampati 33 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 66 10 0 11 Feb 2023
Visual Imitation Learning with Patch Rewards Minghuan Liu Tairan He Weinan Zhang Shuicheng Yan Zhongwen Xu SSL 22 13 0 02 Feb 2023
CRC-RL: A Novel Visual Feature Representation Architecture for Unsupervised Reinforcement Learning Darshita Jain A. Majumder S. Dutta Swagat Kumar SSL 31 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 14 10 0 09 Jan 2023
SIRL: Similarity-based Implicit Representation Learning Andreea Bobu Yi Liu Rohin Shah Daniel S. Brown Anca Dragan SSL DRL 35 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 34 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 70 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 32 49 0 12 Dec 2022
A General Purpose Supervisory Signal for Embodied Agents Kunal Pratap Singh Jordi Salvador Luca Weihs Aniruddha Kembhavi SSL 26 3 0 01 Dec 2022
Time-Efficient Reward Learning via Visually Assisted Cluster Ranking David Zhang Micah Carroll Andreea Bobu Anca Dragan 24 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