CURL: Contrastive Unsupervised Representations for Reinforcement Learning

8 April 2020

Pieter Abbeel

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

50 / 221 papers shown

Title
Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation Abdulaziz Almuzairee Rohan Patil Dwait Bhatt Henrik I. Christensen 34 0 0 07 May 2025
Implicit Neural-Representation Learning for Elastic Deformable-Object Manipulations Minseok Song JeongHo Ha Bonggyeong Park Daehyung Park 114 0 0 01 May 2025
JEPA for RL: Investigating Joint-Embedding Predictive Architectures for Reinforcement Learning Tristan Kenneweg Philip Kenneweg Barbara Hammer AI4TS 30 0 0 23 Apr 2025
Towards Better Sample Efficiency in Multi-Agent Reinforcement Learning via Exploration Amir Baghi Jens Sjölund Joakim Bergdahl Linus Gisslén Alessandro Sestini 58 0 0 17 Mar 2025
SE(3)-Equivariant Robot Learning and Control: A Tutorial Survey Joohwan Seo Soochul Yoo Junwoo Chang Hyunseok An Hyunwoo Ryu Soomi Lee Arvind Kruthiventy Jongeun Choi R. Horowitz 71 2 0 12 Mar 2025
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning Samuel Garcin Trevor A. McInroe P. S. Castro Prakash Panangaden Christopher G. Lucas David Abel Stefano V. Albrecht 51 0 0 08 Mar 2025
Gradient-Guided Annealing for Domain Generalization Aristotelis Ballas Christos Diou OOD 142 0 0 27 Feb 2025
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability Carlos E. Luis A. Bottero Julia Vinogradska Felix Berkenkamp Jan Peters 78 1 0 20 Feb 2025
Spatial-aware decision-making with ring attractors in reinforcement learning systems Marcos Negre Saura Richard Allmendinger Theodore Papamarkou Wei Pan 128 0 0 17 Feb 2025
Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning Bryan L. M. de Oliveira Murilo L. da Luz Bruno Brandão Luana G. B. Martins Telma W. de L. Soares L. Melo OffRL 65 1 0 17 Feb 2025
Task Aware Dreamer for Task Generalization in Reinforcement Learning Chengyang Ying Zhongkai Hao Xinning Zhou Hang Su Songming Liu Dong Yan Jun Zhu 62 3 0 17 Feb 2025
Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight Angel Romero Ashwin Shenai Ismail Geles Elie Aljalbout Davide Scaramuzza 72 1 0 24 Jan 2025
Adaptive Data Exploitation in Deep Reinforcement Learning Mingqi Yuan Bo Li Xin Jin Wenjun Zeng OffRL 157 0 0 22 Jan 2025
EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning Siddharth Aravindan Dixant Mittal Wee Sun Lee BDL 79 0 0 17 Jan 2025
Learning to Assist Humans without Inferring Rewards Vivek Myers Evan Ellis Sergey Levine Benjamin Eysenbach Anca Dragan 35 2 0 17 Jan 2025
Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation N. Dennler S. Nikolaidis Maja J. Matarić 127 0 0 03 Jan 2025
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos Xin Liu Yaran Chen Haoran Li SSL 94 0 0 14 Dec 2024
State Chrono Representation for Enhancing Generalization in Reinforcement Learning Jianda Chen Wen Zheng Terence Ng Zichen Chen Sinno Jialin Pan Tianwei Zhang OffRL 35 0 0 09 Nov 2024
Uncovering RL Integration in SSL Loss: Objective-Specific Implications for Data-Efficient RL Ömer Veysel Çağatan Barış Akgün OffRL 34 0 0 22 Oct 2024
Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control Jinzhu Luo Dingyang Chen Qi Zhang OffRL 26 0 0 16 Oct 2024
Masked Generative Priors Improve World Models Sequence Modelling Capabilities Cristian Meo Mircea Lica Zarif Ikram Akihiro Nakano Vedant Shah Aniket Didolkar Dianbo Liu Anirudh Goyal Justin Dauwels OffRL 90 0 0 10 Oct 2024
Next state prediction gives rise to entangled, yet compositional representations of objects Tankred Saanum Luca M. Schulze Buschoff Peter Dayan Eric Schulz OCL CoGe OOD 27 1 0 07 Oct 2024
Open-World Reinforcement Learning over Long Short-Term Imagination Jiajian Li Q. Wang Yunbo Wang Xin Jin Yang Li Wenjun Zeng Xiaokang Yang OCL VLM 54 1 0 04 Oct 2024
Enhancing Sample Efficiency and Exploration in Reinforcement Learning through the Integration of Diffusion Models and Proximal Policy Optimization Gao Tianci Dmitriev D. Dmitry Konstantin A. Neusypin Yang Bo Rao Shengren OffRL 31 1 0 02 Sep 2024
DEAR: Disentangled Environment and Agent Representations for Reinforcement Learning without Reconstruction Ameya Pore Riccardo Muradore Diego DallÁlba DRL 29 1 0 30 Jun 2024
LLaRA: Supercharging Robot Learning Data for Vision-Language Policy Xiang Li Cristina Mata J. Park Kumara Kahatapitiya Yoo Sung Jang ... Kanchana Ranasinghe R. Burgert Mu Cai Yong Jae Lee Michael S. Ryoo LM&Ro 64 25 0 28 Jun 2024
Dreamitate: Real-World Visuomotor Policy Learning via Video Generation Junbang Liang Ruoshi Liu Ege Ozguroglu Sruthi Sudhakar Achal Dave P. Tokmakov Shuran Song Carl Vondrick VGen 40 22 0 24 Jun 2024
Intrinsic Dynamics-Driven Generalizable Scene Representations for Vision-Oriented Decision-Making Applications Dayang Liang Jinyang Lai Yunlong Liu 29 0 0 30 May 2024
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning Jaewoo Lee Sujin Yun Taeyoung Yun Jinkyoo Park 38 6 0 27 May 2024
Cross-Domain Policy Adaptation by Capturing Representation Mismatch Jiafei Lyu Chenjia Bai Jingwen Yang Zongqing Lu Xiu Li 28 8 0 24 May 2024
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning Xin Liu Yaran Chen Dong Zhao 35 1 0 20 May 2024
Feasibility Consistent Representation Learning for Safe Reinforcement Learning Zhepeng Cen Yi-Fan Yao Zuxin Liu Ding Zhao OffRL 32 3 0 20 May 2024
An Efficient Learning Control Framework With Sim-to-Real for String-Type Artificial Muscle-Driven Robotic Systems Jiyue Tao Yunsong Zhang S. Rajendran Feitian Zhang 24 0 0 17 May 2024
Understanding Hyperbolic Metric Learning through Hard Negative Sampling Yun Yue Fangzhou Lin Guanyi Mou Ziming Zhang SSL 30 1 0 23 Apr 2024
Effective Reinforcement Learning Based on Structural Information Principles Xianghua Zeng Hao Peng Dingli Su Angsheng Li 35 0 0 15 Apr 2024
Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning Andrei Semenov Vladimir Ivanov Aleksandr Beznosikov Alexander Gasnikov 29 6 0 04 Apr 2024
Adaptive Motion Planning for Multi-fingered Functional Grasp via Force Feedback Dongying Tian Xiangbo Lin Yi Sun 24 3 0 22 Jan 2024
Closing the Gap between TD Learning and Supervised Learning -- A Generalisation Point of View Raj Ghugare Matthieu Geist Glen Berseth Benjamin Eysenbach OffRL 25 14 0 20 Jan 2024
Bridging State and History Representations: Understanding Self-Predictive RL Tianwei Ni Benjamin Eysenbach Erfan Seyedsalehi Michel Ma Clement Gehring Aditya Mahajan Pierre-Luc Bacon AI4TS AI4CE 17 20 0 17 Jan 2024
Contrastive Learning with Negative Sampling Correction Lu Wang Chao Du Pu Zhao Chuan Luo Zhangchi Zhu ... Wei Zhang Qingwei Lin Saravan Rajmohan Dongmei Zhang Qi Zhang SSL 85 1 0 13 Jan 2024
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning Xin Yu Rongye Shi Pu Feng Yongkai Tian Simin Li Shuhao Liao Wenjun Wu 32 9 0 30 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 28 8 0 15 Dec 2023
Generalizable Imitation Learning Through Pre-Trained Representations Wei-Di Chang F. Hogan D. Meger Gregory Dudek Gregory Dudek 33 1 0 15 Nov 2023
What Makes Pre-Trained Visual Representations Successful for Robust Manipulation? Kaylee Burns Zach Witzel Jubayer Ibn Hamid Tianhe Yu Chelsea Finn Karol Hausman OOD SSL 25 22 0 03 Nov 2023
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes Ruiquan Huang Yuan-Chia Cheng Jing Yang Vincent Tan Yingbin Liang 26 0 0 20 Oct 2023
Distance-rank Aware Sequential Reward Learning for Inverse Reinforcement Learning with Sub-optimal Demonstrations Lu Li Yuxin Pan Ruobing Chen Jie Liu Zilin Wang Yu Liu Zhiheng Li 39 0 0 13 Oct 2023
All by Myself: Learning Individualized Competitive Behaviour with a Contrastive Reinforcement Learning optimization Pablo V. A. Barros A. Sciutti SSL 23 3 0 02 Oct 2023
Task-Oriented Koopman-Based Control with Contrastive Encoder Xubo Lyu Hanyang Hu Seth Siriya Ye Pu Mo Chen 26 5 0 28 Sep 2023
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning Thanh Nguyen T. Pham Chaoning Zhang T. Luu Thang Vu Chang-Dong Yoo 23 9 0 21 Sep 2023
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability Chuning Zhu Max Simchowitz Siri Gadipudi Abhishek Gupta 38 13 0 31 Aug 2023