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Visual Reinforcement Learning with Imagined Goals

12 July 2018

Papers citing "Visual Reinforcement Learning with Imagined Goals"

50 / 235 papers shown

Title
Planning under Uncertainty to Goal Distributions Adam Conkey Tucker Hermans 72 3 0 01 Jul 2025
DynaGuide: Steering Diffusion Polices with Active Dynamic Guidance Maximilian Du Shuran Song 27 0 0 16 Jun 2025
Bridging Perception and Action: Spatially-Grounded Mid-Level Representations for Robot Generalization Jonathan Yang Chuyuan Fu Dhruv Shah Dorsa Sadigh Fei Xia Tingnan Zhang 48 1 0 06 Jun 2025
Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions Jeongsoo Ha Kyungsoo Kim Yusung Kim OffRL VLM 64 6 0 05 Jun 2025
MAGIK: Mapping to Analogous Goals via Imagination-enabled Knowledge Transfer Ajsal Shereef Palattuparambil Thommen George Karimpanal Santu Rana OffRL 56 0 0 02 Jun 2025
Imagine Beyond! Distributionally Robust Auto-Encoding for State Space Coverage in Online Reinforcement Learning Nicolas Castanet Olivier Sigaud Sylvain Lamprier OffRL 110 0 0 23 May 2025
SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models Cansu Sancaktar Christian Gumbsch Andrii Zadaianchuk Pavel Kolev Georg Martius LM&Ro VLM 163 2 0 03 Mar 2025
Front Hair Styling Robot System Using Path Planning for Root-Centric Strand Adjustment Soonhyo Kim Naoaki Kanazawa Shun Hasegawa Kento Kawaharazuka Kei Okada 94 0 0 19 Jan 2025
Latent-Predictive Empowerment: Measuring Empowerment without a Simulator Andrew Levy A. Allievi George Konidaris 105 0 0 15 Oct 2024
Predictive Coding for Decision Transformer Tung M. Luu Donghoon Lee Chang D. Yoo OffRL 129 2 0 04 Oct 2024
How to Solve Contextual Goal-Oriented Problems with Offline Datasets? Ying Fan Jingling Li Adith Swaminathan Aditya Modi Ching-An Cheng OffRL 134 0 0 14 Aug 2024
Random Latent Exploration for Deep Reinforcement Learning Srinath Mahankali Zhang-Wei Hong Ayush Sekhari Alexander Rakhlin Pulkit Agrawal 262 3 0 18 Jul 2024
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings Kevin Frans Seohong Park Pieter Abbeel Sergey Levine OffRL 111 13 0 27 Feb 2024
Constraint-aware Policy for Compliant Manipulation Daichi Saito Kazuhiro Sasabuchi Naoki Wake Atsushi Kanehira Jun Takamatsu Hideki Koike Katsushi Ikeuchi 64 0 0 18 Nov 2023
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills Seongun Kim Kyowoon Lee Jaesik Choi SSL DRL 84 10 0 30 Oct 2023
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents Jake Grigsby Linxi Fan Yuke Zhu OffRL LM&Ro 121 33 0 15 Oct 2023
Pre-Training and Fine-Tuning Generative Flow Networks Ling Pan Moksh Jain Kanika Madan Yoshua Bengio 111 13 0 05 Oct 2023
DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation Hanqing Wang Wei Liang Luc Van Gool Wenguan Wang LM&Ro 85 32 0 14 Aug 2023
Goal-Conditioned Reinforcement Learning with Disentanglement-based Reachability Planning Zhifeng Qian Mingyu You Hongjun Zhou Xuanhui Xu Bin He 62 3 0 20 Jul 2023
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data Chongyi Zheng Benjamin Eysenbach Homer Walke Patrick Yin Kuan Fang Ruslan Salakhutdinov Sergey Levine OffRL SSL 88 6 0 06 Jun 2023
Representation-Driven Reinforcement Learning Ofir Nabati Guy Tennenholtz Shie Mannor 108 1 0 31 May 2023
A Closer Look at Reward Decomposition for High-Level Robotic Explanations Wenhao Lu Xufeng Zhao S. Magg M. Gromniak Mengdi Li S. Wermter 96 7 0 25 Apr 2023
Efficient Quality-Diversity Optimization through Diverse Quality Species Ryan Wickman Bibek Poudel Taylor Michael Villarreal Xiaofei Zhang Weizi Li 102 6 0 14 Apr 2023
Switching Pushing Skill Combined MPC and Deep Reinforcement Learning for Planar Non-prehensile Manipulation Bo Zhang Cong Huang Haixu Zhang Xiaoshan Bai 46 0 0 30 Mar 2023
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping Lina Mezghani Sainbayar Sukhbaatar Piotr Bojanowski A. Lazaric Alahari Karteek OffRL 132 19 0 05 Jan 2023
Understanding the Complexity Gains of Single-Task RL with a Curriculum Qiyang Li Yuexiang Zhai Yi-An Ma Sergey Levine 116 16 0 24 Dec 2022
Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results Sergey Levine Dhruv Shah SSL 93 22 0 13 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 115 77 0 12 Dec 2022
VideoDex: Learning Dexterity from Internet Videos Kenneth Shaw Shikhar Bahl Deepak Pathak 101 96 0 08 Dec 2022
Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings Tongzhou Wang Phillip Isola 92 10 0 28 Nov 2022
Autotelic Reinforcement Learning in Multi-Agent Environments Eleni Nisioti E. Masquil Gautier Hamon Clément Moulin-Frier 61 1 0 11 Nov 2022
Leveraging Sequentiality in Reinforcement Learning from a Single Demonstration Alexandre Chenu Olivier Serris Olivier Sigaud Nicolas Perrin-Gilbert 72 5 0 09 Nov 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 132 16 0 27 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 Zhuowen Tu OffRL 77 17 0 19 Oct 2022
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning Abdus Salam Azad Izzeddin Gur Jasper Emhoff Nathaniel Alexis Aleksandra Faust Pieter Abbeel Ion Stoica SSL 81 13 0 19 Oct 2022
Visual Reinforcement Learning with Self-Supervised 3D Representations Yanjie Ze Nicklas Hansen Yinbo Chen Mohit Jain Xiaolong Wang SSL 81 52 0 13 Oct 2022
Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks Kuan Fang Patrick Yin Ashvin Nair Homer Walke Ge Yan Sergey Levine OffRL 92 25 0 12 Oct 2022
The Role of Exploration for Task Transfer in Reinforcement Learning Jonathan C. Balloch Julia Kim Jessica B. Langebrake Inman Mark O. Riedl OffRL 119 3 0 11 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 87 28 0 10 Oct 2022
GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot Tianli Ding L. Graesser Saminda Abeyruwan David B. DÁmbrosio Anish Shankar P. Sermanet Pannag R Sanketi Corey Lynch 121 22 0 07 Oct 2022
DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics Ivan Kapelyukh Vitalis Vosylius Edward Johns LM&Ro DiffM 236 149 0 05 Oct 2022
Understanding Hindsight Goal Relabeling from a Divergence Minimization Perspective Lunjun Zhang Bradly C. Stadie 52 1 0 26 Sep 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 96 37 0 19 Sep 2022
Benchmarking Multimodal Variational Autoencoders: CdSprites+ Dataset and Toolkit G. Sejnova M. Vavrecka Karla Stepanova VGen 69 2 0 07 Sep 2022
Goal-Conditioned Q-Learning as Knowledge Distillation Alexander Levine Soheil Feizi OffRL 111 3 0 28 Aug 2022
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review N. Botteghi M. Poel C. Brune SSL OffRL 101 13 0 27 Aug 2022
Spectral Decomposition Representation for Reinforcement Learning Zhaolin Ren Tianjun Zhang Lisa Lee Joseph E. Gonzalez Dale Schuurmans Bo Dai OffRL 98 29 0 19 Aug 2022
Sampling Through the Lens of Sequential Decision Making J. Dou Alvin Pan Runxue Bao Haiyi Mao Lei Luo Zhi-Hong Mao 96 19 0 17 Aug 2022
Graph-Structured Policy Learning for Multi-Goal Manipulation Tasks David Klee Ondrej Biza Robert Platt OffRL 75 1 0 22 Jul 2022
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning Yunfei Li Tian Gao Jiaqi Yang Huazhe Xu Yi Wu OffRL 100 22 0 24 Jun 2022