Visual Reinforcement Learning with Imagined Goals

12 July 2018

Papers citing "Visual Reinforcement Learning with Imagined Goals"

50 / 347 papers shown

Title
Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning Caleb Chuck Fan Feng Carl Qi Chang Shi Siddhant Agarwal Amy Zhang S. Niekum 47 0 0 06 May 2025
Vision-Language Model Predictive Control for Manipulation Planning and Trajectory Generation Jiaming Chen Wentao Zhao Ziyu Meng Donghui Mao Ran Song Wei Pan Wei Zhang 33 0 0 07 Apr 2025
CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models Qingqing Zhao Yao Lu Moo Jin Kim Zipeng Fu Zhuoyang Zhang ... Ankur Handa Ming-Yu Liu Donglai Xiang Gordon Wetzstein Tsung-Yi Lin LM&Ro LRM 43 11 0 27 Mar 2025
Focusing Robot Open-Ended Reinforcement Learning Through Users' Purposes Emilio Cartoni Gianluca Cioccolini Gianluca Baldassarre 44 0 0 16 Mar 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 61 1 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 35 0 0 19 Jan 2025
When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Tongzhou Mu Zhaoyang Li Stanisław Wiktor Strzelecki Xiu Yuan Yunchao Yao Litian Liang H. Su OffRL 80 1 0 18 Dec 2024
Pre-trained Visual Dynamics Representations for Efficient Policy Learning Hao Luo Bohan Zhou Zongqing Lu 30 0 0 05 Nov 2024
Diversity Progress for Goal Selection in Discriminability-Motivated RL Erik M. Lintunen Nadia M. Ady Christian Guckelsberger 29 1 0 03 Nov 2024
Latent-Predictive Empowerment: Measuring Empowerment without a Simulator Andrew Levy A. Allievi George Konidaris 68 0 0 15 Oct 2024
Goal-Conditioned Terminal Value Estimation for Real-time and Multi-task Model Predictive Control Mitsuki Morita Satoshi Yamamori Satoshi Yagi Norikazu Sugimoto Jun Morimoto 16 0 0 07 Oct 2024
Predictive Coding for Decision Transformer T. Luu Donghoon Lee Chang D. Yoo OffRL 58 1 0 04 Oct 2024
Beta-Sigma VAE: Separating beta and decoder variance in Gaussian variational autoencoder Seunghwan Kim Seungkyu Lee DRL 31 0 0 14 Sep 2024
Semantically Controllable Augmentations for Generalizable Robot Learning Zoey Chen Zhao Mandi Homanga Bharadhwaj Mohit Sharma Shuran Song Abhishek Gupta Vikash Kumar LM&Ro 29 5 0 02 Sep 2024
How to Solve Contextual Goal-Oriented Problems with Offline Datasets? Ying Fan Jingling Li Adith Swaminathan Aditya Modi Ching-An Cheng OffRL 70 0 0 14 Aug 2024
Autonomous Improvement of Instruction Following Skills via Foundation Models Zhiyuan Zhou P. Atreya Abraham Lee Homer Walke Oier Mees Sergey Levine 30 10 0 30 Jul 2024
HRP: Human Affordances for Robotic Pre-Training M. K. Srirama Sudeep Dasari Shikhar Bahl Abhinav Gupta 26 13 0 26 Jul 2024
MaxMI: A Maximal Mutual Information Criterion for Manipulation Concept Discovery Pei Zhou Yanchao Yang 35 1 0 21 Jul 2024
Random Latent Exploration for Deep Reinforcement Learning Srinath Mahankali Zhang-Wei Hong Ayush Sekhari Alexander Rakhlin Pulkit Agrawal 33 3 0 18 Jul 2024
VLMPC: Vision-Language Model Predictive Control for Robotic Manipulation Wentao Zhao Jiaming Chen Ziyu Meng Donghui Mao Ran Song Wei Zhang 40 8 0 13 Jul 2024
Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Action Spaces Perusha Moodley Pramod S. Kaushik Dhillu Thambi Mark Trovinger Praveen Paruchuri Xia Hong Benjamin Rosman 48 0 0 01 Jul 2024
Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning G. Vasan Yan Wang Fahim Shahriar James Bergstra Martin Jägersand A. R. Mahmood 27 2 0 29 Jun 2024
External Model Motivated Agents: Reinforcement Learning for Enhanced Environment Sampling Rishav Bhagat Jonathan C. Balloch Zhiyu Lin Julia Kim Mark O. Riedl 41 0 0 28 Jun 2024
Tell Me What's Next: Textual Foresight for Generic UI Representations Andrea Burns Kate Saenko Bryan A. Plummer LM&Ro AI4TS 31 4 0 12 Jun 2024
Hybrid Reinforcement Learning from Offline Observation Alone Yuda Song J. Andrew Bagnell Aarti Singh OffRL 74 2 0 11 Jun 2024
Planning the path with Reinforcement Learning: Optimal Robot Motion Planning in RoboCup Small Size League Environments Mateus G. Machado João G. Melo Cleber Zanchettin Pedro H. M. Braga Pedro V. Cunha Edna N. S. Barros H. Bassani 27 1 0 23 Apr 2024
Entity-Centric Reinforcement Learning for Object Manipulation from Pixels Dan Haramati Tal Daniel Aviv Tamar LM&Ro OffRL OCL 34 10 0 01 Apr 2024
Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers Vidhi Jain Maria Attarian Nikhil J. Joshi Ayzaan Wahid Danny Driess ... Stefan Welker Christine Chan Igor Gilitschenski Yonatan Bisk Debidatta Dwibedi 68 29 0 19 Mar 2024
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings Kevin Frans Seohong Park Pieter Abbeel Sergey Levine OffRL 40 10 0 27 Feb 2024
Single-Reset Divide & Conquer Imitation Learning Alexandre Chenu Olivier Serris Olivier Sigaud Nicolas Perrin-Gilbert 32 0 0 14 Feb 2024
Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence Jiafei Lyu Le Wan Xiu Li Zongqing Lu CML OffRL 33 2 0 05 Feb 2024
Explicit-Implicit Subgoal Planning for Long-Horizon Tasks with Sparse Reward Fangyuan Wang Anqing Duan Peng Zhou Shengzeng Huo Guodong Guo Chenguang Yang D. Navarro-Alarcon OffRL VLM 33 0 0 25 Dec 2023
SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution Zhixuan Liang Yao Mu Hengbo Ma Masayoshi Tomizuka Mingyu Ding Ping Luo 33 37 0 18 Dec 2023
GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos Tomávs Souvcek Dima Damen Michael Wray Ivan Laptev Josef Sivic VGen 17 19 0 12 Dec 2023
Look Before You Leap: Unveiling the Power of GPT-4V in Robotic Vision-Language Planning Yingdong Hu Fanqi Lin Tong Zhang Li Yi Yang Gao LM&Ro 80 101 0 29 Nov 2023
Bias Resilient Multi-Step Off-Policy Goal-Conditioned Reinforcement Learning Lisheng Wu Ke Chen 13 0 0 29 Nov 2023
Constraint-aware Policy for Compliant Manipulation Daichi Saito Kazuhiro Sasabuchi Naoki Wake Atsushi Kanehira Jun Takamatsu Hideki Koike Katsushi Ikeuchi 11 0 0 18 Nov 2023
PcLast: Discovering Plannable Continuous Latent States Anurag Koul Shivakanth Sujit Shaoru Chen Ben Evans Lili Wu ... Yonathan Efroni Lekan Molu Miro Dudik John Langford Alex Lamb OffRL BDL 19 1 0 06 Nov 2023
Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback Max Balsells M. Torné Zihan Wang Samedh Desai Pulkit Agrawal Abhishek Gupta 37 10 0 31 Oct 2023
Contrastive Difference Predictive Coding Chongyi Zheng Ruslan Salakhutdinov Benjamin Eysenbach AI4TS OffRL 24 11 0 31 Oct 2023
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills Seongun Kim Kyowoon Lee Jaesik Choi SSL DRL 39 7 0 30 Oct 2023
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents Jake Grigsby Linxi Fan Yuke Zhu OffRL LM&Ro 33 10 0 15 Oct 2023
ACES: Generating Diverse Programming Puzzles with with Autotelic Generative Models Julien Pourcel Cédric Colas Gaia Molinaro Pierre-Yves Oudeyer Laetitia Teodorescu 33 2 0 15 Oct 2023
An Unbiased Look at Datasets for Visuo-Motor Pre-Training Sudeep Dasari M. K. Srirama Unnat Jain Abhinav Gupta SSL 32 34 0 13 Oct 2023
Pre-Training and Fine-Tuning Generative Flow Networks Ling Pan Moksh Jain Kanika Madan Yoshua Bengio 44 13 0 05 Oct 2023
$$\mathcal{B}$-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis$ $\mathcal{B}$ -Coder: Value-Based Deep Reinforcement Learning for Program Synthesis Zishun Yu Yunzhe Tao Liyu Chen Tao Sun Hongxia Yang 24 7 0 04 Oct 2023
Toward Scalable Visual Servoing Using Deep Reinforcement Learning and Optimal Control Salar Asayesh Hossein Sheikhi Darani Mo chen M. Mehrandezh Kamal Gupta 19 1 0 02 Oct 2023
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning Mingde Zhao Safa Alver H. V. Seijen Romain Laroche Doina Precup Yoshua Bengio 15 3 0 30 Sep 2023
RL-I2IT: Image-to-Image Translation with Deep Reinforcement Learning Xin Wang Ziwei Luo Jing Hu Chengmin Feng Shu Hu Bin Zhu Xi Wu Hongtu Zhu Xin Li Siwei Lyu OffRL VLM 32 1 0 24 Sep 2023
Efficient RL via Disentangled Environment and Agent Representations Kevin Gmelin Shikhar Bahl Russell Mendonca Deepak Pathak DRL 28 8 0 05 Sep 2023