Learning what you can do before doing anything

25 June 2018

Papers citing "Learning what you can do before doing anything"

9 / 9 papers shown

Title
AdaWorld: Learning Adaptable World Models with Latent Actions Shenyuan Gao Siyuan Zhou Yilun Du Jun Zhang Chuang Gan VGen 62 3 0 24 Mar 2025
Grounding Video Models to Actions through Goal Conditioned Exploration Yunhao Luo Yilun Du LM&Ro VGen 85 1 0 11 Nov 2024
DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation Hanqing Wang Wei Liang Luc Van Gool Wenguan Wang LM&Ro 30 28 0 14 Aug 2023
Learning to design without prior data: Discovering generalizable design strategies using deep learning and tree search Ayush Raina Jonathan Cagan Christopher McComb AI4CE 23 9 0 28 Nov 2022
DMotion: Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos Haoqi Yuan Ruihai Wu Andrew Zhao Hanwang Zhang Zihan Ding Hao Dong 19 3 0 07 Mar 2021
Linear Disentangled Representations and Unsupervised Action Estimation Matthew Painter Jonathon S. Hare Adam Prugel-Bennett CoGe DRL 25 20 0 18 Aug 2020
Learning Predictive Models From Observation and Interaction Karl Schmeckpeper Annie Xie Oleh Rybkin Stephen Tian Kostas Daniilidis Sergey Levine Chelsea Finn DRL 27 60 0 30 Dec 2019
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction Osama Makansi Eddy Ilg Özgün Çiçek Thomas Brox 21 191 0 09 Jun 2019
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 230 7,903 0 13 Jun 2015