Adaptive Path-Integral Autoencoder: Representation Learning and Planning for Dynamical Systems

5 July 2018

Papers citing "Adaptive Path-Integral Autoencoder: Representation Learning and Planning for Dynamical Systems"

7 / 7 papers shown

Title
Learning to Optimize in Model Predictive Control Jacob Sacks Byron Boots 37 22 0 05 Dec 2022
Learning Sampling Distributions for Model Predictive Control Jacob Sacks Byron Boots 18 21 0 05 Dec 2022
Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning Jung-Su Ha Young-Jin Park Hyeok-Joo Chae Soon-Seo Park Han-Lim Choi 35 3 0 16 Nov 2020
Identifying Latent Stochastic Differential Equations Ali Hasan João M. Pereira Sina Farsiu Vahid Tarokh DiffM 27 18 0 12 Jul 2020
Learning Continuous-Time Dynamics by Stochastic Differential Networks Yingru Liu Yucheng Xing Xuewen Yang Xin Wang Jing Shi Di Jin Zhaoyue Chen BDL 26 6 0 11 Jun 2020
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image Danny Driess Jung-Su Ha Marc Toussaint LRM 15 100 0 09 Jun 2020
Scalable Gradients for Stochastic Differential Equations Xuechen Li Ting-Kam Leonard Wong Ricky T. Q. Chen David Duvenaud 17 312 0 05 Jan 2020