LaPlaSS: Latent Space Planning for Stochastic Systems

10 April 2024

Papers citing "LaPlaSS: Latent Space Planning for Stochastic Systems"

10 / 10 papers shown

Title
Non-Gaussian Risk Bounded Trajectory Optimization for Stochastic Nonlinear Systems in Uncertain Environments Weiqiao Han A. Jasour B. Williams 45 31 0 06 Mar 2022
Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters Kebing Jin H. Zhuo Zhanhao Xiao Hai Wan Subbarao Kambhampati 58 9 0 19 Oct 2021
Optimal Mixed Discrete-Continuous Planning for Linear Hybrid Systems Jingkai Chen B. Williams Chuchu Fan 54 8 0 16 Feb 2021
Integrated Task and Motion Planning Caelan Reed Garrett Rohan Chitnis Rachel Holladay Beomjoon Kim Tom Silver L. Kaelbling Tomás Lozano-Pérez 95 501 0 02 Oct 2020
Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures Allen Wang Xin Huang A. Jasour B. Williams 55 32 0 27 May 2020
Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control Jeremy Morton F. Witherden Mykel J Kochenderfer 54 47 0 26 Feb 2019
Learning Latent Dynamics for Planning from Pixels Danijar Hafner Timothy Lillicrap Ian S. Fischer Ruben Villegas David R Ha Honglak Lee James Davidson BDL 88 1,437 0 12 Nov 2018
Deep learning for universal linear embeddings of nonlinear dynamics Bethany Lusch J. Nathan Kutz Steven L. Brunton 76 1,252 0 27 Dec 2017
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models Jesse Engel Matthew Hoffman Adam Roberts DRL 82 140 0 15 Nov 2017
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images Manuel Watter Jost Tobias Springenberg Joschka Boedecker Martin Riedmiller BDL 68 846 0 24 Jun 2015