Gradient-Based Trajectory Optimization With Learned Dynamics

9 April 2022

Papers citing "Gradient-Based Trajectory Optimization With Learned Dynamics"

8 / 8 papers shown

Title
Analytical Derivatives for Efficient Mechanical Simulations of Hybrid Soft Rigid Robots A. Mathew F. Boyer Vincent Lebastard F. Renda 19 0 0 07 Nov 2024
Learned Neural Physics Simulation for Articulated 3D Human Pose Reconstruction Mykhaylo Andriluka Baruch Tabanpour C. Freeman C. Sminchisescu 3DH 15 1 0 15 Oct 2024
Feedback Favors the Generalization of Neural ODEs Jindou Jia Zihan Yang Meng Wang Kexin Guo Jianfei Yang Xiang Yu Lei Guo OOD AI4CE 35 2 0 14 Oct 2024
MuTT: A Multimodal Trajectory Transformer for Robot Skills Claudius Kienle Benjamin Alt Onur Celik P. Becker Darko Katic Rainer Jäkel Gerhard Neumann 33 2 0 22 Jul 2024
Bridging the Sim-to-Real Gap with Bayesian Inference Jonas Rothfuss Bhavya Sukhija Lenart Treven Florian Dorfler Stelian Coros Andreas Krause AI4CE 31 2 0 25 Mar 2024
Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning Arjun Bhardwaj Jonas Rothfuss Bhavya Sukhija Yarden As Marco Hutter Stelian Coros Andreas Krause 18 5 0 13 Nov 2023
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 143 407 0 25 Sep 2019
Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving Grady Williams P. Drews Brian Goldfain James M. Rehg Evangelos A. Theodorou 76 263 0 07 Jul 2017