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ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear
  Dynamical Systems with Adjustable Boundary Conditions

ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions

3 March 2020
Brijen Thananjeyan
Ashwin Balakrishna
Ugo Rosolia
Joseph E. Gonzalez
Aaron D. Ames
Ken Goldberg
ArXivPDFHTML

Papers citing "ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions"

3 / 3 papers shown
Title
i2LQR: Iterative LQR for Iterative Tasks in Dynamic Environments
i2LQR: Iterative LQR for Iterative Tasks in Dynamic Environments
Yifan Zeng
Suiyi He
H. Nguyen
Yihan Li
Zhongyu Li
K. Sreenath
Jun Zeng
8
0
0
28 Feb 2023
SAFER: Data-Efficient and Safe Reinforcement Learning via Skill
  Acquisition
SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition
Dylan Slack
Yinlam Chow
Bo Dai
Nevan Wichers
OffRL
11
7
0
10 Feb 2022
Deep Dynamics Models for Learning Dexterous Manipulation
Deep Dynamics Models for Learning Dexterous Manipulation
Anusha Nagabandi
K. Konolige
Sergey Levine
Vikash Kumar
143
404
0
25 Sep 2019
1