An incremental sampling-based algorithm for stochastic optimal control
In this paper, we consider a class of continuous-time, continuous-space stochastic optimal control problems. Using the Markov chain approximation method and recent advances in sampling-based algorithms for deterministic path planning, we propose a novel algorithm called the incremental Markov Decisi...
Main Authors: | Huynh, Vu Anh, Karaman, Sertac, Frazzoli, Emilio |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
Format: | Article |
Published: |
SAGE Publications
2018
|
Online Access: | http://hdl.handle.net/1721.1/116272 https://orcid.org/0000-0002-2225-7275 https://orcid.org/0000-0002-0505-1400 |
Similar Items
-
Incremental Sampling-Based Algorithms for a Class of Pursuit-Evasion Games
by: Karaman, Sertac, et al.
Published: (2013) -
Optimal Kinodynamic Motion Planning using Incremental Sampling-based Methods
by: Karaman, Sertac, et al.
Published: (2011) -
Sampling-based algorithms for stochastic optimal control
by: Huynh, Vu Anh
Published: (2014) -
Sampling-based algorithms for optimal motion planning
by: Karaman, Sertac, et al.
Published: (2013) -
Asymptotically-optimal path planning for manipulation using incremental sampling-based algorithms
by: Perez, Alejandro Tomas, et al.
Published: (2012)