Partition Learning for Multiagent Planning
Automated surveillance of large geographic areas and target tracking by a team of autonomous agents is a topic that has received significant research and development effort. The standard approach is to decompose this problem into two steps. The first step is target track estimation and the second st...
Saved in:
Main Authors: | Jared Wood, J. Karl Hedrick |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2012-01-01
|
Series: | Journal of Robotics |
Online Access: | http://dx.doi.org/10.1155/2012/590479 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Quadrotor Trajectory Planning with Tetrahedron Partitions and B-Splines in Unknown and Dynamic Environments
by: Jiayu Men, et al.
Published: (2024-12-01) -
Autonomous Bus Fleet Control Using Multiagent Reinforcement Learning
by: Sung-Jung Wang, et al.
Published: (2021-01-01) -
Online Supervised Learning with Distributed Features over Multiagent System
by: Xibin An, et al.
Published: (2020-01-01) -
Lucas partitions
by: Neville Robbins
Published: (1998-01-01) -
Restricted partitions
by: Rafael Jakimczuk
Published: (2004-01-01)