Interpretable goal recognition for path planning with ART networks
Goal recognition for path planning is an important task of intention identification and situation awareness, requiring an observer to predict the goal of an evader given observations of its movements. While existing models based on planning or Markov Decision Process (MDP) show superior performance...
Saved in:
Main Authors: | HU, Yue, XU, Kai, SUBAGDJA, Budhitama, TAN, Ah-hwee, YIN, Quanjun |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2021
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/6248 https://doi.org/10.1109/IJCNN52387.2021.9534409 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Value-based subgoal discovery and path planning for reaching long-horizon goals
by: PATERIA, Shubham, et al.
Published: (2023) -
Effective indexing for approximate constrained shortest path queries on large road networks
by: Wang, Sibo, et al.
Published: (2017) -
Vision-based topological mapping and Navigation with self-organizing neural networks
by: HU, Yue, et al.
Published: (2021) -
Navigational Path Privacy Protection: Navigational Path Privacy Protection
by: LEE, Ken C. K., et al.
Published: (2009) -
Privacy-preserving network path validation
by: SENGUPTA, Binanda, et al.
Published: (2020)