SELECTION OF FEATURES FOR ML BASED COMMANDING OF AUTONOMOUS VEHICLES

SELECTION OF FEATURES FOR ML BASED COMMANDING OF AUTONOMOUS VEHICLES

Traffic coordination is an essential challenge in vehicle automation. The challenge is not only about maximizing the revenue/productivity of a fleet of vehicles, but also about avoiding non feasible states such as collisions and low energy levels, which could make the fleet inoperable. The challenge...

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Bibliographic Details
Main Author: Sridhar, Sabarish
Format: Others
Language:English
Published: KTH, Skolan för elektroteknik och datavetenskap (EECS) 2020
Subjects:
Autonomous Driving
Reinforcement Learning
Dyna-2 Architecture
Function Approximation
Feature Selection
Machine Learning.
Autonom körning
Förstärkningsinlärning
Dyna-2 Arkitektur
Funktionsapproximering
Attributval
Maskininlärning.
Computer and Information Sciences
Data- och informationsvetenskap
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-287450

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-287450

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