Skip to main navigation
Skip to search
Skip to main content
TU Delft Research Portal Home
Help & FAQ
Home
Research units
Researchers
Research output
Datasets
Projects
Press/Media
Prizes
Activities
Search by expertise, name or affiliation
Online reinforcement learning control for aerospace systems
Ye Zhou
Control & Simulation
Research output
:
Thesis
›
Dissertation (TU Delft)
127
Downloads (Pure)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Online reinforcement learning control for aerospace systems'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Computer Science
Aerospace
100%
Dynamic Programming
40%
Hierarchical Level
20%
Incremental Model
60%
Learning Ability
20%
Navigation Problem
20%
Online Learning
60%
Partial Observability
20%
Programming Method
40%
Reinforcement Learning
100%
Research Community
20%
INIS
approximations
33%
communities
11%
control
100%
control systems
11%
cost
11%
design
11%
developers
11%
dynamic programming
22%
efficiency
11%
environment
22%
hybrids
11%
information
11%
learning
100%
levels
44%
navigation
33%
nonlinear problems
22%
Engineering
Adaptability
20%
Approximators
40%
Automatic Control System
20%
Dynamic Programming Method
40%
Fields
20%
Learning Control
100%
Level Control
20%
Low Level
20%
Model System
20%
Models
60%
Nonlinearity
20%
Observability
20%
Offline Training
20%
Stages
20%
Chemical Engineering
Reinforcement Learning
100%