Skip to main navigation
Skip to search
Skip to main content
TU Delft Research Portal Home
Help & FAQ
Home
Researchers
Research Units
Research output
Activities
Datasets
Press / Media
Prizes
Projects
Search by expertise, name or affiliation
Genetic programming methods for reinforcement learning
R Babuska
Learning & Autonomous Control
Research output
:
Contribution to conference
›
Abstract
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Genetic programming methods for reinforcement learning'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Engineering & Materials Science
Genetic programming
100%
Reinforcement learning
86%
Learning algorithms
35%
Deep neural networks
20%
Genes
20%
Tuning
16%
Decision making
15%
Neural networks
13%