Dense Reward Shaping with Temporal Behavior Trees Guiding Reinforcement Learning

Schmeil, Till (2025) Dense Reward Shaping with Temporal Behavior Trees Guiding Reinforcement Learning. DLR-Interner Bericht. DLR-IB-FT-BS-2025-21. Master's. TU Würzburg.

PDF - Only accessible within DLR
22MB

Item URL in elib:

https://elib.dlr.de/215440/

Document Type:

Monograph (DLR-Interner Bericht, Master's)

Title:

Dense Reward Shaping with Temporal Behavior Trees Guiding Reinforcement Learning

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Schmeil, Till	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED

DLR Supervisors:

Contribution	DLR Supervisor	Institution or E-Mail	DLR Supervisor's ORCID iD
Thesis advisor	Waxenegger-Wilfing, Günther	UNSPECIFIED	https://orcid.org/0000-0001-5381-6431
Thesis advisor	Schirmer, Sebastian	UNSPECIFIED	https://orcid.org/0000-0002-4596-2479

Date:

2025

Open Access:

Status:

Published

Keywords:

Reinforcement learning, temporal behavior trees

Institution:

TU Würzburg

Department:

Institute of Computer Science

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Aeronautics

HGF - Program Themes:

Components and Systems

DLR - Research area:

Aeronautics

DLR - Program:

L CS - Components and Systems

DLR - Research theme (Project):

L - Unmanned Aerial Systems

Location:

Braunschweig , Lampoldshausen

Institutes and Institutions:

Institute of Flight Systems > Unmanned Aircraft
Institute of Space Propulsion > Rocket Engine Systems

Deposited By:

Schirmer, Sebastian

Deposited On:

01 Feb 2026 17:03

Last Modified:

01 Feb 2026 17:04

Repository Staff Only: item control page