Signe Moe

Research Scientist

Signe Moe

Research Scientist

Phone: +47 975 12 125

Email:

Unit: SINTEF Digital

Department: Mathematics and Cybernetics

Office: Oslo

Publications and responsibilities

Authors Eivind Eigil Bøhn Signe Moe Tor Arne Johansen

Year 2021

Type Academic article

Authors Signe Moe Filippo Remonato Esten Ingar Grøtli Jan Tommy Gravdahl

Year 2020

Type Academic article

Authors Åse Victoria Neverlien Signe Moe Jan Tommy Gravdahl

Year 2020

Type Academic article

Authors Signe Moe Kristin Ytterstad Pettersen Jan Tommy Gravdahl

Year 2020

Type Academic article

Authors Eivind Eigil Bøhn Signe Moe Tor Arne Johansen

Year 2020

Type Academic lecture

Authors Eleni Kelasidi Signe Moe Kristin Ytterstad Pettersen Anna M Kohl Pål Liljebäck Jan Tommy Gravdahl

Year 2019

Type Academic article

Authors Eivind Eigil Bøhn Erlend Magnus Lervik Coates Signe Moe Tor Arne Johansen

Year 2019

Type Academic chapter/article/Conference paper

Authors Camilla Sterud Haakon Robinson Adil Rasheed Signe Moe Omer San

Year 2019

Type Academic lecture

Authors Signe Moe Bård Myhre Anne Marthine Rustad Herman Helness Frank Batey

Year 2019

Type Poster

Authors Eivind Eigil Bøhn Erlend Magnus Lervik Coates Signe Moe Tor Arne Johansen

Year 2019

Type Academic lecture

Signe Moe

Research Scientist

Signe Moe

Research Scientist

Publications and responsibilities

Expertise

Machine learning in the loop

Signe Moe

Research Scientist

Signe Moe

Research Scientist

Publications and responsibilities

Accelerating Reinforcement Learning with Suboptimal Guidance

Linear Antisymmetric Recurrent Neural Networks

Compressor Surge Control Using Lyapunov Neural Networks

Set-based collision avoidance applications to robotic systems

Accelerating Reinforcement Learning with Suboptimal Guidance

Path Following, Obstacle Detection and Obstacle Avoidance for Thrusted Underwater Snake Robots

Deep Reinforcement Learning Attitude Control of Fixed Wing UAVs Using Proximal Policy Optimization

Deep Reinforcement Learning for Path Following and Collision Avoidance

NEURAL NETWORK TO ANALYZE WASTEWATER TREATMENT PLANT WITH CEPT

Deep Reinforcement Learning Attitude Control of Fixed Wing UAVs Using Proximal Policy Optimization

Expertise

Machine learning in the loop