Eivind Bøhn

According to our database, Eivind Bøhn authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs: Field Experiments.

Eivind Bøhn, Erlend M. Coates, Dirk Reinhardt, Tor Arne Johansen

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Recency-Weighted Temporally-Segmented Ensemble for Time-Series Modeling.

Pål V. Johnsen, Eivind Bøhn, Sølve Eidnes, Filippo Remonato, Signe Riemer-Sørensen

CoRR, 2024

2023

Optimization of the model predictive control meta-parameters through reinforcement learning.

Eivind Bøhn, Sebastien Gros, Signe Moe, Tor Arne Johansen

Eng. Appl. Artif. Intell., 2023

2022

Port-Hamiltonian Neural Networks with State Dependent Ports.

Sølve Eidnes, Alexander J. Stasik, Camilla Sterud, Eivind Bøhn, Signe Riemer-Sørensen

CoRR, 2022

2021

Reinforcement Learning of the Prediction Horizon in Model Predictive Control.

Eivind Bøhn, Sebastien Gros, Signe Moe, Tor Arne Johansen

CoRR, 2021

On the Effects of Properties of the Minibatch in Reinforcement Learning.

Eivind Bøhn, Signe Moe, Tor Arne Johansen

Proceedings of the Intelligent Technologies and Applications, 2021

2020

Optimization of the Model Predictive Control Update Interval Using Reinforcement Learning.

Eivind Bøhn, Sebastien Gros, Signe Moe, Tor Arne Johansen

CoRR, 2020

2019

Accelerating Reinforcement Learning with Suboptimal Guidance.

Eivind Bøhn, Signe Moe, Tor Arne Johansen

CoRR, 2019

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

Eivind Bøhn, Erlend M. Coates, Signe Moe, Tor Arne Johansen

CoRR, 2019