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Eivind Bøhn
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Cited by
Year
Deep reinforcement learning attitude control of fixed-wing UAVs using proximal policy optimization
E Bøhn, EM Coates, S Moe, TA Johansen
2019 international conference on unmanned aircraft systems (ICUAS), 523-533, 2019
1812019
Reinforcement learning of the prediction horizon in model predictive control
E Bøhn, S Gros, S Moe, TA Johansen
IFAC-PapersOnLine 54 (6), 314-320, 2021
282021
Optimization of the model predictive control meta-parameters through reinforcement learning
E Bøhn, S Gros, S Moe, TA Johansen
Engineering Applications of Artificial Intelligence 123, 106211, 2023
142023
Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs: Field Experiments
E Bøhn, EM Coates, D Reinhardt, TA Johansen
IEEE Transactions on Neural Networks and Learning Systems, 2023
142023
Pseudo-Hamiltonian neural networks with state-dependent external forces
S Eidnes, AJ Stasik, C Sterud, E Bøhn, S Riemer-Sørensen
Physica D: Nonlinear Phenomena 446, 133673, 2023
11*2023
Optimization of the model predictive control update interval using reinforcement learning
E Bøhn, S Gros, S Moe, TA Johansen
IFAC-PapersOnLine 54 (14), 257-262, 2021
42021
Reinforcement learning for optimization of nonlinear and predictive control
E Bøhn
NTNU, 2022
22022
On the effects of properties of the minibatch in reinforcement learning
E Bøhn, S Moe, TA Johansen
International Conference on Intelligent Technologies and Applications, 71-80, 2021
22021
Accelerating Reinforcement Learning with Suboptimal Guidance
E Bøhn, S Moe, TA Johansen
IFAC-PapersOnLine 53 (2), 8090-8096, 2020
12020
Recency-Weighted Temporally-Segmented Ensemble for Time-Series Modeling
PV Johnsen, E Bøhn, S Eidnes, F Remonato, S Riemer-Sørensen
arXiv preprint arXiv:2403.02150, 2024
2024
Pseudo-Hamiltonian neural networks with state-dependent external forces
AJ Stasik, C Sterud, EE Bøhn, S Riemer-Sørensen
Elsevier, 2023
2023
Semantic Segmentation of Radar Data with Deep Learning
EE Bøhn
NTNU, 2018
2018
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Articles 1–12