E-LIB Suche - Ergebnisse für: Bohn, Eivind

1

Data-Efficient Deep Reinforcement Learning for Attitude Con..:

Bøhn, Eivind ; Coates, Erlend M. ; Reinhardt, Dirk.
IEEE Transactions on Neural Networks and Learning Systems. 35 (2024) 3 - p. 3168-3180 , 2024

Link: https://doi.org/10.1109/..

2

Optimization of the model predictive control meta-parameter..:

Bøhn, Eivind ; Gros, Sebastien ; Moe, Signe.
Engineering Applications of Artificial Intelligence. 123 (2023) - p. 106211 , 2023

Link: https://doi.org/10.1016/..

3

Pseudo-Hamiltonian neural networks with state-dependent ext..:

Eidnes, Sølve ; Stasik, Alexander J. ; Sterud, Camilla..
Physica D: Nonlinear Phenomena. 446 (2023) - p. 133673 , 2023

Link: https://doi.org/10.1016/..

4

On the Effects of Properties of the Minibatch in Reinforcem..:

, In: Communications in Computer and Information Science; Intelligent Technologies and Applications,

Bøhn, Eivind ; Moe, Signe ; Johansen, Tor Arne - p. 71-80 , 2022

Link: https://doi.org/10.1007/..

5

Deep Reinforcement Learning Attitude Control of Fixed-Wing ..:

, In: 2019 International Conference on Unmanned Aircraft Systems (ICUAS),

Bohn, Eivind ; Coates, Erlend M. ; Moe, Signe. - p. 523-533 , 2019

Link: https://doi.org/10.1109/..

6

Pseudo-Hamiltonian Neural Networks with State-Dependent Ext..:

Eidnes, Sølve ; Stasik, Alexander J ; Sterud, Camilla..
http://arxiv.org/abs/2206.02660. , 2022

Link: http://arxiv.org/abs/220..

7

Reinforcement Learning of the Prediction Horizon in Model P..:

Bøhn, Eivind ; Gros, Sebastien ; Moe, Signe.
http://arxiv.org/abs/2102.11122. , 2021

Link: http://arxiv.org/abs/210..

8

Optimization of the Model Predictive Control Meta-Parameter..:

Bøhn, Eivind ; Gros, Sebastien ; Moe, Signe.
http://arxiv.org/abs/2111.04146. , 2021

Link: http://arxiv.org/abs/211..

9

Data-Efficient Deep Reinforcement Learning for Attitude Con..:

Bøhn, Eivind ; Coates, Erlend M ; Reinhardt, Dirk.
http://arxiv.org/abs/2111.04153. , 2021

Link: http://arxiv.org/abs/211..

10

Optimization of the Model Predictive Control Update Interva..:

Bøhn, Eivind ; Gros, Sebastien ; Moe, Signe.
http://arxiv.org/abs/2011.13365. , 2020

Link: http://arxiv.org/abs/201..

11

Accelerating Reinforcement Learning with Suboptimal Guidanc:

Bøhn, Eivind ; Moe, Signe ; Johansen, Tor Arne
http://arxiv.org/abs/1911.09391. , 2019

Link: http://arxiv.org/abs/191..

12

Deep Reinforcement Learning Attitude Control of Fixed-Wing ..:

Bøhn, Eivind ; Coates, Erlend M ; Moe, Signe.
http://arxiv.org/abs/1911.05478. , 2019

Link: http://arxiv.org/abs/191..

13

Pseudo-Hamiltonian neural networks with state-dependent ext..:

Stasik, Alexander Johannes ; Sterud, Camilla ; Bøhn, Eivind Eigil.
Physica D : Non-linear phenomena. 2023, 446, 133673.. , 2023

Link: https://hdl.handle.net/1..

14

Optimization of the model predictive control meta-parameter..:

Bøhn, Eivind Eigil ; Gros, Sebastien Nicolas ; Moe, Signe.
Engineering Applications of Artificial Intelligence. 2023, 123 .. , 2023

Link: https://hdl.handle.net/1..

15

Pseudo-Hamiltonian neural networks with state-dependent ext..:

Stasik, Alexander Johannes ; Sterud, Camilla ; Bøhn, Eivind Eigil.
urn:issn:0167-2789. , 2023

Link: https://hdl.handle.net/1..