219 citations · 221 across the 3 of their papers we have counts for
8 papers
Reinforcement Learning of the Prediction Horizon in Model Predictive Control
Eivind Bøhn, Sebastien Gros, Signe Moe +1
Model predictive control (MPC) is a powerful trajectory optimization control technique capable of controlling complex nonlinear systems while respecting system constraints and ensu…
Optimization of the Model Predictive Control Update Interval Using Reinforcement Learning
Eivind Bøhn, Sebastien Gros, Signe Moe +1
In control applications there is often a compromise that needs to be made with regards to the complexity and performance of the controller and the computational resources that are…
Accelerating Reinforcement Learning with Suboptimal Guidance
Eivind Bøhn, Signe Moe, Tor Arne Johansen
Reinforcement Learning in domains with sparse rewards is a difficult problem, and a large part of the training process is often spent searching the state space in a more or less ra…
Deep Reinforcement Learning Attitude Control of Fixed-Wing UAVs Using Proximal Policy Optimization
Eivind Bøhn, Erlend M. Coates, Signe Moe +1
Contemporary autopilot systems for unmanned aerial vehicles (UAVs) are far more limited in their flight envelope as compared to experienced human pilots, thereby restricting the co…
Cooperative decentralized circumnavigation with application to algal bloom tracking
Joana Fonseca, Jieqiang Wei, Karl H. Johansson +1
Harmful algal blooms occur frequently and deteriorate water quality. A reliable method is proposed in this paper to track algal blooms using a set of autonomous surface robots. A s…
Towards autonomous ocean observing systems using Miniature Underwater Gliders with UAV deployment and recovery capabilities
Erik Sollesnes, Ole Martin Brokstad, Rolf Klæboe +5
This paper presents preliminary results towards the development of an autonomous ocean observing system using Miniature Underwater Gliders (MUGs) that can operate with the support…