2 papers
cs.RO2026
Multi-Step Gaussian Process Propagation for Adaptive Path Planning
Alex Beaudin, Bjørn Andreas Kristiansen, Kristoffer Gryte +4
Efficient and robust path planning hinges on combining all accessible information sources. In particular, the task of path planning for robotic environmental exploration and monito…
cs.LG2024
Deep Reinforcement Learning Behavioral Mode Switching Using Optimal Control Based on a Latent Space Objective
Sindre Benjamin Remman, Bjørn Andreas Kristiansen, Anastasios M. Lekkas
In this work, we use optimal control to change the behavior of a deep reinforcement learning policy by optimizing directly in the policy's latent space. We hypothesize that distinc…