1 citations · 1 across the 3 of their papers we have counts for
3 papers
Intrinsic Rewards from Self-Organizing Feature Maps for Exploration in Reinforcement Learning
Marius Lindegaard, Hjalmar Jacob Vinje, Odin Aleksander Severinsen
We introduce an exploration bonus for deep reinforcement learning methods calculated using self-organising feature maps. Our method uses adaptive resonance theory (ART) providing o…
Data-Association-Free Landmark-based SLAM
Yihao Zhang, Odin A. Severinsen, John J. Leonard +2
We study landmark-based SLAM with unknown data association: our robot navigates in a completely unknown environment and has to simultaneously reason over its own trajectory, the po…
SLAM-Supported Self-Training for 6D Object Pose Estimation
Ziqi Lu, Yihao Zhang, Kevin Doherty +3
Recent progress in object pose prediction provides a promising path for robots to build object-level scene representations during navigation. However, as we deploy a robot in novel…