The Importance of Balanced Data Sets: Analyzing a Vehicle Trajectory Prediction Model based on Neural Networks and Distributed Representations

no code implementations • 30 Sep 2020 • Florian Mirus, Terrence C. Stewart, Jorg Conradt

Thereby, we show that the models employing our semantic vector representation outperform the numerical model when trained on an adequate data set and thereby, that the composition of training data in vehicle trajectory prediction is crucial for successful training.

Trajectory Prediction

Analyzing the Capacity of Distributed Vector Representations to Encode Spatial Information

1 code implementation • 30 Sep 2020 • Florian Mirus, Terrence C. Stewart, Jorg Conradt

Vector Symbolic Architectures belong to a family of related cognitive modeling approaches that encode symbols and structures in high-dimensional vectors.

Social Navigation with Human Empowerment driven Deep Reinforcement Learning

1 code implementation • 18 Mar 2020 • Tessa van der Heiden, Florian Mirus, Herke van Hoof

In contrast to self-empowerment, a robot employing our approach strives for the empowerment of people in its environment, so they are not disturbed by the robot's presence and motion.

reinforcement-learning Reinforcement Learning (RL) +1