21 citations · 52 across the 9 of their papers we have counts for
4 papers · 1 filter
Learning to Navigate the Web
Izzeddin Gur, Ulrich Rueckert, Aleksandra Faust +1
Learning in environments with large state and action spaces, and sparse rewards, can hinder a Reinforcement Learning (RL) agent's learning through trial-and-error. For instance, fo…
Coordinated Heterogeneous Distributed Perception based on Latent Space Representation
Timo Korthals, Jürgen Leitner, Ulrich Rückert
We investigate a reinforcement approach for distributed sensing based on the latent space derived from multi-modal deep generative models. Our contribution provides insights to the…
Towards Inverse Sensor Mapping in Agriculture
Timo Korthals, Mikkel Kragh, Peter Christiansen +1
In recent years, the drive of the Industry 4.0 initiative has enriched industrial and scientific approaches to build self-driving cars or smart factories. Agricultural applications…
Development of Energy Models for Design Space Exploration of Embedded Many-Core Systems
Christian Klarhorst, Martin Flasskamp, Johannes Ax +4
This paper introduces a methodology to develop energy models for the design space exploration of embedded many-core systems. The design process of such systems can benefit from sop…