22 citations · 41 across the 6 of their papers we have counts for
6 papers
Designing, Developing, and Validating Network Intelligence for Scaling in Service-Based Architectures based on Deep Reinforcement Learning
Paola Soto, Miguel Camelo, Danny De Vleeschauwer +7
Automating network processes without human intervention is crucial for the complex Sixth Generation (6G) environment. Thus, 6G networks must advance beyond basic automation, relyin…
Inferring the relationship between soil temperature and the normalized difference vegetation index with machine learning
Steven Mortier, Amir Hamedpour, Bart Bussmann +5
Changes in climate can greatly affect the phenology of plants, which can have important feedback effects, such as altering the carbon cycle. These phenological feedback effects are…
An Encoding Framework for Binarized Images using HyperDimensional Computing
Laura Smets, Werner Van Leekwijck, Ing Jyh Tsang +1
Hyperdimensional Computing (HDC) is a brain-inspired and light-weight machine learning method. It has received significant attention in the literature as a candidate to be applied…
Structured Exploration Through Instruction Enhancement for Object Navigation
Matthias Hutsebaut-Buysse, Kevin Mets, Tom De Schepper +1
Finding an object of a specific class in an unseen environment remains an unsolved navigation problem. Hence, we propose a hierarchical learning-based method for object navigation.…
An Analysis of Discretization Methods for Communication Learning with Multi-Agent Reinforcement Learning
Astrid Vanneste, Simon Vanneste, Kevin Mets +4
Communication is crucial in multi-agent reinforcement learning when agents are not able to observe the full state of the environment. The most common approach to allow learned comm…
A Review of the Deep Sea Treasure problem as a Multi-Objective Reinforcement Learning Benchmark
Amber Cassimon, Reinout Eyckerman, Siegfried Mercelis +2
In this paper, the authors investigate the Deep Sea Treasure (DST) problem as proposed by Vamplew et al. Through a number of proofs, the authors show the original DST problem to be…