no code implementations • 10 Nov 2023 • Mohammad Alawieh, Georgios Kontes
This paper provides a comprehensive review of AI/ML-based direct positioning within 5G systems, focusing on its potential in challenging scenarios and conditions where conventional methods often fall short.
1 code implementation • 25 May 2023 • Dinesh Parthasarathy, Georgios Kontes, Axel Plinge, Christopher Mutschler
We propose Constrained MCTS (C-MCTS), which estimates cost using a safety critic that is trained with Temporal Difference learning in an offline phase prior to agent deployment.
no code implementations • 23 May 2023 • Mark Deutel, Georgios Kontes, Christopher Mutschler, Jürgen Teich
Deploying Deep Neural Networks (DNNs) on tiny devices is a common trend to process the increasing amount of sensor data being generated.
no code implementations • 14 Sep 2022 • George Yammine, Georgios Kontes, Norbert Franke, Axel Plinge, Christopher Mutschler
Our algorithm is based on a recommender system that associates groups (i. e., UEs) and preferences (i. e., beams from a codebook) based on a training data set.
1 code implementation • 23 Jul 2022 • Sebastian Rietsch, Shih-Yuan Huang, Georgios Kontes, Axel Plinge, Christopher Mutschler
Reinforcement learning (RL) has shown to reach super human-level performance across a wide range of tasks.
no code implementations • 25 Sep 2019 • Leonid Butyrev, Georgios Kontes, Christoffer Löffler, Christopher Mutschler
Learning neural networks with gradient descent over a long sequence of tasks is problematic as their fine-tuning to new tasks overwrites the network weights that are important for previous tasks.