Georgios D. Kontes

19 papers A* 1B 1C 2Journal 11Unranked 4
YearRankTypeTitle / Venue / Authors
2025 A* conf
Benchmarking Quantum Reinforcement Learning.
ICML
Nico Meyer, Christian Ufrecht, George Yammine, Georgios D. Kontes, Christopher Mutschler, Daniel D. Scherer
2025 J jnl
Benchmarking Quantum Reinforcement Learning.
CoRR
Nico Meyer, Christian Ufrecht, George Yammine, Georgios D. Kontes, Christopher Mutschler, Daniel D. Scherer
2025 J jnl
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML.
ACM Trans. Evol. Learn. Optim.
Mark Deutel, Georgios D. Kontes, Christopher Mutschler, Jürgen Teich
2025 J jnl
Meta-Learning Multi-armed Bandits for Beam Tracking in 5G and 6G Networks.
CoRR
Alexander Mattick, George Yammine, Georgios D. Kontes, Setareh Maghsudi, Christopher Mutschler
2025 — conf
Multi-Objective Bayesian Optimization with Reinforcement Learning for Edge Deployment of DNNs on Microcontrollers.
GECCO Companion
Mark Deutel, Georgios D. Kontes, Christopher Mutschler, Jürgen Teich
2025 J jnl
Position Paper: Rethinking AI/ML for Air Interface in Wireless Networks.
CoRR
Georgios D. Kontes, Diomidis S. Michalopoulos, Birendra Ghimire, Christopher Mutschler
2024 J jnl
5G Positioning Advancements with AI/ML.
CoRR
Mohammad Alawieh, Georgios D. Kontes
2023 J jnl
Augmented Random Search for Multi-Objective Bayesian Optimization of Neural Networks.
CoRR
Mark Deutel, Georgios D. Kontes, Christopher Mutschler, Jürgen Teich
2023 J jnl
C-MCTS: Safe Planning with Monte Carlo Tree Search.
CoRR
Dinesh Parthasarathy, Georgios D. Kontes, Axel Plinge, Christopher Mutschler
2023 B conf
Efficient Beam Search for Initial Access Using Collaborative Filtering.
WCNC
George Yammine, Georgios D. Kontes, Norbert Franke, Axel Plinge, Christopher Mutschler
2022 J jnl
Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous Driving.
CoRR
Sebastian Rietsch, Shih-Yuan Huang, Georgios D. Kontes, Axel Plinge, Christopher Mutschler
2022 J jnl
Efficient Beam Search for Initial Access Using Collaborative Filtering.
CoRR
George Yammine, Georgios D. Kontes, Norbert Franke, Axel Plinge, Christopher Mutschler
2021 C conf
Can You Trust Your Autonomous Car? Interpretable and Verifiably Safe Reinforcement Learning.
IV
Lukas M. Schmidt, Georgios D. Kontes, Axel Plinge, Christopher Mutschler
2020 — conf
High-Speed Collision Avoidance using Deep Reinforcement Learning and Domain Randomization for Autonomous Vehicles.
ITSC
Georgios D. Kontes, Daniel D. Scherer, Tim Nisslbeck, Janina Fischer, Christopher Mutschler
2016 J jnl
Sense-Think-Act Framework for Intelligent Building Energy Management.
Comput. Aided Civ. Infrastructure Eng.
K. I. Katsigarakis, Georgios D. Kontes, Georgios I. Giannakis, Dimitrios Rovas
2012 C conf
Adaptive-fine tuning of building energy management systems using co-simulation.
CCA
Georgios D. Kontes, Georgios I. Giannakis, Elias B. Kosmatopoulos, Dimitrios Rovas
2011 — conf
Simulation-assisted building energy performance improvement using sensible control decisions.
BuildSys@SenSys
Martin Felix Pichler, Angela Dröscher, Hermann Schranzhofer, Georgios D. Kontes, Georgios I. Giannakis, Elias B. Kosmatopoulos, Dimitrios Rovas
2009 J jnl
Learning model-free robot control by a Monte Carlo EM algorithm.
Auton. Robots
Nikos Vlassis, Marc Toussaint, Georgios D. Kontes, Savas Piperidis
2007 — conf
Coordinated Team Play in the Four-Legged RoboCup League.
ICTAI (1)
Georgios D. Kontes, Michail G. Lagoudakis