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ORCIDGeorgios D. Kontes
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2020 – today
- 2025
[j3]Mark Deutel
, Georgios D. Kontes, Christopher Mutschler, Jürgen Teich:
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML. ACM Trans. Evol. Learn. Optim. 5(3): 17:1-17:21 (2025)- [c8]Mark Deutel, Georgios D. Kontes, Christopher Mutschler, Jürgen Teich:
Multi-Objective Bayesian Optimization with Reinforcement Learning for Edge Deployment of DNNs on Microcontrollers. GECCO Companion 2025: 19-20 - [c7]Nico Meyer, Christian Ufrecht, George Yammine, Georgios D. Kontes, Christopher Mutschler, Daniel D. Scherer:
Benchmarking Quantum Reinforcement Learning. ICML 2025 - [i8]Nico Meyer, Christian Ufrecht, George Yammine, Georgios D. Kontes, Christopher Mutschler, Daniel D. Scherer:
Benchmarking Quantum Reinforcement Learning. CoRR abs/2501.15893 (2025) - [i7]Georgios D. Kontes, Diomidis S. Michalopoulos, Birendra Ghimire, Christopher Mutschler:
Position Paper: Rethinking AI/ML for Air Interface in Wireless Networks. CoRR abs/2506.11466 (2025) - [i6]Alexander Mattick, George Yammine, Georgios D. Kontes, Setareh Maghsudi, Christopher Mutschler:
Meta-Learning Multi-armed Bandits for Beam Tracking in 5G and 6G Networks. CoRR abs/2512.05680 (2025) - 2024
- [d1]Mark Deutel, Georgios D. Kontes, Christopher Mutschler, Jürgen Teich:
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML (Code). Zenodo, 2024
- [i5]Mohammad Alawieh, Georgios D. Kontes:
5G Positioning Advancements with AI/ML. CoRR abs/2401.02427 (2024) - 2023
- [c6]George Yammine, Georgios D. Kontes, Norbert Franke, Axel Plinge, Christopher Mutschler:
Efficient Beam Search for Initial Access Using Collaborative Filtering. WCNC 2023: 1-6 - [i4]Mark Deutel, Georgios D. Kontes, Christopher Mutschler, Jürgen Teich:
Augmented Random Search for Multi-Objective Bayesian Optimization of Neural Networks. CoRR abs/2305.14109 (2023) - [i3]Dinesh Parthasarathy, Georgios D. Kontes, Axel Plinge, Christopher Mutschler:
C-MCTS: Safe Planning with Monte Carlo Tree Search. CoRR abs/2305.16209 (2023) - 2022
- [i2]Sebastian Rietsch, Shih-Yuan Huang, Georgios D. Kontes, Axel Plinge, Christopher Mutschler:
Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous Driving. CoRR abs/2207.11432 (2022) - [i1]George Yammine, Georgios D. Kontes, Norbert Franke, Axel Plinge, Christopher Mutschler:
Efficient Beam Search for Initial Access Using Collaborative Filtering. CoRR abs/2209.06669 (2022) - 2021
- [c5]Lukas M. Schmidt, Georgios D. Kontes, Axel Plinge, Christopher Mutschler:
Can You Trust Your Autonomous Car? Interpretable and Verifiably Safe Reinforcement Learning. IV 2021: 171-178 - 2020
- [c4]Georgios D. Kontes, Daniel D. Scherer, Tim Nisslbeck, Janina Fischer, Christopher Mutschler:
High-Speed Collision Avoidance using Deep Reinforcement Learning and Domain Randomization for Autonomous Vehicles. ITSC 2020: 1-8
2010 – 2019
- 2016
- [j2]K. I. Katsigarakis, Georgios D. Kontes, Georgios I. Giannakis, Dimitrios Rovas:
Sense-Think-Act Framework for Intelligent Building Energy Management. Comput. Aided Civ. Infrastructure Eng. 31(1): 50-64 (2016) - 2012
- [c3]Georgios D. Kontes, Georgios I. Giannakis, Elias B. Kosmatopoulos, Dimitrios Rovas:
Adaptive-fine tuning of building energy management systems using co-simulation. CCA 2012: 1664-1669 - 2011
- [c2]Martin Felix Pichler, Angela Dröscher, Hermann Schranzhofer, Georgios D. Kontes, Georgios I. Giannakis, Elias B. Kosmatopoulos, Dimitrios Rovas:
Simulation-assisted building energy performance improvement using sensible control decisions. BuildSys@SenSys 2011: 61-66
2000 – 2009
- 2009
- [j1]Nikos Vlassis, Marc Toussaint, Georgios D. Kontes, Savas Piperidis:
Learning model-free robot control by a Monte Carlo EM algorithm. Auton. Robots 27(2): 123-130 (2009) - 2007
- [c1]Georgios D. Kontes, Michail G. Lagoudakis:
Coordinated Team Play in the Four-Legged RoboCup League. ICTAI (1) 2007: 109-116
Coauthor Index
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