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Maxime Bouton
Maxime Bouton
AI Researcher, Ericsson Research
Verified email at ericsson.com
Title
Cited by
Cited by
Year
Cooperation-aware reinforcement learning for merging in dense traffic
M Bouton, A Nakhaei, K Fujimura, MJ Kochenderfer
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3441-3447, 2019
1212019
Belief state planning for autonomously navigating urban intersections
M Bouton, A Cosgun, MJ Kochenderfer
2017 IEEE Intelligent Vehicles Symposium (IV), 825-830, 2017
1112017
Safe reinforcement learning with scene decomposition for navigating complex urban environments
M Bouton, A Nakhaei, K Fujimura, MJ Kochenderfer
2019 IEEE Intelligent Vehicles Symposium (IV), 1469-1476, 2019
972019
Reinforcement learning with probabilistic guarantees for autonomous driving
M Bouton, J Karlsson, A Nakhaei, K Fujimura, MJ Kochenderfer, ...
Workshop on Safety Risk and Uncertainty in Reinforcement Learning …, 2018
902018
Scalable decision making with sensor occlusions for autonomous driving
M Bouton, A Nakhaei, K Fujimura, MJ Kochenderfer
2018 IEEE international conference on robotics and automation (ICRA), 2076-2081, 2018
832018
Pedestrian collision avoidance system for scenarios with occlusions
M Schratter, M Bouton, MJ Kochenderfer, D Watzenig
2019 IEEE Intelligent Vehicles Symposium (IV), 1054-1060, 2019
492019
Reinforcement learning with iterative reasoning for merging in dense traffic
M Bouton, A Nakhaei, D Isele, K Fujimura, MJ Kochenderfer
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
452020
Point-based methods for model checking in partially observable Markov decision processes
M Bouton, J Tumova, MJ Kochenderfer
Proceedings of the AAAI Conference on Artificial Intelligence 34 (06), 10061 …, 2020
362020
Utility decomposition with deep corrections for scalable planning under uncertainty
M Bouton, K Julian, A Nakhaei, K Fujimura, MJ Kochenderfer
Proceedings of the 17th International Conference on Autonomous Agents and …, 2018
202018
Toward Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework
HN Qureshi, U Masood, M Manalastas, SMA Zaidi, H Farooq, J Forgeat, ...
IEEE Communications Surveys & Tutorials 25 (3), 1954-1990, 2023
192023
Coordinated reinforcement learning for optimizing mobile networks
M Bouton, H Farooq, J Forgeat, S Bothe, M Shirazipour, P Karlsson
arXiv preprint arXiv:2109.15175, 2021
192021
A graph attention learning approach to antenna tilt optimization
Y Jin, F Vannella, M Bouton, J Jeong, E Al Hakim
2022 1st International Conference on 6G Networking (6GNet), 1-5, 2022
182022
Decomposition methods with deep corrections for reinforcement learning
M Bouton, KD Julian, A Nakhaei, K Fujimura, MJ Kochenderfer
Autonomous Agents and Multi-Agent Systems 33, 330-352, 2019
132019
Reinforcement learning with iterative reasoning for merging in dense traffic
M Bouton, DF Isele, AN Sarvedani, M Kochenderfer, K Fujimura
US Patent App. 16/940,680, 2021
62021
Multi-agent reinforcement learning with graph q-networks for antenna tuning
M Bouton, J Jeong, J Outes, A Mendo, A Nikou
NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium, 1-7, 2023
52023
Reinforcement learning with scene decomposition for navigating complex environments
M Bouton, AN Sarvedani, K Fujimura, MJ Kochenderfer
US Patent 11,242,050, 2022
52022
Model Based Residual Policy Learning with Applications to Antenna Control
V Eriksson Möllerstedt, A Russo, M Bouton
arXiv e-prints, arXiv: 2211.08796, 2022
3*2022
Safe and scalable planning under uncertainty for autonomous driving
M Bouton
Stanford University, 2020
32020
Automated training of failure diagnosis models for application in self-organizing networks
H Farooq, M Bouton, J Forgeat, M Shirazipour, S Bothe
US Patent App. 18/552,169, 2024
22024
Decentralized coordinated reinforcement learning for optimizing radio access networks
M Bouton, H Farooq, J Forgeat, S Bothe, M Shirazipour
US Patent App. 18/255,362, 2024
22024
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