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Career

· Senior Specialist - ML For Safe And Scalable Control, Ericsson2024–
· Artificial Intelligence Senior Researcher, Ericsson2021–2024
· Artificial Intelligence Senior Researcher, Ericsson2020–2021
· Doctor of Philosophy - PhD, Stanford University2017–2020
· Graduate Research Assistant, Stanford University2016–2020
· Graduate Teaching Assistant, Stanford University2016–2016
· Doctor of Philosophy - PhD, Stanford University2015–2017
· Teaching Assistant, Lycée Condorcet2014–2015
· Electrician Internship, SNCF2014–2014
· Project Manager, Junior Centrale Etudes2013–2014

Publications (20)

Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic
International Conference on Intelligent Transportation Systems · 2019
100
cited
Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments
2019 IEEE Intelligent Vehicles Symposium (IV) · 2019
84
cited
Belief state planning for autonomously navigating urban intersections
2017 IEEE Intelligent Vehicles Symposium (IV) · 2017
77
cited
Reinforcement Learning with Probabilistic Guarantees for Autonomous Driving
arXiv.org · 2019
72
cited
Scalable Decision Making with Sensor Occlusions for Autonomous Driving
IEEE International Conference on Robotics and Automation · 2018
58
cited
Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic
2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) · 2020
39
cited
Pedestrian Collision Avoidance System for Scenarios with Occlusions
2019 IEEE Intelligent Vehicles Symposium (IV) · 2019
32
cited
Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes
AAAI Conference on Artificial Intelligence · 2020
32
cited
Toward Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework
2023
30
cited
A Graph Attention Learning Approach to Antenna Tilt Optimization
2021
12
cited
Coordinated Reinforcement Learning for Optimizing Mobile Networks
2021
12
cited
Utility Decomposition with Deep Corrections for Scalable Planning under Uncertainty
Adaptive Agents and Multi-Agent Systems · 2018
11
cited
Decomposition methods with deep corrections for reinforcement learning
Autonomous Agents and Multi-Agent Systems · 2018
8
cited
Model Based Residual Policy Learning with Applications to Antenna Control
2022
4
cited
Multi-agent Reinforcement Learning with Graph Q-Networks for Antenna Tuning
2023
4
cited
End-to-end Driving Controls Predictions from Images
2016
2
cited
Edge-distributed Coordinated Hyper-Parameter Search for Energy Saving SON Use-Case
2022
1
cited
Utility Decomposition for Planning under Uncertainty for Autonomous Driving
2018
1
cited
Coordinated Hyper-Parameter Search for Edge Machine Learning in Beyond-5G Networks
2021
Hierarchical Deep Reinforcement Learning through Scene Decomposition for Autonomous Urban Driving
2019
Sotabase
Maxime Bouton | Researcher Profile | Sotabase | Sotabase