Maxime Bouton

Orcid: 0000-0002-9151-1513

According to our database1, Maxime Bouton authored at least 19 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Towards Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework.
CoRR, 2023

Toward Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework.
IEEE Commun. Surv. Tutorials, 2023

Multi-agent Reinforcement Learning with Graph Q-Networks for Antenna Tuning.
Proceedings of the NOMS 2023, 2023

2022
Model Based Residual Policy Learning with Applications to Antenna Control.
CoRR, 2022

Edge-distributed Coordinated Hyper-Parameter Search for Energy Saving SON Use-Case.
Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

A Graph Attention Learning Approach to Antenna Tilt Optimization.
Proceedings of the 1st International Conference on 6G Networking, 2022

2021
Coordinated Reinforcement Learning for Optimizing Mobile Networks.
CoRR, 2021

Coordinated Hyper-Parameter Search for Edge Machine Learning in Beyond-5G Networks.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

2020
Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Reinforcement Learning with Probabilistic Guarantees for Autonomous Driving.
CoRR, 2019

Decomposition methods with deep corrections for reinforcement learning.
Auton. Agents Multi Agent Syst., 2019

Pedestrian Collision Avoidance System for Scenarios with Occlusions.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
Scalable Decision Making with Sensor Occlusions for Autonomous Driving.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Utility Decomposition with Deep Corrections for Scalable Planning under Uncertainty.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Utility Decomposition for Planning under Uncertainty for Autonomous Driving.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017
Belief state planning for autonomously navigating urban intersections.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017


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