Maxime Bouton

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 28

Top Topics

Reinforcement Learning

Autonomous Driving

Markov Decision Processes

Partially Observable Markov Decision Process

Top Venues

Publications

Haneya Naeem Qureshi, Usama Masood, Marvin Manalastas, Syed Muhammad Asad Zaidi, Hasan Farooq, Julien Forgeat, Maxime Bouton, Shruti Bothe, Per Karlsson, Ali Rizwan, Ali Imran
Towards Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework. CoRR (2023)
Maxime Bouton, Jaeseong Jeong, José Outes, Adriano Mendo, Alexandros Nikou
Multi-agent Reinforcement Learning with Graph Q-Networks for Antenna Tuning. CoRR (2023)
Haneya Naeem Qureshi, Usama Masood, Marvin Manalastas, Syed Muhammad Asad Zaidi, Hasan Farooq, Julien Forgeat, Maxime Bouton, Shruti Bothe, Per Karlsson, Ali Rizwan, Ali Imran
Toward Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework. IEEE Commun. Surv. Tutorials 25 (3) (2023)
Maxime Bouton, Jaeseong Jeong, José Outes, Adriano Mendo, Alexandros Nikou
Multi-agent Reinforcement Learning with Graph Q-Networks for Antenna Tuning. NOMS (2023)
Yifei Jin, Filippo Vannella, Maxime Bouton, Jaeseong Jeong, Ezeddin Al Hakim
A Graph Attention Learning Approach to Antenna Tilt Optimization. 6GNet (2022)
Hasan Farooq, Julien Forgeat, Shruti Bothe, Maxime Bouton, Per Karlsson
Edge-distributed Coordinated Hyper-Parameter Search for Energy Saving SON Use-Case. ICC Workshops (2022)
Viktor Eriksson Möllerstedt, Alessio Russo, Maxime Bouton
Model Based Residual Policy Learning with Applications to Antenna Control. CoRR (2022)
Maxime Bouton, Hasan Farooq, Julien Forgeat, Shruti Bothe, Meral Shirazipour, Per Karlsson
Coordinated Reinforcement Learning for Optimizing Mobile Networks. CoRR (2021)
Yifei Jin, Filippo Vannella, Maxime Bouton, Jaeseong Jeong, Ezeddin Al Hakim
A Graph Attention Learning Approach to Antenna Tilt Optimization. CoRR (2021)
Hasan Farooq, Julien Forgeat, Shruti Bothe, Maxime Bouton, Meral Shirazipour, Per Karlsson
Coordinated Hyper-Parameter Search for Edge Machine Learning in Beyond-5G Networks. ICC Workshops (2021)
Maxime Bouton, Alireza Nakhaei, David Isele, Kikuo Fujimura, Mykel J. Kochenderfer
Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic. ITSC (2020)
Maxime Bouton, Alireza Nakhaei, David Isele, Kikuo Fujimura, Mykel J. Kochenderfer
Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic. CoRR (2020)
Maxime Bouton, Jana Tumova, Mykel J. Kochenderfer
Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes. CoRR (2020)
Maxime Bouton, Jana Tumova, Mykel J. Kochenderfer
Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes. AAAI (2020)
Maxime Bouton, Kyle D. Julian, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer
Decomposition methods with deep corrections for reinforcement learning. Auton. Agents Multi Agent Syst. 33 (3) (2019)
Markus Schratter, Maxime Bouton, Mykel J. Kochenderfer, Daniel Watzenig
Pedestrian Collision Avoidance System for Scenarios with Occlusions. IV (2019)
Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer
Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments. CoRR (2019)
Markus Schratter, Maxime Bouton, Mykel J. Kochenderfer, Daniel Watzenig
Pedestrian Collision Avoidance System for Scenarios with Occlusions. CoRR (2019)
Maxime Bouton, Jesper Karlsson, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer, Jana Tumova
Reinforcement Learning with Probabilistic Guarantees for Autonomous Driving. CoRR (2019)
Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer
Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic. ITSC (2019)
Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer
Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic. CoRR (2019)
Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer
Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments. IV (2019)
Maxime Bouton, Kyle Julian, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer
Utility Decomposition with Deep Corrections for Scalable Planning under Uncertainty. AAMAS (2018)
Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer
Scalable Decision Making with Sensor Occlusions for Autonomous Driving. ICRA (2018)
Maxime Bouton, Kyle Julian, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer
Utility Decomposition with Deep Corrections for Scalable Planning under Uncertainty. CoRR (2018)
Maxime Bouton
Utility Decomposition for Planning under Uncertainty for Autonomous Driving. AAMAS (2018)
Maxime Bouton, Akansel Cosgun, Mykel J. Kochenderfer
Belief State Planning for Autonomously Navigating Urban Intersections. CoRR (2017)
Maxime Bouton, Akansel Cosgun, Mykel J. Kochenderfer
Belief state planning for autonomously navigating urban intersections. Intelligent Vehicles Symposium (2017)