Belief state planning for autonomously navigating urban intersections. - Maxime Bouton; Akansel Cosgun; Mykel J. Kochenderfer (Intelligent Vehicles Symposium, 2017)

Utility Decomposition for Planning under Uncertainty for Autonomous Driving. - Maxime Bouton (AAMAS, 2018)

Utility Decomposition with Deep Corrections for Scalable Planning under Uncertainty. - Maxime Bouton; Kyle Julian; Alireza Nakhaei; Kikuo Fujimura; Mykel J. Kochenderfer (AAMAS, 2018)

Scalable Decision Making with Sensor Occlusions for Autonomous Driving. - Maxime Bouton; Alireza Nakhaei; Kikuo Fujimura; Mykel J. Kochenderfer (ICRA, 2018)

Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic. - Maxime Bouton; Alireza Nakhaei; Kikuo Fujimura; Mykel J. Kochenderfer (ITSC, 2019)

Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments. - Maxime Bouton; Alireza Nakhaei; Kikuo Fujimura; Mykel J. Kochenderfer (IV, 2019)

Pedestrian Collision Avoidance System for Scenarios with Occlusions. - Markus Schratter; Maxime Bouton; Mykel J. Kochenderfer; Daniel Watzenig (IV, 2019)

Decomposition methods with deep corrections for reinforcement learning. - Maxime Bouton; Kyle D. Julian; Alireza Nakhaei; Kikuo Fujimura; Mykel J. Kochenderfer (Auton. Agents Multi Agent Syst., 2019)

Reinforcement Learning with Probabilistic Guarantees for Autonomous Driving. - Maxime Bouton; Jesper Karlsson; Alireza Nakhaei; Kikuo Fujimura; Mykel J. Kochenderfer; Jana Tumova (CoRR, 2019)

Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes. - Maxime Bouton; Jana Tumova; Mykel J. Kochenderfer (AAAI, 2020)

Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic. - Maxime Bouton; Alireza Nakhaei; David Isele; Kikuo Fujimura; Mykel J. Kochenderfer (ITSC, 2020)

Coordinated Hyper-Parameter Search for Edge Machine Learning in Beyond-5G Networks. - Hasan Farooq; Julien Forgeat; Shruti Bothe; Maxime Bouton; Meral Shirazipour; Per Karlsson (ICC Workshops, 2021)

Coordinated Reinforcement Learning for Optimizing Mobile Networks. - Maxime Bouton; Hasan Farooq; Julien Forgeat; Shruti Bothe; Meral Shirazipour; Per Karlsson (CoRR, 2021)

A Graph Attention Learning Approach to Antenna Tilt Optimization. - Yifei Jin; Filippo Vannella; Maxime Bouton; Jaeseong Jeong; Ezeddin Al Hakim (6GNet, 2022)

Edge-distributed Coordinated Hyper-Parameter Search for Energy Saving SON Use-Case. - Hasan Farooq; Julien Forgeat; Shruti Bothe; Maxime Bouton; Per Karlsson (ICC Workshops, 2022)

Model Based Residual Policy Learning with Applications to Antenna Control. - Viktor Eriksson Möllerstedt; Alessio Russo; Maxime Bouton (CoRR, 2022)

Multi-agent Reinforcement Learning with Graph Q-Networks for Antenna Tuning. - Maxime Bouton; Jaeseong Jeong; José Outes; Adriano Mendo; Alexandros Nikou (NOMS, 2023)

Toward Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework. - Haneya Naeem Qureshi; Usama Masood; Marvin Manalastas; Syed Muhammad Asad Zaidi; Hasan Farooq; Julien Forgeat; Maxime Bouton; Shruti Bothe; Per Karlsson; Ali Rizwan 001; Ali Imran 001 (IEEE Commun. Surv. Tutorials, 2023)

Towards Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework. - Haneya Naeem Qureshi; Usama Masood; Marvin Manalastas; Syed Muhammad Asad Zaidi; Hasan Farooq; Julien Forgeat; Maxime Bouton; Shruti Bothe; Per Karlsson; Ali Rizwan 001; Ali Imran 001 (CoRR, 2023)

Multi-GPU distributed PnP-ULA for high-dimensional imaging inverse problems. - Maxime Bouton; Pierre-Antoine Thouvenin; Audrey Repetti; Pierre Chainais (SSP, 2025)