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2020 – today
- 2023
[j2]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): 1954-1990 (2023)- [c13]Maxime Bouton, Jaeseong Jeong, José Outes, Adriano Mendo, Alexandros Nikou:
Multi-agent Reinforcement Learning with Graph Q-Networks for Antenna Tuning. NOMS 2023: 1-7 - [i13]Maxime Bouton, Jaeseong Jeong, José Outes, Adriano Mendo, Alexandros Nikou:
Multi-agent Reinforcement Learning with Graph Q-Networks for Antenna Tuning. CoRR abs/2302.01199 (2023) - [i12]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 abs/2304.12480 (2023) - 2022
- [c12]Yifei Jin, Filippo Vannella, Maxime Bouton, Jaeseong Jeong, Ezeddin Al Hakim:
A Graph Attention Learning Approach to Antenna Tilt Optimization. 6GNet 2022: 1-5 - [c11]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: 421-426 - [i11]Viktor Eriksson Möllerstedt, Alessio Russo, Maxime Bouton:
Model Based Residual Policy Learning with Applications to Antenna Control. CoRR abs/2211.08796 (2022) - 2021
- [c10]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: 1-7 - [i10]Maxime Bouton, Hasan Farooq, Julien Forgeat, Shruti Bothe, Meral Shirazipour, Per Karlsson:
Coordinated Reinforcement Learning for Optimizing Mobile Networks. CoRR abs/2109.15175 (2021) - [i9]Yifei Jin, Filippo Vannella, Maxime Bouton, Jaeseong Jeong, Ezeddin Al Hakim:
A Graph Attention Learning Approach to Antenna Tilt Optimization. CoRR abs/2112.14843 (2021) - 2020
- [c9]Maxime Bouton, Jana Tumova, Mykel J. Kochenderfer:
Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes. AAAI 2020: 10061-10068 - [c8]Maxime Bouton, Alireza Nakhaei, David Isele, Kikuo Fujimura, Mykel J. Kochenderfer:
Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic. ITSC 2020: 1-6 - [i8]Maxime Bouton, Jana Tumova, Mykel J. Kochenderfer:
Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes. CoRR abs/2001.03809 (2020) - [i7]Maxime Bouton, Alireza Nakhaei, David Isele, Kikuo Fujimura, Mykel J. Kochenderfer:
Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic. CoRR abs/2005.11895 (2020)
2010 – 2019
- 2019
- [j1]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): 330-352 (2019) - [c7]Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer:
Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic. ITSC 2019: 3441-3447 - [c6]Markus Schratter, Maxime Bouton, Mykel J. Kochenderfer, Daniel Watzenig:
Pedestrian Collision Avoidance System for Scenarios with Occlusions. IV 2019: 1054-1060 - [c5]Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer:
Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments. IV 2019: 1469-1476 - [i6]Maxime Bouton, Jesper Karlsson, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer, Jana Tumova:
Reinforcement Learning with Probabilistic Guarantees for Autonomous Driving. CoRR abs/1904.07189 (2019) - [i5]Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer:
Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments. CoRR abs/1904.11483 (2019) - [i4]Markus Schratter, Maxime Bouton, Mykel J. Kochenderfer, Daniel Watzenig:
Pedestrian Collision Avoidance System for Scenarios with Occlusions. CoRR abs/1904.11566 (2019) - [i3]Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer:
Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic. CoRR abs/1906.11021 (2019) - 2018
- [c4]Maxime Bouton, Kyle Julian, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer:
Utility Decomposition with Deep Corrections for Scalable Planning under Uncertainty. AAMAS 2018: 462-469 - [c3]Maxime Bouton:
Utility Decomposition for Planning under Uncertainty for Autonomous Driving. AAMAS 2018: 1731-1732 - [c2]Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer:
Scalable Decision Making with Sensor Occlusions for Autonomous Driving. ICRA 2018: 2076-2081 - [i2]Maxime Bouton, Kyle Julian, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer:
Utility Decomposition with Deep Corrections for Scalable Planning under Uncertainty. CoRR abs/1802.01772 (2018) - 2017
- [c1]Maxime Bouton, Akansel Cosgun, Mykel J. Kochenderfer:
Belief state planning for autonomously navigating urban intersections. Intelligent Vehicles Symposium 2017: 825-830 - [i1]Maxime Bouton, Akansel Cosgun, Mykel J. Kochenderfer:
Belief State Planning for Autonomously Navigating Urban Intersections. CoRR abs/1704.04322 (2017)
Coauthor Index
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