31 citations · 35 across the 11 of their papers we have counts for
4 papers · 1 filter
Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic
Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura +1
Decision making in dense traffic can be challenging for autonomous vehicles. An autonomous system only relying on predefined road priorities and considering other drivers as moving…
Reinforcement Learning with Probabilistic Guarantees for Autonomous Driving
Maxime Bouton, Jesper Karlsson, Alireza Nakhaei +3
Designing reliable decision strategies for autonomous urban driving is challenging. Reinforcement learning (RL) has been used to automatically derive suitable behavior in uncertain…
Pedestrian Collision Avoidance System for Scenarios with Occlusions
Markus Schratter, Maxime Bouton, Mykel J. Kochenderfer +1
Safe autonomous driving in urban areas requires robust algorithms to avoid collisions with other traffic participants with limited perception ability. Current deployed approaches r…
Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments
Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura +1
Navigating urban environments represents a complex task for automated vehicles. They must reach their goal safely and efficiently while considering a multitude of traffic participa…