… , and the performances of the proposed group decision-making … A trajectory smoothing
method at signalized intersection based … Multi-agent deep reinforcement learning for large-scale …

… tool to solve perceptual decision-making issues in complex … offline reinforcement learning
based on representation learning. Firstly, the problem setup of offline reinforcement learning is …

… to collect traffic data and provide decision-making basis for … , and machine learning.
Corresponding author of this paper.) … His research interest covers traffic signal control, multi-agent …

… of the application of reinforcement learning in the field of … autonomous driving planning,
decision-making, and control … Intelligent control system framework for multi-agent based …

… game theory to the decision-making of intelligent driving. We … model for a reinforcement
learning-based autonomous … for a class of uncertain nonlinear multi-agent systems with arbitrary …

… (MADDPG, multi-agent deep deterministic policy gradient)算法 … at signalized intersections:
a reinforcement learning approach[… multipolicy decision making and passive actor-critic learn- …

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multi-agent decision-making at micro … multiple connected vehicles at unsignalized intersections [J]. …

… Combining vehicle dynamics control and decision making … Lane-changing model based on
multi-agent system [J]. … based on a multiple-goal reinforcement learning framework [J]. IEEE …

… on traffic conflict models at signalized intersection[J]. Journal of … Decision-making mechanism
of the drivers following the … Reinforcement learned distributed multi-robot navigation with …