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Found 3 papers, 1 papers with code
Intelligent Autonomous Intersection Management
Connected Autonomous Vehicles will make autonomous intersection management a reality replacing traditional traffic signal control.
Solving Dynamic Graph Problems with Multi-Attention Deep Reinforcement Learning
We then extend our architecture to learn heuristics for the real-time version of combinatorial optimization problems where all input features of a problem are not known a prior, but rather learned in real-time.
Dynamic Graph Configuration with Reinforcement Learning for Connected Autonomous Vehicle Trajectories
In this paper, we propose an efficient traffic optimization solution, called Coordinated Learning-based Lane Allocation (CLLA), which is suitable for dynamic configuration of lane-directions.
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