STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
Graph Attention Network-Based Multi-Agent Reinforcement Learning for Traffic Signal Priority Control
Abstract: Reinforcement learning (RL) is widely applied to the problem of adaptive traffic signal control (ATSC). This paper presents an efficient RL algorithm to address ATSC issues. We adopt the ...
Abstract: This letter considers the problem of formation control of multi-robot systems represented by a graph featuring both rigid and elastic edges, capturing specified range tolerance to the ...
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