In this paper, we design a multi-agent coordination framework based on Deep Reinforcement Learning method for traffic signal control.
Feb 27, 2020 · In this paper, we design a multiagent coordination framework based on Deep Reinforcement Learning methods for traffic signal control, defined as ...
Learning scalable multi-agent coordination by spatial ...
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In this paper, we design a multi-agent coordination framework based on Deep Reinforcement Learning method for traffic signal control.
In this paper, we design a multi-agent coordination framework based on Deep Reinforcement Learning method for traffic signal control, defined as γ-Reward that ...
This paper introduces a library for cross-simulator comparison of reinforcement learning models in traffic signal control tasks. 2. Paper
The intelligent control of traffic signal is critical to the optimization of transportation systems. To solve the problem in large-scale road networks, ...
Learning Scalable Multi-Agent Coordination by Spatial Differentiation for Traffic Signal Control · 1 code implementation • 27 Feb 2020 • Junjia Liu, Huimin ...
Apr 17, 2024 · To elevate the efficiency of traffic signal control, we have crafted a multi-agent soft actor-critic (MA-SAC) reinforcement learning algorithm.
Missing: differentiation | Show results with:differentiation
Transportation Research Part B: Methodological, 2022. Learning scalable multi-agent coordination by spatial differentiation for traffic signal control.
Liu, Learning scalable multi-agent coordination by spatial differentiation for traffic signal control, Eng. Appl. Artif. Intell., № 100 https://doi.org ...