Research Article
Coordinated Control of Distributed Traffic Signal Based on Multiagent Cooperative Game
Algorithm 1
Cooperative game multiagent reinforcement learning for intersections signal control.
Initialize with random weight | Initialize feedforward neural network with random weight | Initialize | Local_len (hyperparameter: the training time for each episode) | Initialize for episode = 1 to do | for to Local_len do | Observe current intersection state ; | The agent randomly selects an action with probability and selects an action with probability ; | Execute action and observe all reward and next state ; | Use GRU neural network update ; | . | end | The global performed on is the same as a single set of operations performed on each agent. is updated as (8). | end |
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