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