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Found 2 papers, 2 papers with code
Model-based graph reinforcement learning for inductive traffic signal control
Most reinforcement learning methods for adaptive-traffic-signal-control require training from scratch to be applied on any new intersection or after any modification to the road network, traffic distribution, or behavioral constraints experienced during training.
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control
We compare IG-RL to multi-agent reinforcement learning and domain-specific baselines.
Multi-agent Reinforcement Learning
reinforcement-learning
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