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Found 2 papers, 1 papers with code
Traffic Signal Control Using Lightweight Transformers: An Offline-to-Online RL Approach
In this work, we propose DTLight, a simple yet powerful lightweight Decision Transformer-based TSC method that can learn policy from easily accessible offline datasets.
ModelLight: Model-Based Meta-Reinforcement Learning for Traffic Signal Control
Traffic signal control is of critical importance for the effective use of transportation infrastructures.
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