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TSC_PPO_Multidiscrete action

Code for paper:
Enhancing Robustness of Deep Reinforcement Learning Based Adaptive Traffic Signal Controllers in Mixed Traffic Environments Through Data Fusion and Multi-Discrete Actions.
This repository accompanies the publication:
https://doi.org/10.1109/TITS.2024.3399066


Citation

If you use this framework in your research, please cite:

Yang, T., & Fan, W. (2024).
Enhancing robustness of deep reinforcement learning based adaptive traffic signal controllers in mixed traffic environments through data fusion and multi-discrete actions.
IEEE Transactions on Intelligent Transportation Systems, 25(10), 14196-14208.
https://doi.org/10.1109/TITS.2024.3399066

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Code for paper "Enhancing Robustness of Deep Reinforcement Learning Based Adaptive Traffic Signal Controllers in Mixed Traffic Environments Through Data Fusion and Multi-Discrete Actions".

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