godmanbely / MARLspectrumSharingV2X

Companion repository for the paper: L. Liang, H. Ye, and G. Y. Li, "Spectrum sharing in vehicular networks based on multi-agent reinforcement learning," to appear in IEEE Journal on Selected Areas in Communications, vol. 37, no. 10, pp. 2282-2292, Oct. 2019.

This is the companion repository for the following paper. Trained and tested with Python 3.6 + TensorFlow 1.12.0.

L. Liang, H. Ye, and G. Y. Li, "Spectrum sharing in vehicular networks based on multi-agent reinforcement learning," IEEE Journal on Selected Areas in Communications, vol. 37, no. 10, pp. 2282-2292, Oct. 2019. Available at: https://ieeexplore.ieee.org/document/8792382

How to use the code:

• To train the multi-agent RL model: main_marl_train.py + Environment_marl.py + replay_memory.py
• To train the benchmark single-agent RL model: main_sarl_train.py + Environment_marl.py + replay_memory.py
• To test all models in the same environment: main_test.py + Environment_marl_test.py + replay_memory.py + '/model'. Change the V2V payload size using the variable "self.demand_size" in Environment_marl_test.py.

Please send all questions/inquires to [e-mail].