GitHub - yzhang417/DeepRL-mmWave-MANET: In this work, reinforce learning techniques like Deep Reinforcement Learning (PPO) and Multi-armed bandit are exploited to design mmWave MANET user scheduling and transmission configuration.

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In this work, reinforce learning techniques like Deep Reinforcement Learning (PPO) and Multi-armed bandit are exploited to design mmWave MANET user scheduling and transmission configuration.

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Name		Name	Last commit message	Last commit date
Latest commit History 64 Commits
Makefile		Makefile
bandit_function.py		bandit_function.py
decision_making.py		decision_making.py
envs.py		envs.py
evaluation_ckpt.py		evaluation_ckpt.py
get_MAB_scheme_setting.py		get_MAB_scheme_setting.py
heuristic_tracking_selection.py		heuristic_tracking_selection.py
mainDRL.py		mainDRL.py
mainMAB.py		mainMAB.py
model.py		model.py
my_utils.py		my_utils.py
plot_results.py		plot_results.py
plot_results_ave.py		plot_results_ave.py
plot_results_batch_study.py		plot_results_batch_study.py
plot_results_numUE_netChange_study.py		plot_results_numUE_netChange_study.py
state_action.py		state_action.py
study_statistic.py		study_statistic.py
training.py		training.py

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In this work, reinforce learning techniques like Deep Reinforcement Learning (PPO) and Multi-armed bandit are exploited to design mmWave MANET user scheduling and transmission configuration.

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