├── Actor_Critic_Networks.py ├── Benchmark_alg.py ├── Benchmark_test.py ├── DQN_agent_pytorch.py ├── DeepQN_Model.py ├── Environment_CU.py ├── Experience_replay.py ├── README.md ├── Reinforce_Pytorch.py ├── TD3.py ├── ddpg_agent.py ├── figs ├── .DS_Store ├── FL_DQN.eps ├── FL_DQN.png ├── FL_DQN_central.eps ├── FL_DQN_central.png ├── FL_Policy_gradients.eps ├── FL_Policy_gradients.png └── bar_policy_BSs.eps ├── main_Policy_multiagent.py ├── main_ddpg.py ├── main_dqn.py ├── main_dqn_multiagent.py ├── main_reinforce.py ├── matfiles ├── FL_DQN__agg1000.mat ├── FL_DQN_agg1.mat ├── FL_DQN_agg10.mat ├── FL_DQN_agg100.mat ├── FL_poly_agg1.mat ├── FL_poly_agg10.mat ├── FL_poly_agg100.mat ├── FL_poly_agg1000.mat ├── cent_DQN.mat ├── central_poly.mat ├── dist_DQN.mat └── dist_poly.mat ├── models ├── DPG_Central.pth ├── DPG_Fed_AggPer_1.pth ├── DPG_Fed_AggPer_10.pth ├── DPG_Fed_AggPer_100.pth ├── DPG_Fed_AggPer_1000.pth ├── DPG_dist.pth ├── DQN_Fed_AggPer_1.pth ├── DQN_Fed_AggPer_10.pth ├── DQN_Fed_AggPer_100.pth ├── DQN_Fed_AggPer_1000.pth ├── DQN_central.pth └── DQN_dist.pth ├── npfiles ├── .DS_Store ├── DQN_mean_reward.mat ├── DQN_mean_reward.npy ├── FLDQN_mean_reward.mat ├── FLDQN_mean_reward.npy ├── FL_DQN__mean_reward_agg1.npy ├── FL_DQN__mean_reward_agg10.npy ├── FL_DQN__mean_reward_agg100.npy ├── FL_DQN__mean_reward_agg1000.npy ├── FL_Policy__mean_reward_agg1.npy ├── FL_Policy__mean_reward_agg10.npy ├── FL_Policy__mean_reward_agg100.npy ├── FL_Policy__mean_reward_agg1000.npy ├── FL_Policy_nx_2_ny_2_m_4.npy ├── FL_Policy_nx_3_ny_3_m_4.npy ├── FL_Policy_nx_4_ny_4_m_10.npy ├── FL_Policy_nx_4_ny_4_m_2.npy ├── FL_Policy_nx_4_ny_4_m_4.npy ├── FL_Policy_nx_4_ny_4_m_6.npy ├── FL_Policy_nx_4_ny_5_m_4.npy ├── FL_Policy_nx_6_ny_6_m_4.npy ├── TD3_mean_reward_policy_freq_10.mat ├── TD3_mean_reward_policy_freq_10.npy ├── TD3_mean_reward_policy_freq_160.mat ├── TD3_mean_reward_policy_freq_160.npy ├── TD3_mean_reward_policy_freq_20.mat ├── TD3_mean_reward_policy_freq_20.npy ├── TD3_mean_reward_policy_freq_40.mat ├── TD3_mean_reward_policy_freq_40.npy ├── TD3_mean_reward_policy_freq_80.mat ├── TD3_mean_reward_policy_freq_80.npy ├── dist_Policy_nx_2_ny_2_m_4.npy ├── dist_Policy_nx_4_ny_4_m_10.npy ├── dist_Policy_nx_4_ny_4_m_2.npy ├── dist_Policy_nx_4_ny_4_m_4.npy ├── dist_Policy_nx_4_ny_4_m_6.npy ├── dist_Policy_nx_4_ny_5_m_4.npy ├── dist_Policy_nx_5_ny_5_m_4.npy ├── dist_Policy_nx_6_ny_6_m_4.npy ├── distributed_DQN__mean_reward.npy ├── distributed_Policy__mean_reward.npy ├── fully_central_DQN__mean_reward.npy ├── fully_central_Reinforce__mean_reward.npy └── ploicy_mean_reward.txt ├── optmization_DRL_compare_all.py └── plot_fig4.py /Actor_Critic_Networks.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PeymanTehrani/FDRL-PC-Dyspan/HEAD/Actor_Critic_Networks.py -------------------------------------------------------------------------------- /Benchmark_alg.py: 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