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clear set(0,'DefaultTextInterpreter','none') ddpg_s = []; ddpg_proj_s = []; fw_s = []; rw_shaping_s =[]; sac_proj_s = [] count = 50 % 200 for arg_seed = 0:2 % 5G_0_DDPGProjection_before_Action_State_relate_cons % tmp=readNPY(['5G_' num2str(arg_seed) '_DDPGProjection_eval_reward_State_relate_cons.npy']); % ddpg_s( :, end+1 ) = tmp; tmp=readNPY(['eval100_result/ddpg_proj/5G_' num2str(arg_seed) '_DDPGProjection_eval_reward_State_relate_cons.npy']); ddpg_proj_s( :, end+1 ) = tmp(1:(200/count):200); tmp=readNPY(['eval100_result/nfwpo/5G_' num2str(arg_seed) '_NFWPO_eval_reward_State_relate_cons.npy']); fw_s( :, end+1 ) = tmp(1:(200/count):200); tmp=readNPY(['eval100_result/reward_shaping/5G_' num2str(arg_seed) '_DDPGProjection_reward_shap_eval_reward_State_relate_cons.npy']); rw_shaping_s( :, end+1 ) = tmp(1:(200/count):200); % ddpg_mean = mean(ddpg_s,2); ddpg_proj_mean = mean(ddpg_proj_s,2); fw_mean = mean(fw_s,2); rw_mean = mean(rw_shaping_s,2); % ddpg_std = std(ddpg_s,1,2); ddpg_proj_std = std(ddpg_proj_s,1,2); fw_std = std(fw_s,1,2); rw_std = std(rw_shaping_s,1,2); end x = 1:(1000000/count):1000000 % x = 1:1:count curve1 = fw_mean + fw_std; curve2 = fw_mean - fw_std; x2 = [x, fliplr(x)]; inBetween = [curve1.' ,fliplr(curve2.')]; g=fill(x2, inBetween, [0.0157,0.4275,0.7020],'EdgeColor',[0.0157,0.4275,0.7020],'EdgeAlpha',.2,'FaceAlpha',.1); %color [x,x,x] can chose by c = uisetcolor([1 1 0],'Select a color') hold on % curve1 = ddpg_mean + ddpg_std; % curve2 = ddpg_mean - ddpg_std; % x2 = [x, fliplr(x)]; % inBetween = [curve1.' ,fliplr(curve2.')]; % g=fill(x2, inBetween, [0.5137 0.0863 0.7804],'FaceAlpha',.1,'EdgeColor',[0.5137 0.0863 0.7804],'EdgeAlpha',.2); % %g=patch(x2,inBetween,[0.9294 0.8196 1.0000],'LineStyle','none','FaceAlpha',1); % hold on curve1 = rw_mean + rw_std; curve2 = rw_mean - rw_std; x2 = [x, fliplr(x)]; inBetween = [curve1.' ,fliplr(curve2.')]; g=fill(x2, inBetween, [ 0.3922 0.8314 0.0745],'EdgeColor',[ 0.3922 0.8314 0.0745],'EdgeAlpha',.2,'FaceAlpha',.1); %g1=patch(x2,inBetween,[0.8588 1.0000 0.7608],'LineStyle','none','FaceAlpha',.5); hold on curve1 = ddpg_proj_mean + ddpg_proj_std; curve2 = ddpg_proj_mean - ddpg_proj_std; x2 = [x, fliplr(x)]; inBetween = [curve1.' ,fliplr(curve2.')]; g=fill(x2, inBetween,[0.9804 0.3961 0.1451],'EdgeColor',[0.9804 0.3961 0.1451],'EdgeAlpha',.2,'FaceAlpha',.1); %color [x,x,x] can chose by c = uisetcolor([1 1 0],'Select a color') hold on h1=plot(x, fw_mean(1:count), '-o', 'DisplayName','NFWPO','Color',[0.0157,0.4275,0.7020],'LineWidth',2) hold on % h2=plot(x, ddpg_mean(1:count),'DisplayName','DDPG+OptLayer','Color',[0.5137 0.0863 0.7804],'LineWidth',2) % hold on h3=plot(x, rw_mean(1:count), '-*', 'DisplayName','DDPG+Reward Shaping','Color',[ 0.3922 0.8314 0.0745],'LineWidth',2) hold on h4=plot(x, ddpg_proj_mean(1:count), '-s', 'DisplayName','DDPG+Projection ','Color',[ 0.9804 0.3961 0.1451],'LineWidth',2) hold off % set position , gcf means current figure set(gcf,'color',[1 1 1]); set(gcf,'position',[0,0,1000,800]) % gca means current axis set(gca,'FontSize',24) set(gca,'linewidth',2) %modify the y axis ylim(gca,[-100 600]); % Create ylabel ylabel('Average Return'); % Create xlabel xlabel('Time Steps'); % Create legend %legend legend([h1 h3 h4]) saveas(gcf,'Avg_Return_1.png') %{ h=gcf; set(h,'PaperOrientation','landscape'); set(h,'PaperPosition', [1 1 28 19]); print(gcf, '-dpdf', 'test2.pdf'); %} %set(legend,... %'Position',[0.231935291724779 0.731352493686703 0.179393305439331 0.157924100495552],... %'LineWidth',1); % ddpg_s.append(tmp[0:ran]) % tmp=np.load("Network_{}_DDPGwithOpt_NSFnet_multi_new_Reward.npy".format(arg_seed)) % ddpg_opt_s.append(tmp[0:ran]) % tmp=np.load("Network_{}_DDPGFW_NSFnet_multi_new_Reward.npy".format(arg_seed)) % fw_s.append(tmp[0:ran]) % tmp=np.load("Network_{}_DDPGwithOpt_reward_shaping2_NSFnet_multi_new_Reward.npy".format(arg_seed)) % rw_shaping_s.append(tmp)