From b9be640284645a338ef7676f7edc28cd57d6434b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jan=20L=C3=B6wenstrom?= Date: Sun, 5 Apr 2020 12:00:16 +0200 Subject: [PATCH] add multiple folders to organize results --- SimpleZ1B2QLearning.png | Bin 18871 -> 0 bytes SimpleZ1B2SARSA.png | Bin 18563 -> 0 bytes SimpleZ1B2SarsaA.png | Bin 26617 -> 0 bytes SimpleZ2B1MonteCarlo.png | Bin 18298 -> 0 bytes SimpleZ2B1MonteCarloA.png | Bin 23452 -> 0 bytes SimpleZ2B1QLearning.png | Bin 18791 -> 0 bytes SimpleZ2B1QLearningMaxValueAsDefault.png | Bin 20347 -> 0 bytes SimpleZ2B2QLearning.png | Bin 18467 -> 0 bytes SimpleZ2B2SARSA.png | Bin 18163 -> 0 bytes SimpleZ2B4QLearning.png | Bin 17258 -> 0 bytes epsilonValues.R | 84 ------------------ .../avgEpisodesUntilConvergence.R | 4 +- .../avgRewardPerTimestampDiffLRandDiscQ.R | 2 +- .../avgTimestampsPerFood.R | 6 +- .../totalTimestampsWhileCollecting.R | 3 +- .../antAnalysisAvgReward.txt | 0 .../avgTimestampsPerFoodDiffDiscounts.txt | 2 +- .../convergencSimpleQLearning099disc09LR.txt | 0 .../convergenceAdvancedMC.txt | 2 +- .../convergenceAdvancedMCnegRew.txt | 0 .../convergenceSimpleMC.txt | 0 ...SimpleNegRewInJumpQLearning099disc09LR.txt | 2 +- ...onvergenceSimpleNoJumpInfoMCfirstVisit.txt | 2 +- ...nceSimpleNoJumpingQLearning099disc09LR.txt | 0 ...ergenceSimpleNoJumpingSARSA099disc09LR.txt | 0 ...genceSimpleQ099Disc09LRSameRewardsAsMC.txt | 0 ...c09LRSameRewardsAsMCMinus1DefaultValue.txt | 0 .../convergenceSimpleSARSA099disc09LR.txt | 0 ...alTimestampsNeededForFoodDiffDiscounts.txt | 2 +- .../AdvancedZ3B1MonteCarlo.png | Bin .../AdvancedZ3B3Monte.png | Bin .../SimpleZ1B2QLearningDisc099LR09.png | Bin .../SimpleZ2B1QLearningDisc099LR09.png | Bin ...eZ2B1QLearningMaxInitValuesDisc099LR09.png | Bin .../SimpleZ2B2QLearningDisc099LR09.png | Bin .../SimpleZ2B2SarsaDisc099LR09.png | Bin .../SimpleZ2B4QLearningDisc099LR09.png | Bin .../antGameAnalysis05Disc.png | Bin .../antGameAnalysis099Disc.png | Bin .../antGameAnalysis09Disc.png | Bin .../avgTimestampsPerFoodOptimality.png | Bin .../mininumNeededTimestampsAntGame.png | Bin .../totalTimestampsContinuousCollecting.png | Bin .../algo/td/QLearningOffPolicyTDControl.java | 8 +- src/main/java/example/ContinuousAnt.java | 23 ++--- 45 files changed, 22 insertions(+), 118 deletions(-) delete mode 100644 SimpleZ1B2QLearning.png delete mode 100644 SimpleZ1B2SARSA.png delete mode 100644 SimpleZ1B2SarsaA.png delete mode 100644 SimpleZ2B1MonteCarlo.png delete mode 100644 SimpleZ2B1MonteCarloA.png delete mode 100644 SimpleZ2B1QLearning.png delete mode 100644 SimpleZ2B1QLearningMaxValueAsDefault.png delete mode 100644 SimpleZ2B2QLearning.png delete mode 100644 SimpleZ2B2SARSA.png delete mode 100644 SimpleZ2B4QLearning.png delete mode 100644 epsilonValues.R rename EpsilonAnalysis.R => rScripts/avgEpisodesUntilConvergence.R (92%) rename DiscAndLRonQLearningAdvanced.R => rScripts/avgRewardPerTimestampDiffLRandDiscQ.R (97%) rename OptimalityDifferentDiscountFactors.R => rScripts/avgTimestampsPerFood.R (94%) rename OptimalityDifferentDiscountFactorTotalTS.R => rScripts/totalTimestampsWhileCollecting.R (97%) rename antAnalysisAvgReward.txt => rawResults/antAnalysisAvgReward.txt (100%) rename optDiscNew.txt => rawResults/avgTimestampsPerFoodDiffDiscounts.txt (91%) rename convergencSimpleQLearning099disc09LR.txt => rawResults/convergencSimpleQLearning099disc09LR.txt (100%) rename convergenceAdvanced.txt => rawResults/convergenceAdvancedMC.txt (99%) rename convergenceAdvancedMCnegRew.txt => rawResults/convergenceAdvancedMCnegRew.txt (100%) rename convergenceSimple.txt => rawResults/convergenceSimpleMC.txt (100%) rename convergenceSimpleNegRewInJumpQLearning099disc09LR.txt => rawResults/convergenceSimpleNegRewInJumpQLearning099disc09LR.txt (98%) rename convergenceSimpleNoJumpInfo.txt => rawResults/convergenceSimpleNoJumpInfoMCfirstVisit.txt (96%) rename convergenceSimpleNoJumpingQLearning099disc09LR.txt => rawResults/convergenceSimpleNoJumpingQLearning099disc09LR.txt (100%) rename convergenceSimpleNoJumpingSARSA099disc09LR.txt => rawResults/convergenceSimpleNoJumpingSARSA099disc09LR.txt (100%) rename convergenceSimpleQ099Disc09LRSameRewardsAsMC.txt => rawResults/convergenceSimpleQ099Disc09LRSameRewardsAsMC.txt (100%) rename convergenceSimpleQ099Disc09LRSameRewardsAsMCMinus1DefaultValue.txt => rawResults/convergenceSimpleQ099Disc09LRSameRewardsAsMCMinus1DefaultValue.txt (100%) rename convergenceSimpleSARSA099disc09LR.txt => rawResults/convergenceSimpleSARSA099disc09LR.txt (100%) rename optDiscTimestampsNew.txt => rawResults/totalTimestampsNeededForFoodDiffDiscounts.txt (93%) rename AdvancedZ3B1MonteCarloA.png => resultDiagrams/AdvancedZ3B1MonteCarlo.png (100%) rename AdvancedZ3B3MonteA.png => resultDiagrams/AdvancedZ3B3Monte.png (100%) rename SimpleZ1B2QLearningA.png => resultDiagrams/SimpleZ1B2QLearningDisc099LR09.png (100%) rename SimpleZ2B1QLearningA.png => resultDiagrams/SimpleZ2B1QLearningDisc099LR09.png (100%) rename SimpleZ2B1QLearningMaxA.png => resultDiagrams/SimpleZ2B1QLearningMaxInitValuesDisc099LR09.png (100%) rename SimpleZ2B2QLearningA.png => resultDiagrams/SimpleZ2B2QLearningDisc099LR09.png (100%) rename SimpleZ2B2SarsaA.png => resultDiagrams/SimpleZ2B2SarsaDisc099LR09.png (100%) rename SimpleZ2B4QLearningA.png => resultDiagrams/SimpleZ2B4QLearningDisc099LR09.png (100%) rename antGameAnalysis05DiscA.png => resultDiagrams/antGameAnalysis05Disc.png (100%) rename antGameAnalysis099DiscA.png => resultDiagrams/antGameAnalysis099Disc.png (100%) rename antGameAnalysis09DiscA.png => resultDiagrams/antGameAnalysis09Disc.png (100%) rename optDisc.png => resultDiagrams/avgTimestampsPerFoodOptimality.png (100%) rename NeededTimestampsFromEverywhere.png => resultDiagrams/mininumNeededTimestampsAntGame.png (100%) rename optDiscTotalTS.png => resultDiagrams/totalTimestampsContinuousCollecting.png (100%) diff --git a/SimpleZ1B2QLearning.png 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Create dummy data -data <- data.frame( - y=ta[,1], - y2=ta[,2], - y3=ta[,3], - y4=ta[,4], - y5=ta[,5], - y6=ta[,6], - y7=ta[,7], - y8=ta[,8], - y9=ta[,9], - y10=ta[,10], - y11=ta[,11], - y12=ta[,12], - y13=ta[,13], - y14=ta[,14], - y15=ta[,15], - x=seq(1, length(ta[,1])) -) -ggplot(data, aes(x*1000)) + - labs(title="Discount factor = 0.99", - x ="Timestamp", y = "Avg. reward per timestamp", color = "Learning rate") + - ylim(-1.5,0.6) + - geom_line(aes(y = y, colour = "0.1"), size=1)+ - geom_line(aes(y = y2, colour = "0.3"), size=1) + - geom_line(aes(y = y3, colour = "0.5"), size=1) + - geom_line(aes(y = y4, colour = "0.7"), size=1) + - geom_line(aes(y = y5, colour = "0.9"), size=1) - -ggplot(data, aes(x*1000)) + - labs(title="Discount factor = 0.9", - x ="Timestamp", y = "Avg. reward per timestamp", color = "Learning rate") + - ylim(-1.5,0.6) + - geom_line(aes(y = y6, colour = "0.1"), size=1) + - geom_line(aes(y = y7, colour = "0.3"), size=1) + - geom_line(aes(y = y8, colour = "0.5"), size=1) + - geom_line(aes(y = y9, colour = "0.7"), size=1) + - geom_line(aes(y = y10, colour = "0.9"), size=1) - -ggplot(data, aes(x*1000) ) + - labs(title="Discount factor = 0.5", - x ="Timestamp", y = "Avg. reward per timestamp", color = "Learning rate") + - ylim(-1.5,0.6) + - geom_line(aes(y = y11, colour = "0.1"), size=1) + - geom_line(aes(y = y12, colour = "0.3"), size=1) + - geom_line(aes(y = y13, colour = "0.5"), size=1) + - geom_line(aes(y = y14, colour = "0.7"), size=1) + - geom_line(aes(y = y15, colour = "0.9"), size=1) - - # scale_x_log10(limits=c(1,150) ) - # scale_y_log10( breaks=c(1,50,500,2500,25000), limits=c(1,25000) ) - -plot(ta, x=x*1000, log="x", type="o") - -convergence <- read.csv(file.choose(), header=FALSE, row.names=1) - -sds <- rowSds(sapply(convergence[,-1], `length<-`, max(lengths(convergence[,-1]))), na.rm=TRUE) -men <- rowMeans(sapply(convergence[,-1], `length<-`, max(lengths(convergence[,-1]))), na.rm=TRUE) -print(sds) - -# create dummy data -data <- data.frame( - names=rownames(convergence), - means=men, - sds=sds -) - -ggplot(data) + - geom_bar(aes(x=names, y=means), stat="identity", fill="skyblue", alpha=0.7) + - geom_errorbar( aes(x=names, ymin=means-sds, ymax=means+sds), width=0.4, colour="orange", alpha=0.9, size=1.3) + - geom_text(aes(label=as.integer(means), x =names, y=means), position=position_dodge(width=0.9), vjust=-0.25) + - xlab("Epsilon") + ylab("avg. amount of episodes until convergence") - - -ba <- barplot(names=rownames(convergence), height=men, ylim=c(0, max(men)*1.2), ylab = "avg. episodes until convergence", xlab = "epsilon value") -text(x = ba, y = men, label = as.integer(men), pos = 3, cex = 0.8, col = "red") diff --git a/EpsilonAnalysis.R b/rScripts/avgEpisodesUntilConvergence.R similarity index 92% rename from EpsilonAnalysis.R rename to rScripts/avgEpisodesUntilConvergence.R index 2e260ab..2c75632 100644 --- a/EpsilonAnalysis.R +++ b/rScripts/avgEpisodesUntilConvergence.R @@ -7,7 +7,7 @@ sds <- rowSds(sapply(convergence[,-1], `length<-`, max(lengths(convergence[,-1]) men <- rowMeans(sapply(convergence[,-1], `length<-`, max(lengths(convergence[,-1]))), na.rm=TRUE) print(sds) -# create dummy data +# create data frame data <- data.frame( names=rownames(convergence), means=men, @@ -20,6 +20,6 @@ convergence.m <- melt(convergence, id.vars = "groups") ggplot(data) + geom_bar(aes(x=names, y=means, fill=means), stat="identity", colour="black", alpha=0.8) + geom_errorbar( aes(x=names, ymin=means, ymax=means+sds), width=0.4, colour="black", alpha=0.8, size=0.6) + - ylim(0,104000) + + # ylim(0,104000) + xlab("Epsilon") + ylab("Ø Episoden bis Konvergenz") + theme_bw(base_size = 24) \ No newline at end of file diff --git a/DiscAndLRonQLearningAdvanced.R b/rScripts/avgRewardPerTimestampDiffLRandDiscQ.R similarity index 97% rename from DiscAndLRonQLearningAdvanced.R rename to rScripts/avgRewardPerTimestampDiffLRandDiscQ.R index f840762..6ee30c3 100644 --- a/DiscAndLRonQLearningAdvanced.R +++ b/rScripts/avgRewardPerTimestampDiffLRandDiscQ.R @@ -6,7 +6,7 @@ ta <- t(ta) dim(ta) head(ta) -# Create dummy data +# Create data frame data <- data.frame( y=ta[,1], y2=ta[,2], diff --git a/OptimalityDifferentDiscountFactors.R b/rScripts/avgTimestampsPerFood.R similarity index 94% rename from OptimalityDifferentDiscountFactors.R rename to rScripts/avgTimestampsPerFood.R index 6a1f58a..4d09818 100644 --- a/OptimalityDifferentDiscountFactors.R +++ b/rScripts/avgTimestampsPerFood.R @@ -5,8 +5,8 @@ ta <- as.matrix(read.table(file.choose(), sep=",", header = FALSE, skip = 1)) ta <- t(ta) dim(ta) head(ta) -print(ta[1:20,1]) -# Create dummy data + +# Create data frame data <- data.frame( y=ta[1:20,1], y2=ta[1:20,2], @@ -20,7 +20,7 @@ data <- data.frame( ) ggplot(data, aes(x*1000)) + labs( x ="Gesamtanzahl gesammeltes Futter", y = "Ø Zeitstempel pro Futter (log)", color = "Diskontierungsfaktor") + - scale_y_log10()+ + #scale_y_log10()+ geom_hline(yintercept=23, linetype="dashed")+ geom_text(aes(0,23,label = "opt", vjust = -1)) + geom_line(aes(y = y, colour = "0.05"), size=1)+ diff --git a/OptimalityDifferentDiscountFactorTotalTS.R b/rScripts/totalTimestampsWhileCollecting.R similarity index 97% rename from OptimalityDifferentDiscountFactorTotalTS.R rename to rScripts/totalTimestampsWhileCollecting.R index 7af1295..1d34138 100644 --- a/OptimalityDifferentDiscountFactorTotalTS.R +++ b/rScripts/totalTimestampsWhileCollecting.R @@ -5,7 +5,8 @@ ta <- as.matrix(read.table(file.choose(), sep=",", header = FALSE, skip = 1)) ta <- t(ta) dim(ta) head(ta) -# Create dummy data + +# Create data frame data <- data.frame( y=ta[,1], y2=ta[,2], diff --git a/antAnalysisAvgReward.txt b/rawResults/antAnalysisAvgReward.txt similarity index 100% rename from antAnalysisAvgReward.txt rename to rawResults/antAnalysisAvgReward.txt diff --git a/optDiscNew.txt b/rawResults/avgTimestampsPerFoodDiffDiscounts.txt similarity index 91% rename from optDiscNew.txt rename to rawResults/avgTimestampsPerFoodDiffDiscounts.txt index 40f9006..7b7ecd1 100644 --- a/optDiscNew.txt +++ b/rawResults/avgTimestampsPerFoodDiffDiscounts.txt @@ -1,4 +1,4 @@ -# 0.05, 0.1, 0.3, 0.5, 0.7, 0.9, 0.95, 0.99 +# Average Timestamps needed to collect one food piece, mean over 1000 collected food; Discount factor for rows: 0.05, 0.1, 0.3, 0.5, 0.7, 0.9, 0.95, 0.99 103.857,48.501,49.283,44.149,44.51,42.402,45.102,41.896,43.104,40.76,41.0,39.134,46.756,44.282,45.834,44.942,41.078,43.66,42.812,41.672,44.022,41.196,42.106,41.384,42.174,42.736,45.792,43.482,48.132,44.14 86.807,32.319,29.317,26.51,25.664,24.348,24.994,23.972,24.46,24.252,24.128,23.758,25.184,24.872,25.286,24.356,24.322,24.262,24.26,24.446,24.888,24.302,24.866,24.236,24.548,24.866,25.894,24.872,26.212,24.632 81.071,30.951,26.07,24.804,23.196,22.67,23.374,22.388,22.666,22.776,22.432,22.294,23.318,23.018,23.44,22.97,22.502,22.776,22.692,22.382,23.178,22.932,23.098,22.726,22.584,23.062,23.548,22.824,23.672,22.73 diff --git a/convergencSimpleQLearning099disc09LR.txt b/rawResults/convergencSimpleQLearning099disc09LR.txt similarity index 100% rename from convergencSimpleQLearning099disc09LR.txt rename to rawResults/convergencSimpleQLearning099disc09LR.txt diff --git a/convergenceAdvanced.txt b/rawResults/convergenceAdvancedMC.txt similarity index 99% rename from convergenceAdvanced.txt rename to rawResults/convergenceAdvancedMC.txt index 9099183..4ecea2c 100644 --- a/convergenceAdvanced.txt +++ b/rawResults/convergenceAdvancedMC.txt @@ -1,4 +1,4 @@ -# 4 speeds, 4 distance. Distance, inJump and incomming speed; Monte Carlo +# 4 speeds, 4 distance. Distance, inJump and incoming speed; Monte Carlo 0.05,8565,3803,4010,30744,5419,1733,30335,4070,7502,7880,12776,2242,10489,4384,23578,14718,17801,7770,4097,5905,4027,5969,8492,1994,1542,18577,2346,13550,2279,5072,39861,15109,4419,10970,6150,2359,3093,7131,5932,18531,6887,22726,4925,3320,6832,13704,10372,25447,22945,28991,4526,12461,1831,20964,21963,2749,7112,3260,33941,14907,9168,7133,6590,21075,5302,2546,10164,3101,3204,7850,40776,38750,32898,14204,4431,12038,13430,13976,7385,7647,9634,12230,6635,9532,4181,12857,10473,2609,3827,4800,4316,5114,4153,6282,4737,5078,7358,11660,4750,16256 0.1,1550,4416,3473,2821,2101,3635,5168,9641,7074,5623,2571,2253,2595,4347,24575,4239,4552,6372,6638,2686,33218,1976,7638,2479,3555,4496,2321,11712,1934,3668,9398,1312,4422,3217,9472,7053,5539,2140,2928,1576,12121,5023,2458,5947,2374,10197,1701,6186,7013,3061,3108,1856,4052,2327,2287,2026,1606,1567,2414,3756,2648,3409,4195,4803,11940,2171,1574,2656,3221,2044,2250,1528,1348,7785,3141,6622,25696,4520,2118,2489,7125,4182,1495,2475,5037,3839,4218,1929,2302,5339,1827,5444,3710,47322,2555,2373,2108,1550,4416,3473 0.15,2328,3189,5422,1943,2057,1630,1405,2079,8071,22741,4056,1704,2727,2339,10381,1246,1831,6658,2760,9416,4036,1243,3716,1199,8678,5480,4038,42601,1133,3576,3852,4014,1487,5849,4275,3766,2240,3917,2164,3695,1954,1869,1854,1751,2785,2334,2821,5942,1310,1680,7867,1987,2345,1785,3898,1598,4382,2881,4874,2345,2483,3962,8058,10204,6444,2885,8494,5135,7150,1041,8020,24960,1720,45430,3546,3751,2077,2269,6051,5372,4247,10739,7114,1169,1757,1162,2699,1765,1367,3226,2290,3695,1756,2452,7385,2599,1426,7600,15285,4712 diff --git a/convergenceAdvancedMCnegRew.txt b/rawResults/convergenceAdvancedMCnegRew.txt similarity index 100% rename from convergenceAdvancedMCnegRew.txt rename to rawResults/convergenceAdvancedMCnegRew.txt diff --git a/convergenceSimple.txt b/rawResults/convergenceSimpleMC.txt similarity index 100% rename from convergenceSimple.txt rename to rawResults/convergenceSimpleMC.txt diff --git a/convergenceSimpleNegRewInJumpQLearning099disc09LR.txt b/rawResults/convergenceSimpleNegRewInJumpQLearning099disc09LR.txt similarity index 98% rename from convergenceSimpleNegRewInJumpQLearning099disc09LR.txt rename to rawResults/convergenceSimpleNegRewInJumpQLearning099disc09LR.txt index e8c8644..aca0ba4 100644 --- a/convergenceSimpleNegRewInJumpQLearning099disc09LR.txt +++ b/rawResults/convergenceSimpleNegRewInJumpQLearning099disc09LR.txt @@ -1,4 +1,4 @@ -# Simple, Dist and inJump, QLearning 0.99 disc 0.9 Learning rade, -1 reward when in jump and jumping +# Simple, Dist and inJump, QLearning 0.99 disc 0.9 Learning rate, -1 reward when in jump and jumping 0.05,6,6,10,8,8,7,6,10,8,6,8,7,8,6,10,10,9,9,12,7,7,8,9,11,8,12,7,8,8,8,9,8,10,7,10,8,9,9,7,7,8,7,7,5,11,8,8,7,8,7,8,8,7,7,9,8,6,5,10,10,7,10,8,7,7,7,7,11,8,9,10,8,10,8,7,6,5,8,7,8,8,8,3,8,9,9,4,8,6,11,7,8,8,8,9,8,12,7,10,9 0.1,6,6,8,10,8,7,6,7,9,6,8,10,8,7,10,22,7,11,9,9,8,14,8,29,8,10,7,7,9,7,10,8,11,7,9,9,10,7,7,14,7,7,10,9,5,6,10,8,9,10,8,6,10,9,10,8,6,18,9,32,6,10,8,7,8,7,7,5,8,9,8,8,8,8,6,6,5,9,7,6,8,8,6,12,9,9,4,8,6,11,8,8,9,7,8,7,10,8,12,37 0.15,7,6,5,9,7,7,6,6,8,15,7,7,13,8,8,16,7,16,12,12,8,21,7,11,7,26,4,7,10,7,10,8,7,7,12,10,6,10,6,6,6,15,20,9,5,8,8,7,10,10,7,48,10,8,12,7,7,6,8,11,6,10,9,7,8,35,8,5,10,5,14,14,10,8,12,8,7,7,7,8,8,7,7,20,9,13,4,10,6,26,12,8,8,10,7,8,11,63,13,16 diff --git a/convergenceSimpleNoJumpInfo.txt b/rawResults/convergenceSimpleNoJumpInfoMCfirstVisit.txt similarity index 96% rename from convergenceSimpleNoJumpInfo.txt rename to rawResults/convergenceSimpleNoJumpInfoMCfirstVisit.txt index c4e74ce..cf26515 100644 --- a/convergenceSimpleNoJumpInfo.txt +++ b/rawResults/convergenceSimpleNoJumpInfoMCfirstVisit.txt @@ -1,4 +1,4 @@ -#same speed and distance. ONLY DISTANCE TO OBSTACLE. 100 trials, rest did not convergec; MONTE CARLO +#same speed and distance. ONLY DISTANCE TO OBSTACLE. 100 trials, rest did not converged!; MONTE CARLO 0.05,8,64,62,15,84,5,72,183 0.1,15,15,6,18,46,28,307 0.15,177,20,12,9,21,4,6,65,173 diff --git a/convergenceSimpleNoJumpingQLearning099disc09LR.txt b/rawResults/convergenceSimpleNoJumpingQLearning099disc09LR.txt similarity index 100% rename from convergenceSimpleNoJumpingQLearning099disc09LR.txt rename to rawResults/convergenceSimpleNoJumpingQLearning099disc09LR.txt diff --git a/convergenceSimpleNoJumpingSARSA099disc09LR.txt b/rawResults/convergenceSimpleNoJumpingSARSA099disc09LR.txt similarity index 100% rename from convergenceSimpleNoJumpingSARSA099disc09LR.txt rename to rawResults/convergenceSimpleNoJumpingSARSA099disc09LR.txt diff --git a/convergenceSimpleQ099Disc09LRSameRewardsAsMC.txt b/rawResults/convergenceSimpleQ099Disc09LRSameRewardsAsMC.txt similarity index 100% rename from convergenceSimpleQ099Disc09LRSameRewardsAsMC.txt rename to rawResults/convergenceSimpleQ099Disc09LRSameRewardsAsMC.txt diff --git a/convergenceSimpleQ099Disc09LRSameRewardsAsMCMinus1DefaultValue.txt b/rawResults/convergenceSimpleQ099Disc09LRSameRewardsAsMCMinus1DefaultValue.txt similarity index 100% rename from convergenceSimpleQ099Disc09LRSameRewardsAsMCMinus1DefaultValue.txt rename to rawResults/convergenceSimpleQ099Disc09LRSameRewardsAsMCMinus1DefaultValue.txt diff --git a/convergenceSimpleSARSA099disc09LR.txt b/rawResults/convergenceSimpleSARSA099disc09LR.txt similarity index 100% rename from convergenceSimpleSARSA099disc09LR.txt rename to rawResults/convergenceSimpleSARSA099disc09LR.txt diff --git a/optDiscTimestampsNew.txt b/rawResults/totalTimestampsNeededForFoodDiffDiscounts.txt similarity index 93% rename from optDiscTimestampsNew.txt rename to rawResults/totalTimestampsNeededForFoodDiffDiscounts.txt index 7b3ec46..dda8f33 100644 --- a/optDiscTimestampsNew.txt +++ b/rawResults/totalTimestampsNeededForFoodDiffDiscounts.txt @@ -1,4 +1,4 @@ -# timestamp needed for x*1000 collected food; 0.05, 0.1, 0.3, 0.5, 0.7, 0.9, 0.95, 0.99 +# timestamp needed for x*1000 collected food; Discount factor for rows: 0.05, 0.1, 0.3, 0.5, 0.7, 0.9, 0.95, 0.99 103856,152357,201640,245789,290299,332701,377803,419699,462803,503563,544563,583697,630453,674735,720569,765511,806589,850249,893061,934733,978755,1019951,1062057,1103441,1145615,1188351,1234143,1277625,1325757,1369897 86806,119125,148442,174952,200616,224964,249958,273930,298390,322642,346770,370528,395712,420584,445870,470226,494548,518810,543070,567516,592404,616706,641572,665808,690356,715222,741116,765988,792200,816832 81070,112021,138091,162895,186091,208761,232135,254523,277189,299965,322397,344691,368009,391027,414467,437437,459939,482715,505407,527789,550967,573899,596997,619723,642307,665369,688917,711741,735413,758143 diff --git a/AdvancedZ3B1MonteCarloA.png b/resultDiagrams/AdvancedZ3B1MonteCarlo.png similarity index 100% rename from AdvancedZ3B1MonteCarloA.png rename to resultDiagrams/AdvancedZ3B1MonteCarlo.png diff --git a/AdvancedZ3B3MonteA.png b/resultDiagrams/AdvancedZ3B3Monte.png similarity index 100% rename from AdvancedZ3B3MonteA.png rename to resultDiagrams/AdvancedZ3B3Monte.png diff --git a/SimpleZ1B2QLearningA.png b/resultDiagrams/SimpleZ1B2QLearningDisc099LR09.png similarity index 100% rename from SimpleZ1B2QLearningA.png rename to resultDiagrams/SimpleZ1B2QLearningDisc099LR09.png diff --git a/SimpleZ2B1QLearningA.png b/resultDiagrams/SimpleZ2B1QLearningDisc099LR09.png similarity index 100% rename from SimpleZ2B1QLearningA.png rename to resultDiagrams/SimpleZ2B1QLearningDisc099LR09.png diff --git a/SimpleZ2B1QLearningMaxA.png b/resultDiagrams/SimpleZ2B1QLearningMaxInitValuesDisc099LR09.png similarity index 100% rename from SimpleZ2B1QLearningMaxA.png rename to resultDiagrams/SimpleZ2B1QLearningMaxInitValuesDisc099LR09.png diff --git a/SimpleZ2B2QLearningA.png b/resultDiagrams/SimpleZ2B2QLearningDisc099LR09.png similarity index 100% rename from SimpleZ2B2QLearningA.png rename to resultDiagrams/SimpleZ2B2QLearningDisc099LR09.png diff --git a/SimpleZ2B2SarsaA.png b/resultDiagrams/SimpleZ2B2SarsaDisc099LR09.png similarity index 100% rename from SimpleZ2B2SarsaA.png rename to resultDiagrams/SimpleZ2B2SarsaDisc099LR09.png diff --git a/SimpleZ2B4QLearningA.png b/resultDiagrams/SimpleZ2B4QLearningDisc099LR09.png similarity index 100% rename from SimpleZ2B4QLearningA.png rename to resultDiagrams/SimpleZ2B4QLearningDisc099LR09.png diff --git a/antGameAnalysis05DiscA.png b/resultDiagrams/antGameAnalysis05Disc.png similarity index 100% rename from antGameAnalysis05DiscA.png rename to resultDiagrams/antGameAnalysis05Disc.png diff --git a/antGameAnalysis099DiscA.png b/resultDiagrams/antGameAnalysis099Disc.png similarity index 100% rename from antGameAnalysis099DiscA.png rename to resultDiagrams/antGameAnalysis099Disc.png diff --git a/antGameAnalysis09DiscA.png b/resultDiagrams/antGameAnalysis09Disc.png similarity index 100% rename from antGameAnalysis09DiscA.png rename to resultDiagrams/antGameAnalysis09Disc.png diff --git a/optDisc.png b/resultDiagrams/avgTimestampsPerFoodOptimality.png similarity index 100% rename from optDisc.png rename to resultDiagrams/avgTimestampsPerFoodOptimality.png diff --git a/NeededTimestampsFromEverywhere.png b/resultDiagrams/mininumNeededTimestampsAntGame.png similarity index 100% rename from NeededTimestampsFromEverywhere.png rename to resultDiagrams/mininumNeededTimestampsAntGame.png diff --git a/optDiscTotalTS.png b/resultDiagrams/totalTimestampsContinuousCollecting.png similarity index 100% rename from optDiscTotalTS.png rename to resultDiagrams/totalTimestampsContinuousCollecting.png diff --git a/src/main/java/core/algo/td/QLearningOffPolicyTDControl.java b/src/main/java/core/algo/td/QLearningOffPolicyTDControl.java index 79ba81f..470b60f 100644 --- a/src/main/java/core/algo/td/QLearningOffPolicyTDControl.java +++ b/src/main/java/core/algo/td/QLearningOffPolicyTDControl.java @@ -76,16 +76,16 @@ public class QLearningOffPolicyTDControl extends EpisodicLearnin if(reward == Reward.FOOD_DROP_DOWN_SUCCESS) { foodCollected++; foodTimestampsTotal += timestampTilFood; - //System.out.println(foodCollected + " " + timestampCurrentEpisode); File file = new File(ContinuousAnt.FILE_NAME); if(foodCollected % 1000 == 0) { + System.out.println(foodTimestampsTotal / 1000f + " " + timestampCurrentEpisode); try { - Files.writeString(Path.of(file.getPath()), timestampCurrentEpisode + ",", StandardOpenOption.APPEND); + Files.writeString(Path.of(file.getPath()), foodTimestampsTotal / 1000f + ",", StandardOpenOption.APPEND); } catch (IOException e) { e.printStackTrace(); } + foodTimestampsTotal = 0; } - foodTimestampsTotal = 0; if(foodCollected == 1000){ ((EpsilonGreedyPolicy) this.policy).setEpsilon(0.15f); } @@ -105,7 +105,7 @@ public class QLearningOffPolicyTDControl extends EpisodicLearnin } catch (IOException e) { e.printStackTrace(); } - return; + // return; } iterations++; timestampTilFood = 0; diff --git a/src/main/java/example/ContinuousAnt.java b/src/main/java/example/ContinuousAnt.java index 0a75ec2..1e7592e 100644 --- a/src/main/java/example/ContinuousAnt.java +++ b/src/main/java/example/ContinuousAnt.java @@ -3,13 +3,12 @@ package example; import core.RNG; import core.algo.Method; import core.controller.RLController; +import core.controller.RLControllerGUI; import evironment.antGame.AntAction; import evironment.antGame.AntWorldContinuous; import java.io.File; import java.io.IOException; -import java.util.ArrayList; -import java.util.List; public class ContinuousAnt { public static final String FILE_NAME = "optDiscTimestampsNew.txt"; @@ -22,33 +21,21 @@ public class ContinuousAnt { } catch (IOException e) { e.printStackTrace(); } - List discValues = new ArrayList<>() { - }; - discValues.add(0.05f); - discValues.add(0.1f); - discValues.add(0.3f); - discValues.add(0.5f); - discValues.add(0.7f); - discValues.add(0.9f); - discValues.add(0.95f); - discValues.add(0.99f); - - for(float disc : discValues) { RNG.setSeed(13); - RLController rl = new RLController<>( + RLController rl = new RLControllerGUI<>( new AntWorldContinuous(8, 8), Method.Q_LEARNING_OFF_POLICY_CONTROL, AntAction.values()); - rl.setDelay(0); + rl.setDelay(20); rl.setNrOfEpisodes(1); //0.99 0.9 0.5 //0.99 0.95 0.9 0.7 0.5 0.3 0.1 - rl.setDiscountFactor(disc); + rl.setDiscountFactor(0.05f); // 0.1, 0.3, 0.5, 0.7 0.9 rl.setLearningRate(0.9f); rl.setEpsilon(0.2f); rl.start(); - } + } }