Update dataset

Taxi-v3.csv

@@ -30,9 +30,9 @@ Ranking,User,Model,Results,Mean Reward,Std Reward
 29,linksaiyajin,linksaiyajin/q-Taxi-v3,4.8999999999999995,7.52,2.62
 30,Patil,Patil/q-Taxi-v3,4.8999999999999995,7.52,2.62
 31,GoodGuyTim,GoodGuyTim/GoodGuyTim-QTable-Taxi,4.8999999999999995,7.52,2.62
-32,elkcloner,elkcloner/taxi-v1,4.8999999999999995,7.52,2.62
+32,orepin,orepin/q-Taxi-v3,4.8999999999999995,7.52,2.62
 33,pabloyesteb,pabloyesteb/q-Taxi-v3,4.8999999999999995,7.52,2.62
-34,orepin,orepin/q-Taxi-v3,4.8999999999999995,7.52,2.62
+34,elkcloner,elkcloner/taxi-v1,4.8999999999999995,7.52,2.62
 35,ludsil,ludsil/taxi,4.8999999999999995,7.52,2.62
 36,lianlian123,lianlian123/Taxi-v3,4.8999999999999995,7.52,2.62
 37,xerl,xerl/Taxi-v3,4.8999999999999995,7.52,2.62
@@ -533,7 +533,7 @@ Ranking,User,Model,Results,Mean Reward,Std Reward
 532,Isaac009,Isaac009/Q_learning-TAXI-V3-Trial2,4.85,7.56,2.71
 533,Ellipsoul,Ellipsoul/q-Taxi-v3,4.85,7.56,2.71
 534,diskshima,diskshima/deep-rl-class-unit02-Taxi-v3,4.85,7.56,2.71
-535,SunilNiloor,SunilNiloor/q-Taxi-v3-rgb_array,4.85,7.56,2.71
+535,thisiswooyeol,thisiswooyeol/Taxi-v3,4.85,7.56,2.71
 536,infatum,infatum/q-Taxi-v3,4.85,7.56,2.71
 537,Larxel,Larxel/q-Taxi-v3,4.85,7.56,2.71
 538,alkiskoudounas,alkiskoudounas/q-Taxi-v3,4.85,7.56,2.71
@@ -550,8 +550,8 @@ Ranking,User,Model,Results,Mean Reward,Std Reward
 549,songyizhao,songyizhao/q-taxi-v3,4.85,7.52,2.67
 550,maidh,maidh/q-Taxi-v3,4.85,7.56,2.71
 551,AlexChe,AlexChe/q-Taxi-v3,4.85,7.56,2.71
-552,Tao2AIScienceHPC,Tao2AIScienceHPC/Taxi-v3,4.85,7.56,2.71
-553,thisiswooyeol,thisiswooyeol/Taxi-v3,4.85,7.56,2.71
+552,SunilNiloor,SunilNiloor/q-Taxi-v3-rgb_array,4.85,7.56,2.71
+553,Tao2AIScienceHPC,Tao2AIScienceHPC/Taxi-v3,4.85,7.56,2.71
 554,thisiswooyeol,thisiswooyeol/Taxi-v3-baseline,4.85,7.56,2.71
 555,felicia-mj,felicia-mj/Taxi-v3,4.85,7.56,2.71
 556,arkadyark,arkadyark/q-Taxi-v3,4.85,7.56,2.71