Update dataset

AntBulletEnv-v0.csv

@@ -450,7 +450,7 @@ Ranking,User,Model,Results,Mean Reward,Std Reward
 449,Shivraj8615,Shivraj8615/a2c-AntBulletEnv-v0,1406.2,1567.75,161.55
 450,haidlir,haidlir/AntBulletEnv-v0-A2C,1405.66,1577.24,171.58
 451,NielsV,NielsV/a2c-AntBulletEnv-v0,1405.61,1503.31,97.7
-452,kvothe,kvothe/a2c-AntBulletEnv-v0,1405.6000000000001,1829.43,423.83
+452,Pranjalya,Pranjalya/a2c-AntBulletEnv-v0,1405.6000000000001,1829.43,423.83
 453,NickThe1,NickThe1/a2c-AntBulletEnv-v0,1405.06,1535.95,130.89
 454,dhmeltzer,dhmeltzer/a2c-AntBulletEnv-v0,1404.74,1571.76,167.02
 455,dor88,dor88/a2c-AntBulletEnv-v0,1404.3,1776.96,372.66

CartPole-v1.csv

@@ -1675,7 +1675,7 @@ Ranking,User,Model,Results,Mean Reward,Std Reward
 1674,pfunk,pfunk/CartPole-v1-CP_DQPN_x10-seed777,388.06,388.06,0.0
 1675,pfunk,pfunk/CartPole-v1-CP_DQPN_DQN-seed777,387.57,387.57,0.0
 1676,pfunk,pfunk/CartPole-v1-CP_DQN-seed777,387.57,387.57,0.0
-1677,kvothe,kvothe/Reinforce-cartpole_v1,387.12,464.27,77.15
+1677,Pranjalya,Pranjalya/Reinforce-cartpole_v1,387.12,464.27,77.15
 1678,Flynews,Flynews/Reinforce-cartpole-test,385.99,403.47,17.48
 1679,pfunk,pfunk/CartPole-v1-DQPN_freq_1000_0.99-seed4,385.92,385.92,0.0
 1680,pfunk,pfunk/CartPole-v1-CP_DQN_norm_40-seed929,385.57,385.57,0.0

FrozenLake-v1-4x4-no_slippery.csv

@@ -1426,7 +1426,7 @@ Ranking,User,Model,Results,Mean Reward,Std Reward
 1425,ramelol,ramelol/q-FrozenLake-v1-4x4-noSlippery,1.0,1.0,0.0
 1426,mark-e,mark-e/q-FrozenLake-v1-4x4-noSlippery,1.0,1.0,0.0
 1427,Saladchin,Saladchin/q-FrozenLake-v1-4x4-noSlippery,1.0,1.0,0.0
-1428,kvothe,kvothe/q-FrozenLake-v1-4x4-noSlippery,1.0,1.0,0.0
+1428,Pranjalya,Pranjalya/q-FrozenLake-v1-4x4-noSlippery,1.0,1.0,0.0
 1429,manuelmaiorano,manuelmaiorano/q-FrozenLake-v1-4x4-noSlippery,1.0,1.0,0.0
 1430,Zaleks,Zaleks/q-FrozenLake-v1-4x4-noSlippery,1.0,1.0,0.0
 1431,msthil2,msthil2/q-FrozenLake-v1-4x4-noSlippery,1.0,1.0,0.0

PandaReachDense-v2.csv

@@ -837,7 +837,7 @@ Ranking,User,Model,Results,Mean Reward,Std Reward
 836,imflash217,imflash217/a2c-PandaReachDense-v2,-4.31,-3.28,1.03
 837,env-test,env-test/a2c-PandaReachDense-v2,-4.34,-3.47,0.87
 838,Claaas,Claaas/a2c-PandaReachDense-v2,-4.39,-3.46,0.93
-839,kvothe,kvothe/a2c-PandaReachDense-v2,-4.42,-2.94,1.48
+839,Pranjalya,Pranjalya/a2c-PandaReachDense-v2,-4.42,-2.94,1.48
 840,YoavWigelman,YoavWigelman/a2c-PandaReachDense-v2,-4.48,-3.42,1.06
 841,dededivad,dededivad/a2c-PandaReachDense-v2,-4.5,-3.65,0.85
 842,Agneev,Agneev/a2c-PandaReachDense-v2,-4.529999999999999,-3.51,1.02

Pixelcopter-PLE-v0.csv

@@ -1246,7 +1246,7 @@ Ranking,User,Model,Results,Mean Reward,Std Reward
 1245,Dewa,Dewa/rl-Pixelcopter,2.0799999999999983,20.0,17.92
 1246,digitaljungle,digitaljungle/reinforce-copter,2.0700000000000003,25.4,23.33
 1247,jliu596,jliu596/flappybirdknockoff,2.0600000000000005,13.4,11.34
-1248,kvothe,kvothe/Reinforce-PixelCopter,2.039999999999999,19.9,17.86
+1248,Pranjalya,Pranjalya/Reinforce-PixelCopter,2.039999999999999,19.9,17.86
 1249,osanseviero,osanseviero/Reinforce-Pixelcopter-PLE-v0,2.0199999999999996,16.2,14.18
 1250,anechaev,anechaev/Reinforce-U5Pixelcopter,2.0100000000000016,17.1,15.09
 1251,AinTziLLo,AinTziLLo/Reinforce-elicop-01,1.9900000000000002,7.3,5.31

Taxi-v3.csv

@@ -456,7 +456,7 @@ Ranking,User,Model,Results,Mean Reward,Std Reward
 455,sonny-dev,sonny-dev/taxi,4.85,7.56,2.71
 456,Zaleks,Zaleks/q-Taxi-v3,4.85,7.56,2.71
 457,manuelmaiorano,manuelmaiorano/taxi-v3,4.85,7.54,2.69
-458,kvothe,kvothe/taxi-v3-qlearning,4.85,7.56,2.71
+458,Pranjalya,Pranjalya/taxi-v3-qlearning,4.85,7.56,2.71
 459,Sebschub,Sebschub/deep-rl-class-q-Taxi-v3,4.85,7.56,2.71
 460,arbts,arbts/taxi-v3-initial,4.85,7.56,2.71
 461,JaviBJ,JaviBJ/q-Taxi-v3,4.85,7.52,2.67