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Leaderboard for challenge "[old] LF - Lane following."

Last computed:

#1 FANG MEIYI 2325#2 Rami Al-Naim 2336#2 Konstantin Chaika 2327
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Rank (user)UserSubmissioncompleteUser labelTraveled distanceSurvival timeLateral deviationMajor infractions
1FANG MEIYI 🇸🇬23251/1Test6.216.0.60.
2Rami Al-Naim 🇷🇺23361/1Minimal agent1.244.0.131.4
3Konstantin Chaika23271/1Minimal agent1.244.0.131.4
-FANG MEIYI 🇸🇬23181/1Baseline solution using imitation learning from logs0.624.0.152.2

Extended leaderboard

This list includes repeated entries from the same user and the entries from the organizers.

#1 FANG MEIYI 2325#2 Rami Al-Naim 2336#2 Konstantin Chaika 2327
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Rank (user)UserSubmissioncompleteUser labelTraveled distanceSurvival timeLateral deviationMajor infractions
1FANG MEIYI 🇸🇬23251/1Test6.216.0.60.
-Julian Zilly22531/1Baseline solution using imitation learning from logs1.866.0.051.
2Rami Al-Naim 🇷🇺23361/1Minimal agent1.244.0.131.4
3Konstantin Chaika23271/1Minimal agent1.244.0.131.4
-Andrea Censi 🇨🇭23041/1Minimal agent1.244.0.131.4
-Andrea Censi 🇨🇭22911/1Minimal agent1.244.0.131.4
-Andrea Censi 🇨🇭22841/1Minimal agent1.244.0.131.4
-Andrea Censi 🇨🇭22741/1Solution template1.244.0.131.4
-Andrea Censi 🇨🇭22681/1Solution template1.244.0.131.4
-Bhairav Mehta23231/1Baseline solution using reinforcement learning0.628.0.183.2
-Bhairav Mehta23221/1Baseline solution using imitation learning from logs0.626.0.112.6
-FANG MEIYI 🇸🇬23181/1Baseline solution using imitation learning from logs0.624.0.152.2
-Liam Paull 🇨🇦23341/1Baseline solution using reinforcement learning0.622.0.020.2
-FANG MEIYI 🇸🇬23191/1Baseline solution using imitation learning from logs0.622.0.030.2
-Julian Zilly23161/1Baseline solution using imitation learning from logs0.622.0.080.
-FANG MEIYI 🇸🇬23201/1Baseline solution using imitation learning from logs-1.8616.0.77.
-Bhairav Mehta23331/1Baseline solution using reinforcement learning-2.4816.0.247.6