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

Last computed: 2024-04-20 03:28:25+00:00

#1 FANG MEIYI 2325	#2 Rami Al-Naim 2336	#2 Konstantin Chaika 2327
copy link	copy link	copy link

Rank (user)	User	Submission	complete	User label	Traveled distance↑	Survival time↑	Lateral deviation ↓	Major infractions ↓
1	FANG MEIYI 🇸🇬	2325	1/1	Test	6.2	16.	0.6	0.
2	Rami Al-Naim 🇷🇺	2336	1/1	Minimal agent	1.24	4.	0.13	1.4
3	Konstantin Chaika	2327	1/1	Minimal agent	1.24	4.	0.13	1.4
-	FANG MEIYI 🇸🇬	2318	1/1	Baseline solution using imitation learning from logs	0.62	4.	0.15	2.2

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
copy link	copy link	copy link

Rank (user)	User	Submission	complete	User label	Traveled distance↑	Survival time↑	Lateral deviation ↓	Major infractions ↓
1	FANG MEIYI 🇸🇬	2325	1/1	Test	6.2	16.	0.6	0.
-	Julian Zilly	2253	1/1	Baseline solution using imitation learning from logs	1.86	6.	0.05	1.
2	Rami Al-Naim 🇷🇺	2336	1/1	Minimal agent	1.24	4.	0.13	1.4
3	Konstantin Chaika	2327	1/1	Minimal agent	1.24	4.	0.13	1.4
-	Andrea Censi 🇨🇭	2304	1/1	Minimal agent	1.24	4.	0.13	1.4
-	Andrea Censi 🇨🇭	2291	1/1	Minimal agent	1.24	4.	0.13	1.4
-	Andrea Censi 🇨🇭	2284	1/1	Minimal agent	1.24	4.	0.13	1.4
-	Andrea Censi 🇨🇭	2274	1/1	Solution template	1.24	4.	0.13	1.4
-	Andrea Censi 🇨🇭	2268	1/1	Solution template	1.24	4.	0.13	1.4
-	Bhairav Mehta	2323	1/1	Baseline solution using reinforcement learning	0.62	8.	0.18	3.2
-	Bhairav Mehta	2322	1/1	Baseline solution using imitation learning from logs	0.62	6.	0.11	2.6
-	FANG MEIYI 🇸🇬	2318	1/1	Baseline solution using imitation learning from logs	0.62	4.	0.15	2.2
-	Liam Paull 🇨🇦	2334	1/1	Baseline solution using reinforcement learning	0.62	2.	0.02	0.2
-	FANG MEIYI 🇸🇬	2319	1/1	Baseline solution using imitation learning from logs	0.62	2.	0.03	0.2
-	Julian Zilly	2316	1/1	Baseline solution using imitation learning from logs	0.62	2.	0.08	0.
-	FANG MEIYI 🇸🇬	2320	1/1	Baseline solution using imitation learning from logs	-1.86	16.	0.7	7.
-	Bhairav Mehta	2333	1/1	Baseline solution using reinforcement learning	-2.48	16.	0.24	7.6