Leaderboard for challenge "LF 🚗 - Lane following (simulation 👾, validation 🏋)"

Last computed: 2025-02-21 17:34:55+00:00

#1 FANG MEIYI 3131	#2 jiang peng 3281	#3 jiang peng 3296
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Rank (user)	User	Submission	complete	User label	Traveled distance↑	Survival time↑	Lateral deviation ↓	Major infractions ↓
1	FANG MEIYI 🇸🇬	3131	1/1	test	3.72	16.	0.65	1.4
2	jiang peng	3281	1/1	Second test - TH	3.72	16.	0.77	1.
-	jiang peng	3296	1/1	Third test - TH	3.72	16.	1.17	1.2
-	jiang peng	3731	1/1	LF sim test - wh	3.72	16.	1.43	0.2
-	jiang peng	3189	1/1	First test - TH	3.1	16.	0.59	1.
-	jiang peng	3394	1/1	RL-TH-shi	3.1	16.	0.75	0.
-	jiang peng	3587	1/1	Fourth test - TH	3.1	16.	0.84	4.6
3	Anastasiya Nikolskaya 🇷🇺	3338	1/1	JetBrains Research	3.1	16.	1.08	0.
-	Anastasiya Nikolskaya 🇷🇺	3190	1/1	NN Solution	3.1	16.	1.11	1.8
4	Bea Baselines 🐤	3503	1/1	Baseline-IL-logs-tensorflow	3.1	16.	1.18	1.4

Extended leaderboard

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

#1 FANG MEIYI 3131	#2 jiang peng 3281	#3 jiang peng 3296
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Rank (user)	User	Submission	complete	User label	Traveled distance↑	Survival time↑	Lateral deviation ↓	Major infractions ↓
1	FANG MEIYI 🇸🇬	3131	1/1	test	3.72	16.	0.65	1.4
-	FANG MEIYI 🇸🇬	2910	1/1	test	3.72	16.	0.67	0.
2	jiang peng	3281	1/1	Second test - TH	3.72	16.	0.77	1.
-	FANG MEIYI 🇸🇬	3232	1/1	test	3.72	16.	0.91	0.
-	FANG MEIYI 🇸🇬	3207	1/1	test	3.72	16.	0.91	0.
-	jiang peng	3296	1/1	Third test - TH	3.72	16.	1.17	1.2
-	jiang peng	3731	1/1	LF sim test - wh	3.72	16.	1.43	0.2
-	jiang peng	3189	1/1	First test - TH	3.1	16.	0.59	1.
-	jiang peng	3299	1/1	Third test - TH	3.1	16.	0.72	0.
-	FANG MEIYI 🇸🇬	3545	1/1	test	3.1	16.	0.75	0.
-	jiang peng	3394	1/1	RL-TH-shi	3.1	16.	0.75	0.
-	FANG MEIYI 🇸🇬	3666	1/1	test	3.1	16.	0.81	0.
-	jiang peng	3587	1/1	Fourth test - TH	3.1	16.	0.84	4.6
-	jiang peng	3285	1/1	Third test - TH	3.1	16.	0.97	3.4
-	jiang peng	3272	1/1	First test - TH	3.1	16.	1.01	0.8
3	Anastasiya Nikolskaya 🇷🇺	3338	1/1	JetBrains Research	3.1	16.	1.08	0.
-	Anastasiya Nikolskaya 🇷🇺	3190	1/1	NN Solution	3.1	16.	1.11	1.8
-	Anastasiya Nikolskaya 🇷🇺	3194	1/1	NN Solution	3.1	16.	1.17	1.6
4	Bea Baselines 🐤	3503	1/1	Baseline-IL-logs-tensorflow	3.1	16.	1.18	1.4
5	Rami Al-Naim 🇷🇺	3126	1/1	[0.27;0.75]	3.1	16.	1.19	0.
-	Anastasiya Nikolskaya 🇷🇺	3192	1/1	NN Solution	3.1	16.	1.19	2.
-	Anastasiya Nikolskaya 🇷🇺	3209	1/1	SSegm	3.1	16.	1.2	2.2
6	Artem Ioselevskii	3239	1/1	SSegm	3.1	16.	1.23	1.8
-	Anastasiya Nikolskaya 🇷🇺	3199	1/1	NN Solution	3.1	16.	1.25	1.6
-	jiang peng	3274	1/1	Second test - TH	3.1	16.	1.26	2.4
-	jiang peng	3270	1/1	First test - TH	3.1	16.	1.31	0.4
-	Anastasiya Nikolskaya 🇷🇺	3448	1/1	JetBrains Research	3.1	14.	0.95	0.6
-	FANG MEIYI 🇸🇬	2601	1/1	baseline-IL-logs-tensorflow	2.48	16.	0.39	1.4
-	jiang peng	3588	1/1	RL - TH -xyz	2.48	16.	0.57	0.
-	Anastasiya Nikolskaya 🇷🇺	3744	1/1	colcnt fix	2.48	16.	0.75	0.
-	FANG MEIYI 🇸🇬	3336	1/1	test	2.48	16.	0.75	0.
-	Rami Al-Naim 🇷🇺	3122	1/1	v_d_1_K_t_-0.75_no_cache	2.48	16.	0.8	0.2
-	jiang peng	3406	1/1	RL-TH-shi	2.48	16.	0.84	0.8
-	jiang peng	3331	1/1	RL-TH-shi	2.48	16.	0.9	1.6
7	Peter Almasi 🇭🇺	3114	1/1	Baseline solution using reinforcement learning	2.48	16.	0.95	0.
-	Anastasiya Nikolskaya 🇷🇺	3712	1/1	Submission 01	2.48	16.	0.98	0.
-	Anastasiya Nikolskaya 🇷🇺	3591	1/1	Submission 01	2.48	16.	1.	0.2
-	Anastasiya Nikolskaya 🇷🇺	3256	1/1	JetBrains Research	2.48	16.	1.	0.2
-	Anastasiya Nikolskaya 🇷🇺	3191	1/1	NN Solution	2.48	16.	1.04	1.8
-	FANG MEIYI 🇸🇬	3651	1/1	test	2.48	14.	0.69	0.
-	Anastasiya Nikolskaya 🇷🇺	3258	1/1	JetBrains Research	2.48	14.	0.76	0.2
-	Anastasiya Nikolskaya 🇷🇺	3196	1/1	NN Solution	2.48	14.	0.9	2.2
-	Rami Al-Naim 🇷🇺	3123	1/1	[1;0.6]	2.48	14.	1.07	0.
-	Peter Almasi 🇭🇺	3533	1/1	Baseline solution using reinforcement learning	2.48	12.	0.73	0.4
-	jiang peng	3389	1/1	RL-TH-shi	1.86	16.	0.25	0.4
-	jiang peng	3395	1/1	RL-TH-shi	1.86	16.	0.62	1.
-	Anastasiya Nikolskaya 🇷🇺	3711	1/1	submission-val-icra2019	1.86	16.	0.95	0.
-	jiang peng	3320	1/1	RL - TH - shi	1.86	16.	0.96	2.
8	Tony Hsu 🇹🇼	3669	1/1	Baseline solution using reinforcement learning	1.86	16.	1.31	2.
-	Tony Hsu 🇹🇼	3648	1/1	Baseline solution using reinforcement learning	1.86	16.	1.31	2.
-	Tony Hsu 🇹🇼	3621	1/1	Baseline solution using reinforcement learning	1.86	16.	1.31	2.
-	jiang peng	3390	1/1	RL-TH-shi	1.86	14.	0.26	1.8
-	jiang peng	3656	1/1	RL-TH-xyz	1.86	14.	0.4	1.
9	Angel Woo 🇭🇰	3634	1/1	Baseline-IL-logs-tensorflow	1.86	14.	0.55	0.
-	Rami Al-Naim 🇷🇺	3121	1/1	v_d_1_K_t_-0.75_no_cache	1.86	14.	0.89	0.
-	Rami Al-Naim 🇷🇺	3128	1/1	modified configs	1.86	12.	0.89	0.
-	jiang peng	3301	1/1	Second test - TH-jp	1.86	12.	0.89	0.2
-	Rami Al-Naim 🇷🇺	3127	1/1	[0.27;0.6]	1.86	12.	0.96	1.2
-	Artem Ioselevskii	3304	1/1	SSegm	1.86	10.	0.7	0.8
-	Anastasiya Nikolskaya 🇷🇺	3337	1/1	JetBrains Research	1.86	10.	0.71	0.
-	Anastasiya Nikolskaya 🇷🇺	3236	1/1	JetBrains Research	1.86	10.	0.74	0.
-	Anastasiya Nikolskaya 🇷🇺	3187	1/1	Classic Solution	1.86	10.	0.74	0.
-	Anastasiya Nikolskaya 🇷🇺	3186	1/1	Classic Solution	1.86	10.	0.79	0.4
-	jiang peng	3661	1/1	RL-TH-xyz	1.86	8.	0.25	1.8
-	Artem Ioselevskii	3288	1/1	SSegm	1.86	8.	0.41	0.
-	Anastasiya Nikolskaya 🇷🇺	3198	1/1	NN Solution	1.86	8.	0.48	1.2
-	Peter Almasi 🇭🇺	3538	1/1	My solution using reinforcement learning	1.86	8.	0.52	0.
-	Artem Ioselevskii	3307	1/1	SSegm	1.86	8.	0.53	0.
-	Anastasiya Nikolskaya 🇷🇺	3200	1/1	NN Solution	1.86	8.	0.53	0.4
-	Artem Ioselevskii	3305	1/1	SSegm	1.86	8.	0.63	1.
-	Rami Al-Naim 🇷🇺	3125	1/1	[0.35;0.75]	1.86	8.	0.72	0.
-	Tony Hsu 🇹🇼	3678	1/1	Baseline solution using reinforcement learning	1.24	16.	0.14	7.4
-	jiang peng	3244	1/1	Second test - TH-jp	1.24	16.	0.38	0.
-	Tony Hsu 🇹🇼	3709	1/1	Baseline solution using reinforcement learning	1.24	16.	0.45	7.4
-	Tony Hsu 🇹🇼	3704	1/1	Baseline solution using reinforcement learning	1.24	16.	0.45	7.4
-	Tony Hsu 🇹🇼	3686	1/1	Baseline solution using reinforcement learning	1.24	16.	0.45	7.4
-	Tony Hsu 🇹🇼	3676	1/1	Baseline solution using reinforcement learning	1.24	16.	0.45	7.4
-	jiang peng	3713	1/1	final test - wh	1.24	16.	0.59	0.
-	Tony Hsu 🇹🇼	3671	1/1	Baseline solution using reinforcement learning	1.24	16.	0.62	0.
-	Tony Hsu 🇹🇼	3659	1/1	Baseline solution using reinforcement learning	1.24	16.	0.62	0.
-	Tony Hsu 🇹🇼	3623	1/1	Baseline solution using reinforcement learning	1.24	16.	0.62	0.
-	Julian Zilly	2974	1/1	Baseline-IL-logs-tensorflow	1.24	16.	0.67	0.
-	jiang peng	3235	1/1	RL - TH -hhk	1.24	16.	0.69	1.4
-	jiang peng	3516	1/1	Second test - TH-jp	1.24	16.	0.84	0.
-	Rami Al-Naim 🇷🇺	3118	1/1	v_d_3/2	1.24	16.	0.85	0.
-	jiang peng	3321	1/1	Third test - TH	1.24	16.	0.94	1.
-	jiang peng	3380	1/1	RL-TH-shi	1.24	16.	1.26	0.
-	jiang peng	3520	1/1	Second test - TH-jp	1.24	14.	0.49	0.
-	Angel Woo 🇭🇰	3098	1/1	Baseline-IL-logs-tensorflow	1.24	14.	0.58	0.
-	Angel Woo 🇭🇰	3095	1/1	Baseline-IL-logs-tensorflow	1.24	14.	0.58	0.
-	Angel Woo 🇭🇰	3065	1/1	Baseline-IL-logs-tensorflow	1.24	14.	0.58	0.
-	jiang peng	3429	1/1	RL - TH -xyz	1.24	12.	0.52	2.6
-	Rami Al-Naim 🇷🇺	3120	1/1	v_d_1.75_no_cache	1.24	12.	0.79	0.
-	jiang peng	3417	1/1	RL - TH -xyz	1.24	10.	0.28	1.2
-	jiang peng	3589	1/1	RL - TH -xyz	1.24	10.	0.29	1.6
-	jiang peng	3423	1/1	RL - TH -xyz	1.24	10.	0.31	1.4
-	Angel Woo 🇭🇰	3639	1/1	HKDUCK	1.24	10.	0.32	0.6
-	Julian Zilly	3757	1/1	Baseline-IL-logs-tensorflow	1.24	10.	0.39	1.
-	Julian Zilly	2957	1/1	Baseline-IL-logs-tensorflow	1.24	10.	0.39	2.2
10	Andy Ser	3153	1/1	challenge-aido_LF-baseline-duckietown	1.24	10.	0.49	0.4
-	Rami Al-Naim 🇷🇺	3119	1/1	v_d_3/2_no_cache	1.24	10.	0.58	0.
-	Artem Ioselevskii	3268	1/1	SSegm	1.24	10.	0.58	1.8
-	Liam Paull 🇨🇦	3483	1/1	duckietown lane following demo	1.24	10.	0.64	0.
11	Nicky Eichmann	3585	1/1	Baseline solution using reinforcement learning	1.24	8.	0.22	0.
-	Angel Woo 🇭🇰	3640	1/1	HKDUCK	1.24	8.	0.31	1.
-	Andrea Daniele 🇮🇹	2877	1/1	minimal_agent (Python 3)	1.24	8.	0.37	0.4
-	Liam Paull 🇨🇦	2370	1/1	minimal_agent (Python 3)	1.24	8.	0.37	0.4
-	jiang peng	3273	1/1	RL - TH -hhk	1.24	8.	0.37	3.
12	Alexander Karavaev	3130	1/1	test	1.24	8.	0.43	0.2
-	Rami Al-Naim 🇷🇺	2677	1/1	challenge-aido_LF-baseline-duckietown	1.24	8.	0.49	0.2
-	Artem Ioselevskii	3227	1/1	challenge-aido_LF-baseline-duckietown	1.24	8.	0.55	0.2
-	Anastasiya Nikolskaya 🇷🇺	3197	1/1	NN Solution	1.24	8.	0.55	1.
-	Artem Ioselevskii	3267	1/1	SSegm	1.24	6.	0.22	0.4
-	Peter Almasi 🇭🇺	3117	1/1	Baseline solution using reinforcement learning	1.24	6.	0.23	0.2
-	Manfred Diaz	3692	1/1	challenge-aido_LF-template-tensorflow	1.24	6.	0.24	1.
-	Rami Al-Naim 🇷🇺	3124	1/1	[0.4;0.7]	1.24	6.	0.26	0.8
-	Artem Ioselevskii	3289	1/1	SSegm	1.24	6.	0.27	0.
-	Artem Ioselevskii	3294	1/1	SSegm	1.24	6.	0.27	0.2
-	Artem Ioselevskii	3291	1/1	SSegm	1.24	6.	0.28	0.
-	Artem Ioselevskii	3295	1/1	SSegm	1.24	6.	0.28	0.8
-	jiang peng	3241	1/1	Second test - TH	1.24	6.	0.32	0.8
-	Artem Ioselevskii	3293	1/1	SSegm	1.24	6.	0.34	0.
-	Artem Ioselevskii	3302	1/1	SSegm	1.24	6.	0.34	0.6
-	Anastasiya Nikolskaya 🇷🇺	3226	1/1	JetBrains Research	1.24	6.	0.34	0.8
-	Artem Ioselevskii	3297	1/1	SSegm	1.24	6.	0.35	1.8
-	Artem Ioselevskii	3290	1/1	SSegm	1.24	6.	0.39	0.
-	Artem Ioselevskii	3306	1/1	SSegm	1.24	6.	0.39	0.8
-	Artem Ioselevskii	3287	1/1	SSegm	1.24	6.	0.46	0.
-	Rami Al-Naim 🇷🇺	3097	1/1	challenge-aido_LF-baseline-duckietown	1.24	6.	0.46	0.
-	Anastasiya Nikolskaya 🇷🇺	3339	1/1	SSegm	1.24	6.	0.5	0.
13	Konstantin Chaika	2691	1/1	challenge-aido_LF-baseline-duckietown	1.24	6.	0.52	1.2
-	Anastasiya Nikolskaya 🇷🇺	3682	1/1	Submission 01	1.24	6.	0.58	0.2
-	Andrea Censi 🇨🇭	3578	1/1	rotation	1.24	4.	0.1	0.2
-	Bea Baselines 🐤	3517	1/1	Straight max	1.24	4.	0.1	0.2
14	Ashwin Ram 🇸🇬	3311	1/1	challenge-aido_LF-template-random	1.24	4.	0.13	0.8
-	Liam Paull 🇨🇦	2376	1/1	minimal_agent_python2 (Python 2)	1.24	4.	0.15	0.2
-	Peter Almasi 🇭🇺	2867	1/1	Baseline solution using reinforcement learning	1.24	4.	0.16	0.6
-	Nicky Eichmann	3627	1/1		1.24	4.	0.17	0.8
-	Artem Ioselevskii	3298	1/1	SSegm	1.24	4.	0.23	0.2
-	Anastasiya Nikolskaya 🇷🇺	3195	1/1	NN Solution	1.24	4.	0.24	0.8
-	Nicky Eichmann	3577	1/1	Baseline solution using reinforcement learning	0.62	16.	0.32	8.
-	Angel Woo 🇭🇰	3111	1/1	HKU Duckietown Project	0.62	16.	0.44	2.2
-	jiang peng	3723	1/1	Second test -RGB- TH-jp	0.62	16.	0.45	0.
-	jiang peng	3310	1/1	RL - TH -hhk	0.62	16.	0.49	0.
-	Angel Woo 🇭🇰	3105	1/1	HKU Duckietown Project	0.62	16.	0.64	5.6
-	Angel Woo 🇭🇰	3104	1/1	HKU Duckietown Project	0.62	16.	0.64	5.6
-	Angel Woo 🇭🇰	3100	1/1	HKU Duckietown Project	0.62	16.	0.65	5.6
-	Angel Woo 🇭🇰	3102	1/1	HKU Duckietown Project	0.62	16.	0.66	5.6
-	jiang peng	3247	1/1	Second test - TH-jp	0.62	12.	0.57	0.2
-	Angel Woo 🇭🇰	3156	1/1	After debugging	0.62	10.	0.21	4.2
-	Angel Woo 🇭🇰	3638	1/1	HKDUCK	0.62	10.	0.42	3.4
-	Alexander Karavaev	2857	1/1	challenge-aido_LF-baseline-duckietown	0.62	8.	0.22	0.8
-	Julian Zilly	2587	1/1	baseline-IL-logs-tensorflow	0.62	8.	0.32	0.
-	jiang peng	3234	1/1	First test - TH -hhk	0.62	8.	0.39	1.8
-	Rami Al-Naim 🇷🇺	2704	1/1	challenge-aido_LF-baseline-duckietown	0.62	8.	0.44	0.4
-	Angel Woo 🇭🇰	3113	1/1	HKU Duckietown Project	0.62	6.	0.22	0.2
-	Artem Ioselevskii	3292	1/1	SSegm	0.62	6.	0.27	0.2
-	Angel Woo 🇭🇰	3162	1/1	Roasted duck	0.62	6.	0.29	0.2
-	Angel Woo 🇭🇰	3323	1/1	Roasted duck	0.62	6.	0.3	0.2
-	Angel Woo 🇭🇰	3312	1/1	Roasted duck	0.62	6.	0.3	0.2
-	Angel Woo 🇭🇰	3313	1/1	Roasted duck	0.62	6.	0.31	0.2
-	Angel Woo 🇭🇰	3303	1/1	Roasted duck	0.62	6.	0.31	0.2
-	Angel Woo 🇭🇰	3164	1/1	Roasted duck	0.62	6.	0.31	0.2
-	Angel Woo 🇭🇰	3158	1/1	Roasted duck	0.62	6.	0.31	0.2
-	Peter Almasi 🇭🇺	2893	1/1	Baseline solution using reinforcement learning	0.62	6.	0.35	1.4
15	Lei Chen	3376	1/1	challenge-aido_LF-baseline-duckietown	0.62	6.	0.39	0.
-	Ashwin Ram 🇸🇬	3166	1/1	challenge-aido_LF-template-random	0.62	4.	0.1	0.4
-	Peter Almasi 🇭🇺	2871	1/1	Baseline solution using reinforcement learning	0.62	4.	0.1	0.8
-	Nicky Eichmann	3586	1/1	Baseline solution using reinforcement learning	0.62	4.	0.11	1.4
-	Nicky Eichmann	3546	1/1	Baseline solution using reinforcement learning	0.62	4.	0.12	0.
16	Isabelle Guyon 🇺🇸	3351	1/1	challenge-aido_LF-template-ros - Template solution using ROS	0.62	4.	0.12	0.4
-	Bhairav Mehta	2755	1/1	challenge-aido_LF-template-ros - Template solution using ROS	0.62	4.	0.12	0.4
17	Egor Zamotaev	2641	1/1	challenge-aido_LF-template-ros - Template solution using ROS	0.62	4.	0.12	0.4
-	Konstantin Chaika	2605	1/1	challenge-aido_LF-template-ros - Template solution using ROS	0.62	4.	0.12	0.4
-	Alexander Karavaev	2561	1/1	challenge-aido_LF-template-ros - Template solution using ROS	0.62	4.	0.12	0.4
-	Andrea Censi 🇨🇭	2548	1/1	challenge-aido_LF-template-ros - Template solution using ROS	0.62	4.	0.12	0.4
-	Nicky Eichmann	3537	1/1	Baseline solution using reinforcement learning	0.62	4.	0.13	0.
18	sebastian glatz	3747	1/1		0.62	4.	0.14	0.4
19	Victor Adolfo Romero Cano 🇨🇴	3595	1/1		0.62	4.	0.14	0.4
20	Amaury Camus 🇨🇭	3551	1/1	Running the real lane following -- without challenge container	0.62	4.	0.14	0.4
-	Amaury Camus 🇨🇭	3364	1/1	challenge-aido_LF-template-random	0.62	4.	0.14	0.4
21	Kuan-Lin Chen 🇹🇼	3253	1/1	challenge-aido_LF-template-random	0.62	4.	0.14	0.4
22	Shen Yu Chia 🇹🇼	3249	1/1	challenge-aido_LF-template-random	0.62	4.	0.14	0.4
23	Brian Chuang	3248	1/1	challenge-aido_LF-template-random	0.62	4.	0.14	0.4
-	Amaury Camus 🇨🇭	3213	1/1	challenge-aido_LF-template-random	0.62	4.	0.14	0.4
24	Ian Li 🇹🇼	3176	1/1	challenge-aido_LF-template-random	0.62	4.	0.14	0.4
25	Chao-Chun Hsu 🇹🇼	3174	1/1	challenge-aido_LF-template-random	0.62	4.	0.14	0.4
26	SIN KIAT LIM 🇲🇾	3173	1/1	challenge-aido_LF-template-random	0.62	4.	0.14	0.4
27	Jui-Te Huang 🇹🇼	3172	1/1	challenge-aido_LF-template-random	0.62	4.	0.14	0.4
28	Pokai Chang	3168	1/1	challenge-aido_LF-template-random	0.62	4.	0.14	0.4
-	Amaury Camus 🇨🇭	3138	1/1	challenge-aido_LF-template-random	0.62	4.	0.14	0.4
-	Liam Paull 🇨🇦	2819	1/1	challenge-aido_LF-template-random	0.62	4.	0.14	0.4
-	Andrea Censi 🇨🇭	2805	1/1	challenge-aido_LF-template-random - random_agent	0.62	4.	0.14	0.4
-	Andrea Censi 🇨🇭	2629	1/1	challenge-aido_LF-template-random	0.62	4.	0.14	0.4
-	Andrea Censi 🇨🇭	2617	1/1	challenge-aido_LF-template-random	0.62	4.	0.14	0.4
-	Liam Paull 🇨🇦	2468	1/1	challenge-aido_LF-template-random	0.62	4.	0.14	0.4
-	Jacopo Tani	2440	1/1	random_agent	0.62	4.	0.14	0.4
-	Andrea Censi 🇨🇭	2417	1/1	random_agent	0.62	4.	0.14	0.4
-	Liam Paull 🇨🇦	2392	1/1	random_agent	0.62	4.	0.14	0.4
-	Andrea Censi 🇨🇭	2363	1/1	random_agent	0.62	4.	0.14	0.4
-	Artem Ioselevskii	3300	1/1	SSegm	0.62	4.	0.18	0.
-	Angel Woo 🇭🇰	3579	1/1	Baseline-IL-logs-tensorflow	0.62	4.	0.2	0.2
-	Angel Woo 🇭🇰	3431	1/1	Baseline-IL-logs-tensorflow	0.62	4.	0.21	0.2
-	Angel Woo 🇭🇰	3523	1/1	Baseline-IL-logs-tensorflow	0.62	4.	0.23	0.2
-	Angel Woo 🇭🇰	3377	1/1	Baseline-IL-logs-tensorflow	0.62	4.	0.24	0.2
29	Riza Velioglu 🇩🇪	3607	1/1		0.62	2.	0.05	0.6
-	Peter Almasi 🇭🇺	2872	1/1	challenge-aido_LF-template-pytorch	0.62	2.	0.06	0.2
-	Angel Woo 🇭🇰	3155	1/1	After debugging	0.62	2.	0.07	0.
30	Eric Lu	3487	1/1	Testing the RL solution	0.62	2.	0.07	0.4
31	Victor Guerra 🇫🇷	2403	1/1	Baseline solution using reinforcement learning	0.62	2.	0.07	0.4
-	Ashwin Ram 🇸🇬	2909	1/1	challenge-aido_LF-template-random	0.62	2.	0.08	0.
-	Andrea Censi 🇨🇭	2384	1/1	Baseline solution using reinforcement learning	0.62	2.	0.08	0.
-	Liam Paull 🇨🇦	2492	1/1	challenge-aido_LF-template-pytorch	0.62	2.	0.08	0.2
-	Bhairav Mehta	2921	1/1	challenge-aido_LF-template-pytorch	0.62	2.	0.09	0.
-	Bhairav Mehta	2945	1/1	Baseline solution using reinforcement learning	0.62	2.	0.1	0.
-	Nicky Eichmann	3536	1/1	Baseline solution using reinforcement learning	0.62	2.	0.11	0.6
-	jiang peng	3188	1/1	Baseline solution using reinforcement learning	0.62	2.	0.11	0.8
-	Andrea Censi 🇨🇭	3055	1/1	rotation	-0.	16.	0.45	7.8
-	jiang peng	3544	1/1	Fourth test - TH	0.	16.	0.47	7.2
-	Nicky Eichmann	3548	1/1	Baseline solution using reinforcement learning	0.	16.	0.5	7.2
-	Angel Woo 🇭🇰	3622	1/1	Baseline-IL-logs-tensorflow	-0.	16.	0.64	0.
-	Tony Hsu 🇹🇼	3672	1/1	Baseline solution using reinforcement learning	-0.62	8.	0.26	2.6
-	Nicky Eichmann	2447	1/1	Baseline solution using reinforcement learning	-1.24	16.	1.41	2.6