Duckietown Challenges | Home | Challenges | Submissions |
Last computed:
#1 FANG MEIYI 3590 | #2 Anastasiya Nikolskaya 3340 | #3 Peter Almasi 3539 |
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Rank (user) | User | Submission | complete | User label | Traveled distance↑ | Survival time↑ | Lateral deviation ↓ | Major infractions ↓ |
1 | FANG MEIYI 🇸🇬 | 3590 | 1/1 | test | 3.72 | 16. | 0.78 | 0. |
2 | Anastasiya Nikolskaya 🇷🇺 | 3340 | 1/1 | JetBrains Research | 3.1 | 16. | 1.13 | 1.4 |
3 | Peter Almasi 🇭🇺 | 3539 | 1/1 | My solution using reinforcement learning | 3.1 | 14. | 0.73 | 0.2 |
- | Peter Almasi 🇭🇺 | 3115 | 1/1 | Baseline solution using reinforcement learning | 2.48 | 16. | 0.84 | 0. |
4 | jiang peng | 3381 | 1/1 | RL-TH-shi | 2.48 | 16. | 1. | 0.6 |
5 | Tony Hsu 🇹🇼 | 3679 | 1/1 | Baseline solution using reinforcement learning | 1.24 | 16. | 0.14 | 7.4 |
- | jiang peng | 3724 | 1/1 | Second test -RGB- TH-jp | 1.24 | 16. | 0.39 | 0. |
6 | Angel Woo 🇭🇰 | 3094 | 1/1 | Baseline-IL-logs-tensorflow | 1.24 | 14. | 0.6 | 0. |
7 | Bea Baselines 🐤 | 3522 | 1/1 | challenge-aido_LF-baseline-duckietown | 1.24 | 10. | 0.47 | 0.4 |
8 | Artem Ioselevskii | 3266 | 1/1 | SSegm | 1.24 | 6. | 0.25 | 0. |
This list includes repeated entries from the same user and the entries from the organizers.
#1 FANG MEIYI 3590 | #2 Anastasiya Nikolskaya 3340 | #3 Peter Almasi 3539 |
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Rank (user) | User | Submission | complete | User label | Traveled distance↑ | Survival time↑ | Lateral deviation ↓ | Major infractions ↓ |
1 | FANG MEIYI 🇸🇬 | 3590 | 1/1 | test | 3.72 | 16. | 0.78 | 0. |
2 | Anastasiya Nikolskaya 🇷🇺 | 3340 | 1/1 | JetBrains Research | 3.1 | 16. | 1.13 | 1.4 |
3 | Peter Almasi 🇭🇺 | 3539 | 1/1 | My solution using reinforcement learning | 3.1 | 14. | 0.73 | 0.2 |
- | Peter Almasi 🇭🇺 | 3115 | 1/1 | Baseline solution using reinforcement learning | 2.48 | 16. | 0.84 | 0. |
4 | jiang peng | 3381 | 1/1 | RL-TH-shi | 2.48 | 16. | 1. | 0.6 |
- | Anastasiya Nikolskaya 🇷🇺 | 3355 | 1/1 | JetBrains Research | 2.48 | 16. | 1.06 | 1.6 |
- | Anastasiya Nikolskaya 🇷🇺 | 3348 | 1/1 | JetBrains Research | 2.48 | 16. | 1.07 | 1.6 |
- | Anastasiya Nikolskaya 🇷🇺 | 3447 | 1/1 | JetBrains Research | 2.48 | 14. | 0.95 | 1.2 |
- | Peter Almasi 🇭🇺 | 3534 | 1/1 | Baseline solution using reinforcement learning | 2.48 | 12. | 0.79 | 0.4 |
5 | Tony Hsu 🇹🇼 | 3679 | 1/1 | Baseline solution using reinforcement learning | 1.24 | 16. | 0.14 | 7.4 |
- | Tony Hsu 🇹🇼 | 3705 | 1/1 | Baseline solution using reinforcement learning | 1.24 | 16. | 0.31 | 7.4 |
- | Tony Hsu 🇹🇼 | 3687 | 1/1 | Baseline solution using reinforcement learning | 1.24 | 16. | 0.31 | 7.4 |
- | jiang peng | 3724 | 1/1 | Second test -RGB- TH-jp | 1.24 | 16. | 0.39 | 0. |
6 | Angel Woo 🇭🇰 | 3094 | 1/1 | Baseline-IL-logs-tensorflow | 1.24 | 14. | 0.6 | 0. |
- | Julian Zilly | 3756 | 1/1 | Baseline-IL-logs-tensorflow | 1.24 | 10. | 0.43 | 0.8 |
7 | Bea Baselines 🐤 | 3522 | 1/1 | challenge-aido_LF-baseline-duckietown | 1.24 | 10. | 0.47 | 0.4 |
- | Andrea Censi 🇨🇭 | 2970 | 1/1 | minimal_agent (Python 3) | 1.24 | 8. | 0.3 | 0. |
- | Andrea Daniele 🇮🇹 | 2876 | 1/1 | minimal_agent (Python 3) | 1.24 | 8. | 0.3 | 0. |
- | Liam Paull 🇨🇦 | 2369 | 1/1 | minimal_agent (Python 3) | 1.24 | 8. | 0.3 | 0. |
8 | Artem Ioselevskii | 3266 | 1/1 | SSegm | 1.24 | 6. | 0.25 | 0. |
- | Julian Zilly | 2899 | 1/1 | Baseline-IL-logs-tensorflow | 1.24 | 6. | 0.26 | 1. |
9 | Thies Lennart Alff 🇩🇪 | 2912 | 1/1 | challenge-aido_LF-baseline-duckietown | 1.24 | 6. | 0.44 | 0. |
- | Artem Ioselevskii | 3147 | 1/1 | challenge-aido_LF-baseline-duckietown | 1.24 | 6. | 0.59 | 0. |
10 | Andy Ser | 3154 | 1/1 | challenge-aido_LF-baseline-duckietown | 1.24 | 6. | 0.6 | 0.2 |
- | Liam Paull 🇨🇦 | 3379 | 1/1 | vel_right = 1, vel_left = 1 | 1.24 | 4. | 0.09 | 0.2 |
11 | Nicky Eichmann | 3626 | 1/1 | 1.24 | 4. | 0.15 | 0. | |
- | Liam Paull 🇨🇦 | 2375 | 1/1 | minimal_agent_python2 (Python 2) | 1.24 | 4. | 0.15 | 0.4 |
12 | Alexander Karavaev | 2856 | 1/1 | challenge-aido_LF-baseline-duckietown | 0.62 | 6. | 0.21 | 0.2 |
13 | Konstantin Chaika | 2866 | 1/1 | challenge-aido_LF-baseline-duckietown | 0.62 | 6. | 0.22 | 0.2 |
- | Julian Zilly | 2586 | 1/1 | baseline-IL-logs-tensorflow | 0.62 | 6. | 0.34 | 0.2 |
14 | sebastian glatz | 3746 | 1/1 | 0.62 | 4. | 0.11 | 0.6 | |
15 | Victor Adolfo Romero Cano 🇨🇴 | 3594 | 1/1 | 0.62 | 4. | 0.11 | 0.6 | |
16 | Amaury Camus 🇨🇭 | 3363 | 1/1 | challenge-aido_LF-template-random | 0.62 | 4. | 0.11 | 0.6 |
- | Amaury Camus 🇨🇭 | 3212 | 1/1 | challenge-aido_LF-template-random | 0.62 | 4. | 0.11 | 0.6 |
17 | Masaya Kambara 🇯🇵 | 3206 | 1/1 | challenge-aido_LF-template-random | 0.62 | 4. | 0.11 | 0.6 |
- | Masaya Kambara 🇯🇵 | 3205 | 1/1 | challenge-aido_LF-template-random | 0.62 | 4. | 0.11 | 0.6 |
- | Masaya Kambara 🇯🇵 | 3204 | 1/1 | challenge-aido_LF-template-random | 0.62 | 4. | 0.11 | 0.6 |
- | Amaury Camus 🇨🇭 | 3137 | 1/1 | challenge-aido_LF-template-random | 0.62 | 4. | 0.11 | 0.6 |
- | Peter Almasi 🇭🇺 | 2868 | 1/1 | Baseline solution using reinforcement learning | 0.62 | 4. | 0.11 | 0.6 |
- | Liam Paull 🇨🇦 | 2828 | 1/1 | challenge-aido_LF-template-random | 0.62 | 4. | 0.11 | 0.6 |
- | Liam Paull 🇨🇦 | 2818 | 1/1 | challenge-aido_LF-template-random | 0.62 | 4. | 0.11 | 0.6 |
- | Liam Paull 🇨🇦 | 2814 | 1/1 | challenge-aido_LF-template-random | 0.62 | 4. | 0.11 | 0.6 |
- | Andrea Censi 🇨🇭 | 2628 | 1/1 | challenge-aido_LF-template-random | 0.62 | 4. | 0.11 | 0.6 |
- | Andrea Censi 🇨🇭 | 2616 | 1/1 | challenge-aido_LF-template-random | 0.62 | 4. | 0.11 | 0.6 |
- | Liam Paull 🇨🇦 | 2467 | 1/1 | challenge-aido_LF-template-random | 0.62 | 4. | 0.11 | 0.6 |
- | Jacopo Tani | 2439 | 1/1 | random_agent | 0.62 | 4. | 0.11 | 0.6 |
- | Liam Paull 🇨🇦 | 2391 | 1/1 | random_agent | 0.62 | 4. | 0.11 | 0.6 |
- | Andrea Censi 🇨🇭 | 2362 | 1/1 | random_agent | 0.62 | 4. | 0.11 | 0.6 |
- | Bhairav Mehta | 2754 | 1/1 | challenge-aido_LF-template-ros - Template solution using ROS | 0.62 | 4. | 0.12 | 1. |
18 | Egor Zamotaev | 2640 | 1/1 | challenge-aido_LF-template-ros - Template solution using ROS | 0.62 | 4. | 0.12 | 1. |
- | Konstantin Chaika | 2604 | 1/1 | challenge-aido_LF-template-ros - Template solution using ROS | 0.62 | 4. | 0.12 | 1. |
- | Liam Paull 🇨🇦 | 2583 | 1/1 | challenge-aido_LF-template-ros | 0.62 | 4. | 0.12 | 1. |
19 | Maxim Scherbakov | 2990 | 1/1 | challenge-aido_LF-template-tensorflow | 0.62 | 4. | 0.15 | 0.2 |
- | Manfred Diaz | 3691 | 1/1 | challenge-aido_LF-template-tensorflow | 0.62 | 4. | 0.22 | 0.8 |
- | Bhairav Mehta | 2920 | 1/1 | challenge-aido_LF-template-pytorch | 0.62 | 2. | 0.07 | 0. |
- | Liam Paull 🇨🇦 | 2491 | 1/1 | challenge-aido_LF-template-pytorch | 0.62 | 2. | 0.07 | 0.2 |
20 | Victor Guerra 🇫🇷 | 2402 | 1/1 | Baseline solution using reinforcement learning | 0.62 | 2. | 0.07 | 0.2 |
- | Andrea Censi 🇨🇭 | 2383 | 1/1 | Baseline solution using reinforcement learning | 0.62 | 2. | 0.08 | 0. |
- | Bhairav Mehta | 2944 | 1/1 | Baseline solution using reinforcement learning | 0.62 | 2. | 0.09 | 0. |
- | Liam Paull 🇨🇦 | 2599 | 1/1 | challenge-aido_LF-template-pytorch | 0.62 | 2. | 0.09 | 0. |
- | Bea Baselines 🐤 | 3506 | 1/1 | challenge-aido_LF-template-pytorch | 0.62 | 2. | 0.1 | 0. |
21 | Shalom-David Anifowoshe | 3193 | 1/1 | Baseline solution using reinforcement learning | 0.62 | 2. | 0.1 | 0. |
- | Artem Ioselevskii | 2991 | 1/1 | challenge-aido_LF-template-tensorflow | 0.62 | 2. | 0.12 | 0. |
- | Artem Ioselevskii | 2987 | 1/1 | challenge-aido_LF-template-tensorflow | 0.62 | 2. | 0.13 | 0. |
22 | Eric Lu | 3486 | 1/1 | Testing the RL solution | -0. | 16. | 0.45 | 7.8 |