Duckietown Challenges | Home | Challenges | Submissions |
Last computed:
#1 jiang peng 3222 | #2 jiang peng 3396 | #3 Peter Almasi 3580 |
copy link | copy link | copy link |
Rank (user) | User | Submission | complete | User label | Traveled distance↑ | Survival time↑ | Lateral deviation ↓ | Major infractions ↓ |
1 | jiang peng | 3222 | 1/1 | First test - TH | 4.34 | 16. | 0.73 | 4.8 |
- | jiang peng | 3396 | 1/1 | RL-TH-shi | 3.72 | 16. | 0.77 | 0. |
2 | Peter Almasi 🇭🇺 | 3580 | 1/1 | My solution using reinforcement learning | 3.72 | 16. | 0.83 | 1. |
3 | FANG MEIYI 🇸🇬 | 3673 | 1/1 | test | 3.1 | 16. | 0.72 | 0. |
4 | Nicky Eichmann | 3633 | 1/1 | 1.86 | 8. | 0.29 | 3.6 | |
5 | Egor Zamotaev | 2661 | 1/1 | challenge-aido_LF-baseline-duckietown | 1.24 | 16. | 0.78 | 0.6 |
6 | Konstantin Chaika | 2699 | 1/1 | challenge-aido_LF-baseline-duckietown | 1.24 | 16. | 0.97 | 1.4 |
7 | Anastasiya Nikolskaya 🇷🇺 | 3346 | 1/1 | JetBrains Research | 1.24 | 10. | 0.58 | 0. |
8 | Angel Woo 🇭🇰 | 3103 | 1/1 | HKU Duckietown Project | 0.62 | 16. | 0.48 | 5. |
9 | Riza Velioglu 🇩🇪 | 3613 | 1/1 | 0.62 | 10. | 0.14 | 3.8 |
This list includes repeated entries from the same user and the entries from the organizers.
#1 jiang peng 3222 | #2 jiang peng 3396 | #3 Peter Almasi 3580 |
copy link | copy link | copy link |
Rank (user) | User | Submission | complete | User label | Traveled distance↑ | Survival time↑ | Lateral deviation ↓ | Major infractions ↓ |
1 | jiang peng | 3222 | 1/1 | First test - TH | 4.34 | 16. | 0.73 | 4.8 |
- | jiang peng | 3396 | 1/1 | RL-TH-shi | 3.72 | 16. | 0.77 | 0. |
2 | Peter Almasi 🇭🇺 | 3580 | 1/1 | My solution using reinforcement learning | 3.72 | 16. | 0.83 | 1. |
- | jiang peng | 3269 | 1/1 | First test - TH | 3.72 | 16. | 1.13 | 0.6 |
3 | FANG MEIYI 🇸🇬 | 3673 | 1/1 | test | 3.1 | 16. | 0.72 | 0. |
- | jiang peng | 3420 | 1/1 | RL-TH-shi | 3.1 | 16. | 0.84 | 0. |
- | jiang peng | 3421 | 1/1 | RL-TH-shi | 3.1 | 16. | 0.87 | 0.8 |
- | jiang peng | 3405 | 1/1 | RL-TH-shi | 3.1 | 16. | 0.91 | 1.4 |
- | jiang peng | 3386 | 1/1 | RL-TH-shi | 3.1 | 16. | 0.96 | 0. |
- | Julian Zilly | 2908 | 1/1 | Baseline-IL-logs-tensorflow | 1.86 | 10. | 0.52 | 0. |
4 | Nicky Eichmann | 3633 | 1/1 | 1.86 | 8. | 0.29 | 3.6 | |
- | Liam Paull 🇨🇦 | 2380 | 1/1 | minimal_agent_python2 (Python 2) | 1.86 | 6. | 0.37 | 0. |
- | Julian Zilly | 3079 | 1/1 | Baseline-IL-logs-tensorflow | 1.24 | 16. | 0.64 | 2.2 |
5 | Egor Zamotaev | 2661 | 1/1 | challenge-aido_LF-baseline-duckietown | 1.24 | 16. | 0.78 | 0.6 |
- | Julian Zilly | 3500 | 1/1 | Baseline-IL-logs-tensorflow | 1.24 | 16. | 0.94 | 0. |
6 | Konstantin Chaika | 2699 | 1/1 | challenge-aido_LF-baseline-duckietown | 1.24 | 16. | 0.97 | 1.4 |
- | Andrea Daniele 🇮🇹 | 2885 | 1/1 | minimal_agent (Python 3) | 1.24 | 12. | 0.42 | 1.8 |
- | Liam Paull 🇨🇦 | 2374 | 1/1 | minimal_agent (Python 3) | 1.24 | 12. | 0.42 | 1.8 |
- | Julian Zilly | 2982 | 1/1 | Baseline-IL-logs-tensorflow | 1.24 | 12. | 0.62 | 0.6 |
- | Julian Zilly | 3763 | 1/1 | Baseline-IL-logs-tensorflow | 1.24 | 12. | 0.62 | 1.6 |
7 | Anastasiya Nikolskaya 🇷🇺 | 3346 | 1/1 | JetBrains Research | 1.24 | 10. | 0.58 | 0. |
8 | Angel Woo 🇭🇰 | 3103 | 1/1 | HKU Duckietown Project | 0.62 | 16. | 0.48 | 5. |
- | Andrea Censi 🇨🇭 | 3063 | 1/1 | rotation | 0.62 | 16. | 0.49 | 7.8 |
9 | Riza Velioglu 🇩🇪 | 3613 | 1/1 | 0.62 | 10. | 0.14 | 3.8 | |
- | Liam Paull 🇨🇦 | 2500 | 1/1 | challenge-aido_LF-template-pytorch | 0.62 | 6. | 0.1 | 3. |
- | Julian Zilly | 2965 | 1/1 | Baseline-IL-logs-tensorflow | 0.62 | 6. | 0.21 | 2.8 |
- | Julian Zilly | 2595 | 1/1 | baseline-IL-logs-tensorflow | 0.62 | 6. | 0.36 | 0. |
10 | Rami Al-Naim 🇷🇺 | 2685 | 1/1 | challenge-aido_LF-baseline-duckietown | 0.62 | 6. | 0.36 | 0.4 |
11 | sebastian glatz | 3753 | 1/1 | 0.62 | 4. | 0.1 | 0.6 | |
12 | Victor Adolfo Romero Cano 🇨🇴 | 3601 | 1/1 | 0.62 | 4. | 0.1 | 0.6 | |
13 | Amaury Camus 🇨🇭 | 3372 | 1/1 | challenge-aido_LF-template-random | 0.62 | 4. | 0.1 | 0.6 |
- | Amaury Camus 🇨🇭 | 3221 | 1/1 | challenge-aido_LF-template-random | 0.62 | 4. | 0.1 | 0.6 |
- | Liam Paull 🇨🇦 | 2827 | 1/1 | challenge-aido_LF-template-random | 0.62 | 4. | 0.1 | 0.6 |
- | Andrea Censi 🇨🇭 | 2813 | 1/1 | challenge-aido_LF-template-random - random_agent | 0.62 | 4. | 0.1 | 0.6 |
- | Andrea Censi 🇨🇭 | 2637 | 1/1 | challenge-aido_LF-template-random | 0.62 | 4. | 0.1 | 0.6 |
- | Andrea Censi 🇨🇭 | 2625 | 1/1 | challenge-aido_LF-template-random | 0.62 | 4. | 0.1 | 0.6 |
- | Liam Paull 🇨🇦 | 2476 | 1/1 | challenge-aido_LF-template-random | 0.62 | 4. | 0.1 | 0.6 |
- | Jacopo Tani | 2444 | 1/1 | random_agent | 0.62 | 4. | 0.1 | 0.6 |
- | Andrea Censi 🇨🇭 | 2425 | 1/1 | random_agent | 0.62 | 4. | 0.1 | 0.6 |
- | Liam Paull 🇨🇦 | 2400 | 1/1 | random_agent | 0.62 | 4. | 0.1 | 0.6 |
- | Andrea Censi 🇨🇭 | 2367 | 1/1 | random_agent | 0.62 | 4. | 0.1 | 0.6 |
- | Bhairav Mehta | 2763 | 1/1 | challenge-aido_LF-template-ros - Template solution using ROS | 0.62 | 4. | 0.14 | 0.8 |
- | Konstantin Chaika | 2613 | 1/1 | challenge-aido_LF-template-ros - Template solution using ROS | 0.62 | 4. | 0.14 | 0.8 |
14 | Alexander Karavaev | 2569 | 1/1 | challenge-aido_LF-template-ros - Template solution using ROS | 0.62 | 4. | 0.14 | 0.8 |
- | Andrea Censi 🇨🇭 | 2556 | 1/1 | challenge-aido_LF-template-ros - Template solution using ROS | 0.62 | 4. | 0.14 | 0.8 |
- | Rami Al-Naim 🇷🇺 | 2712 | 1/1 | challenge-aido_LF-baseline-duckietown | 0.62 | 4. | 0.24 | 0.4 |
15 | Bea Baselines 🐤 | 3513 | 1/1 | challenge-aido_LF-template-pytorch | 0.62 | 2. | 0.1 | 0. |
- | Bhairav Mehta | 2953 | 1/1 | Baseline solution using reinforcement learning | 0.62 | 2. | 0.1 | 0.2 |
- | Andrea Censi 🇨🇭 | 2388 | 1/1 | Baseline solution using reinforcement learning | 0.62 | 2. | 0.1 | 0.2 |
- | Bhairav Mehta | 2929 | 1/1 | challenge-aido_LF-template-pytorch | 0.62 | 2. | 0.11 | 0. |
- | Manfred Diaz | 3698 | 1/1 | challenge-aido_LF-template-tensorflow | 0.62 | 2. | 0.12 | 0.2 |
- | Nicky Eichmann | 2451 | 1/1 | Baseline solution using reinforcement learning | -1.24 | 16. | 1.01 | 4.2 |