Duckietown Challenges | Home | Challenges | Submissions |
Last computed:
#1 Sampsa Ranta 18069 | #2 Sampsa Ranta 18127 | #3 András Kalapos 13505 |
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Rank (user) | User | Submission | complete | User label | Traveled distance↑ | Survival time↑ | Lateral deviation ↓ | Major infractions ↓ |
1 | Sampsa Ranta | 18069 | 1/4 | Quack²: Oh Quack Là Là | 29.76 | 60. | 2.24 | 0. |
- | Sampsa Ranta | 18127 | 1/4 | Crushed Bugs w/ S&P | 29.76 | 60. | 2.27 | 0.2 |
2 | András Kalapos 🇭🇺 | 13505 | 1/4 | real-v1.0-3091-310 | 29.76 | 60. | 2.42 | 0. |
- | Sampsa Ranta | 18131 | 1/4 | Bug Reservoir | 29.76 | 60. | 2.48 | 0. |
- | András Kalapos 🇭🇺 | 13520 | 1/4 | real-v1.0-3092-363 | 29.76 | 60. | 2.55 | 0. |
- | András Kalapos 🇭🇺 | 18169 | 1/4 | Ep. VI: Return of 3092 v1.0 | 29.76 | 60. | 2.59 | 0. |
- | András Kalapos 🇭🇺 | 13535 | 1/4 | 3090 | 27.9 | 60. | 2.15 | 0. |
- | András Kalapos 🇭🇺 | 13550 | 1/4 | real-v0.9-3092-363 | 27.9 | 60. | 2.69 | 0. |
3 | Andras Beres | 13580 | 1/4 | 202-1 | 27.9 | 60. | 4.23 | 2.4 |
- | Andras Beres | 13595 | 1/4 | fsf+il | 27.9 | 60. | 4.3 | 2.2 |
This list includes repeated entries from the same user and the entries from the organizers.
#1 Sampsa Ranta 18069 | #2 Sampsa Ranta 18127 | #3 András Kalapos 13505 |
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Rank (user) | User | Submission | complete | User label | Traveled distance↑ | Survival time↑ | Lateral deviation ↓ | Major infractions ↓ |
1 | Sampsa Ranta | 18069 | 1/4 | Quack²: Oh Quack Là Là | 29.76 | 60. | 2.24 | 0. |
- | Sampsa Ranta | 18127 | 1/4 | Crushed Bugs w/ S&P | 29.76 | 60. | 2.27 | 0.2 |
2 | András Kalapos 🇭🇺 | 13505 | 1/4 | real-v1.0-3091-310 | 29.76 | 60. | 2.42 | 0. |
- | Sampsa Ranta | 18131 | 1/4 | Bug Reservoir | 29.76 | 60. | 2.48 | 0. |
- | András Kalapos 🇭🇺 | 13520 | 1/4 | real-v1.0-3092-363 | 29.76 | 60. | 2.55 | 0. |
- | András Kalapos 🇭🇺 | 18169 | 1/4 | Ep. VI: Return of 3092 v1.0 | 29.76 | 60. | 2.59 | 0. |
- | András Kalapos 🇭🇺 | 18218 | 1/4 | Ep. VI: Return of 3092 v1.0 | 29.76 | 60. | 2.62 | 0. |
- | Sampsa Ranta | 18082 | 1/4 | Quack²: Oh Quack Là Là | 29.14 | 60. | 2.27 | 0. |
- | Sampsa Ranta | 18059 | 1/4 | Quack²: Oh Quack Là Là | 28.52 | 60. | 1.82 | 0. |
- | Sampsa Ranta | 18024 | 1/4 | Quack²: Oh Quack Là Là | 28.52 | 60. | 1.9 | 0. |
- | Sampsa Ranta | 18053 | 1/4 | Quack²: Oh Quack Là Là | 27.9 | 60. | 1.84 | 0. |
- | András Kalapos 🇭🇺 | 13535 | 1/4 | 3090 | 27.9 | 60. | 2.15 | 0. |
- | András Kalapos 🇭🇺 | 13550 | 1/4 | real-v0.9-3092-363 | 27.9 | 60. | 2.69 | 0. |
3 | Andras Beres | 13580 | 1/4 | 202-1 | 27.9 | 60. | 4.23 | 2.4 |
- | Andras Beres | 13595 | 1/4 | fsf+il | 27.9 | 60. | 4.3 | 2.2 |
- | Andras Beres | 18063 | 1/4 | Imitation-Skip2 | 27.9 | 60. | 4.4 | 2.2 |
- | Sampsa Ranta | 17998 | 1/4 | Quack²: Oh Quack Là Là | 26.66 | 60. | 2.32 | 0. |
4 | Raphael Jean | 13611 | 1/4 | mobile-segmentation-pedestrian | 26.04 | 60. | 2.71 | 0.8 |
- | Sampsa Ranta | 17969 | 1/4 | Quack²: Oh Quack Là Là | 26.04 | 60. | 2.77 | 0. |
5 | ETU-JBR Team | 18049 | 1/4 | LF_sor_1 | 25.42 | 60. | 4.39 | 6. |
- | ETU-JBR Team | 18055 | 1/4 | LF_sor_1 | 24.18 | 60. | 4.46 | 1.2 |
6 | Márton Tim 🇭🇺 | 13564 | 1/4 | 3626 | 23.56 | 52. | 2.8 | 1.6 |
- | Sampsa Ranta | 18072 | 1/4 | Quack²: Oh Quack Là Là | 23.56 | 50. | 1.86 | 1.4 |
- | ETU-JBR Team | 18267 | 1/4 | +1m iter | 22.94 | 60. | 1.71 | 0.8 |
7 | Bence Haromi | 18387 | 1/4 | 0011-0.8 | 22.94 | 60. | 3.44 | 1.4 |
- | Raphael Jean | 13626 | 1/4 | mobile-segmentation | 22.94 | 54. | 2.67 | 1.2 |
- | Bence Haromi | 18322 | 1/4 | 005-0.8 | 22.32 | 60. | 3.59 | 0.6 |
- | Bence Haromi | 18458 | 1/4 | 0013-0.8 | 22.32 | 60. | 3.7 | 1.6 |
- | Andras Beres | 18065 | 1/4 | reinforcement-physical-s2 | 22.32 | 60. | 4. | 0.8 |
- | Bence Haromi | 18395 | 1/4 | 009-0.8 | 22.32 | 60. | 4. | 1.2 |
- | Sampsa Ranta | 18046 | 1/4 | Quack²: Oh Quack Là Là | 22.32 | 48. | 1.34 | 0.6 |
- | Sampsa Ranta | 17786 | 1/4 | Quack²: Oh Quack Là Là | 21.7 | 60. | 1.36 | 0. |
- | Sampsa Ranta | 17143 | 1/4 | Quack²: Oh Quack Là Là | 21.7 | 60. | 1.5 | 0. |
- | Bence Haromi | 18318 | 1/4 | 005-0.7 | 21.08 | 60. | 2.38 | 0. |
- | Bence Haromi | 18393 | 1/4 | 009-0.7 | 21.08 | 60. | 2.42 | 0. |
- | Bence Haromi | 18389 | 1/4 | 0011-0.7 | 21.08 | 60. | 2.51 | 0. |
- | Bence Haromi | 18420 | 1/4 | 0013-0.7 | 21.08 | 60. | 2.61 | 0. |
8 | Áron Tibor Tóth | 19131 | 1/4 | bme-conti | 20.46 | 60. | 2.93 | 0.2 |
- | Bence Haromi | 18277 | 1/4 | bme-dt21-1 | 19.22 | 60. | 1.82 | 0. |
- | Bence Haromi | 18415 | 1/4 | 0013-0.6 | 19.22 | 60. | 1.95 | 0. |
- | Bence Haromi | 18376 | 1/4 | 0011-0.6 | 19.22 | 60. | 2.03 | 0.2 |
- | Bence Haromi | 18307 | 1/4 | 007-0.6 | 18.6 | 60. | 1.65 | 0. |
- | Bence Haromi | 18391 | 1/4 | 009-0.6 | 18.6 | 60. | 2.06 | 0. |
- | András Kalapos 🇭🇺 | 18186 | 1/4 | Ep. VI: Return of 3092 v0.6 | 18.6 | 60. | 2.57 | 0. |
- | ETU-JBR Team | 18399 | 1/4 | finalist 2021 | 17.98 | 60. | 1.86 | 2.2 |
- | Andras Beres | 18234 | 1/4 | imitation-s1-06 | 17.98 | 60. | 2.32 | 0. |
9 | YU CHEN | 13911 | 1/4 | CBC Net v2 - test | 17.98 | 60. | 3.79 | 10.4 |
- | Bence Haromi | 18316 | 1/4 | 005-0.6 | 17.98 | 58. | 2.03 | 0.6 |
- | Bence Haromi | 18304 | 1/4 | 007-0.7 | 17.36 | 52. | 1.51 | 1.2 |
10 | Jean-Sébastien Grondin 🇨🇦 | 13641 | 1/4 | exercise_ros_template | 17.36 | 44. | 2.3 | 1.8 |
- | Áron Tibor Tóth | 19119 | 1/4 | bme-conti | 16.74 | 60. | 1.29 | 0. |
- | Áron Tibor Tóth | 18513 | 1/4 | bme-conti | 16.74 | 60. | 2.09 | 0. |
- | Bence Haromi | 18385 | 1/4 | 0011-0.9 | 16.74 | 54. | 3.17 | 11.4 |
- | Bence Haromi | 18310 | 1/4 | 007-0.5 | 16.12 | 60. | 1.64 | 0. |
- | Bence Haromi | 18283 | 1/4 | bme-real-tested | 16.12 | 60. | 1.69 | 0. |
- | Áron Tibor Tóth | 18516 | 1/4 | bme-conti | 16.12 | 60. | 1.88 | 0. |
- | Bence Haromi | 18486 | 1/4 | 0013-0.9 | 16.12 | 54. | 2.97 | 13. |
- | Bence Haromi | 18313 | 1/4 | 005-0.5 | 15.5 | 60. | 2.28 | 0.6 |
- | András Kalapos 🇭🇺 | 18547 | 1/4 | It's real | 15.5 | 60. | 2.99 | 0. |
- | YU CHEN | 13945 | 1/4 | CBC Net v2 test - added APR 1 2 times anomaly + mar 28 bc_v1 | 15.5 | 56. | 3.24 | 13. |
- | YU CHEN | 14033 | 1/4 | CBC V2, mar28_apr6 bc, mar31_apr6 anomaly | 15.5 | 54. | 3.61 | 9.6 |
- | ETU-JBR Team | 18268 | 1/4 | try full speed | 15.5 | 48. | 2.44 | 13.6 |
- | Áron Tibor Tóth | 18507 | 1/4 | bme-conti | 14.88 | 60. | 1.5 | 0. |
- | Áron Tibor Tóth | 18504 | 1/4 | bme-conti | 14.26 | 60. | 1.1 | 0. |
- | YU CHEN | 13943 | 1/4 | CBC Net v2 test - added mar 31 anomaly + mar 28 bc_v1 | 13.64 | 60. | 2.75 | 26.4 |
11 | David Bardos | 18417 | 1/4 | David-Bardos | 13.64 | 60. | 3.87 | 4.8 |
- | Bence Haromi | 18406 | 1/4 | 009-0.9 | 13.64 | 46. | 2.51 | 11.4 |
- | Sampsa Ranta | 17092 | 1/4 | Quack²: Oh Quack Là Là | 13.02 | 60. | 0.83 | 0. |
- | YU CHEN | 13938 | 1/4 | CBC Net v2 test - added mar 31 dataset | 13.02 | 60. | 3.18 | 23.4 |
- | Frank (Chude) Qian 🇨🇦 | 13995 | 1/4 | baseline-behavior-cloning | 13.02 | 60. | 3.23 | 5.6 |
- | YU CHEN | 13964 | 1/4 | CBC Net v2 test - APR 3 BC TFdata + mar 28 anomaly | 13.02 | 56. | 2.95 | 21.2 |
- | Sampsa Ranta | 18543 | 1/4 | Quack² - To Quack Or Not | 12.4 | 60. | 1.76 | 0. |
- | Sampsa Ranta | 18558 | 1/4 | Quack² - 3-2-1 Go Real | 12.4 | 60. | 1.78 | 0. |
- | Sampsa Ranta | 18370 | 1/4 | Quack² - Interesting | 12.4 | 60. | 1.99 | 0. |
- | Sampsa Ranta | 18555 | 1/4 | Quack² - 0.3 Panda | 12.4 | 60. | 2.01 | 0. |
12 | OLA V | 18109 | 1/4 | dagger-speed-up-correction | 12.4 | 60. | 2.05 | 0.4 |
- | Sampsa Ranta | 18535 | 1/4 | Quack² - Any Crumbs? | 12.4 | 60. | 2.14 | 0. |
- | OLA V | 18397 | 1/4 | dagger-omega-ninty-gain2 | 12.4 | 60. | 2.69 | 1. |
- | OLA V | 18519 | 1/4 | dagger-omega-ninty-gain-vel | 12.4 | 60. | 2.76 | 0. |
13 | Adrian Brucker | 18021 | 1/4 | baseline-dagger-pytorch | 12.4 | 60. | 2.9 | 0.6 |
- | David Bardos | 18400 | 1/4 | David-Bardos | 12.4 | 60. | 3.56 | 12.4 |
- | Áron Tibor Tóth | 19120 | 1/4 | bme-conti | 12.4 | 60. | 3.62 | 3. |
14 | Keyan Pishdadian | 15654 | 1/4 | baseline-behavior-cloning | 12.4 | 58. | 3.02 | 5.8 |
- | YU CHEN | 14031 | 1/4 | CBC V2, mar28 bc, mar31_apr6 anomaly | 12.4 | 48. | 2.38 | 16.8 |
- | Keyan Pishdadian | 15693 | 1/4 | v1_lin-div1p5_ang-mul1p8_200epochs-datasetA | 11.78 | 60. | 3.01 | 2.4 |
15 | Dmytro Humeniuk | 18598 | 1/4 | baseline-dagger-pytorch | 11.78 | 60. | 3.4 | 1.2 |
- | YU CHEN | 13940 | 1/4 | CBC Net v2 test - added mar 31 anomaly + mar 28 bc | 11.78 | 56. | 2.47 | 23.4 |
- | ETU-JBR Team | 18048 | 1/4 | test_tmp_sim | 11.78 | 50. | 2.43 | 3.8 |
- | YU CHEN | 14013 | 1/4 | CBC Net v2 test - APR 6 anomaly + mar 28 bc | 11.16 | 50. | 2.25 | 20.6 |
- | Áron Tibor Tóth | 19121 | 1/4 | bme-conti | 11.16 | 40. | 2.03 | 9. |
- | Sampsa Ranta | 18548 | 1/4 | Quack² - To Quack Or Not | 10.54 | 60. | 1.78 | 0. |
16 | Valliappan CA | 18147 | 1/4 | dagger-with-maps | 10.54 | 60. | 3.39 | 3.8 |
- | Keyan Pishdadian | 15655 | 1/4 | modelv1-behavior-cloning | 10.54 | 50. | 2.51 | 6.2 |
- | YU CHEN | 14035 | 1/4 | CBC V2 non dropout comparsion, mar28_apr6 bc, mar31_apr6 anomaly | 10.54 | 46. | 2.72 | 14. |
- | OLA V | 18041 | 1/4 | baseline-dagger-pytorch | 9.92 | 60. | 2.81 | 0.8 |
- | Valliappan CA | 18095 | 1/4 | dagger-with-maps | 9.92 | 60. | 2.96 | 1.2 |
17 | Bea Baselines 🐤 | 17496 | 1/4 | baseline-dagger-pytorch | 9.92 | 60. | 3.04 | 1.4 |
- | Keyan Pishdadian | 15692 | 1/4 | v1_lin-div2_ang-mul1p5_200epochs-datasetA | 9.3 | 60. | 2.58 | 0. |
- | Frank (Chude) Qian 🇨🇦 | 13993 | 1/4 | CBC Net - MixTraining - Expert LF Human LFP - Best Loss | 9.3 | 36. | 1.79 | 12.4 |
- | Keyan Pishdadian | 15685 | 1/4 | v0_lin-div2_ang-mul1p5_200epochs-datasetA | 8.68 | 60. | 2.1 | 0. |
- | Frank (Chude) Qian 🇨🇦 | 13991 | 1/4 | CBC Net - MixTraining - Expert LF Human LFP | 8.68 | 34. | 1.49 | 14.6 |
- | Bence Haromi | 18324 | 1/4 | 005-0.9 | 8.68 | 30. | 1.7 | 6.8 |
- | Keyan Pishdadian | 15683 | 1/4 | nvidia_lin-div2_ang-mul1p5-datasetA | 8.06 | 60. | 3.21 | 0.6 |
- | Keyan Pishdadian | 15660 | 1/4 | modelv1-behavior-cloning-lin_div_2-ang_mul_1p5 | 8.06 | 60. | 3.32 | 0.6 |
18 | Pierre-Luc Parent | 18077 | 1/4 | baseline-behavior-cloning | 8.06 | 46. | 1.88 | 10.6 |
- | ETU-JBR Team | 18027 | 1/4 | test_tmp_sim | 7.44 | 60. | 2.77 | 23.4 |
- | YU CHEN | 13909 | 1/4 | CBC Net v2 - test | 7.44 | 32. | 1.4 | 14. |
- | Andrea Censi 🇨🇭 | 13981 | 1/4 | exercise_ros_template | 6.82 | 60. | 4.64 | 10.6 |
- | YU CHEN | 13732 | 1/4 | BC Net V2 | 6.82 | 30. | 1.77 | 9.6 |
- | David Bardos | 18403 | 1/4 | David-Bardos | 6.82 | 30. | 2. | 6. |
- | Bence Haromi | 18301 | 1/4 | 007-0.8 | 6.82 | 28. | 1.08 | 6.6 |
- | Sampsa Ranta | 18360 | 1/4 | Quack² - Hello World | 6.2 | 60. | 1.4 | 0. |
- | Sampsa Ranta | 18361 | 1/4 | Quack² - Thanks for All the Fish | 6.2 | 60. | 1.46 | 0. |
- | Sampsa Ranta | 18339 | 1/4 | Quack² - Hello World | 6.2 | 60. | 1.67 | 0. |
- | Sampsa Ranta | 18332 | 1/4 | Quack² - Hello World | 6.2 | 60. | 2.05 | 0. |
- | Sampsa Ranta | 18331 | 1/4 | Quack² - Hello World | 6.2 | 60. | 2.41 | 0. |
- | Sampsa Ranta | 18264 | 1/4 | Quack² - For Real | 6.2 | 60. | 2.93 | 3.4 |
- | Sampsa Ranta | 18330 | 1/4 | Quack² - Hello World | 6.2 | 60. | 3.08 | 0. |
19 | Giulio Vaccari | 17988 | 1/4 | poliduckie-test2 | 6.2 | 60. | 3.48 | 17.2 |
20 | Francesco Paolo Buccheri | 15156 | 1/4 | baseline-duckietown | 6.2 | 60. | 3.8 | 8. |
- | Andrea Daniele 🇮🇹 | 13734 | 1/4 | baseline-duckietown | 5.58 | 60. | 3.42 | 12.8 |
- | Jacopo Tani | 14108 | 1/4 | exercise_ros_template | 5.58 | 60. | 4.31 | 12.4 |
- | ETU-JBR Team | 18040 | 1/4 | test_tmp_sim | 5.58 | 56. | 2.36 | 32. |
- | Keyan Pishdadian | 15694 | 1/4 | baseline-behavior-cloning_lin-div2_ang-mul1p5 | 5.58 | 50. | 2.39 | 5.6 |
21 | Anthony Courchesne 🇨🇦 | 13686 | 1/4 | Real100FH | 5.58 | 38. | 2.35 | 10.6 |
- | Bence Haromi | 18326 | 1/4 | 005-1.0 | 5.58 | 20. | 1.08 | 7. |
22 | Ashley Reid | 13961 | 1/4 | baseline-duckietown | 4.96 | 60. | 2.68 | 15.8 |
23 | Shengjie Hu 🇨🇭 | 15634 | 1/4 | baseline-duckietown-ml | 4.96 | 60. | 2.89 | 5. |
24 | Caleb BG 🇺🇸 | 13691 | 1/4 | baseline-duckietown | 4.96 | 52. | 3.33 | 8.2 |
- | Jacopo Tani | 14006 | 1/4 | exercise_ros_template | 4.96 | 48. | 3.11 | 11.4 |
- | ETU-JBR Team | 18026 | 1/4 | test_tmp_sim | 4.96 | 40. | 1.94 | 15.2 |
- | YU CHEN | 13730 | 1/4 | BC Net V2 | 4.96 | 22. | 1.08 | 7.2 |
- | Liam Paull 🇨🇦 | 15598 | 1/4 | baseline-duckietown-ml | 4.34 | 60. | 2.57 | 11.8 |
25 | Abolfazl Lavaei | 17127 | 1/4 | baseline-duckietown | 4.34 | 54. | 3.3 | 11.2 |
- | ETU-JBR Team | 18044 | 1/4 | test_tmp_sim | 4.34 | 50. | 2.23 | 31.8 |
26 | sunhwi kim | 13753 | 1/4 | baseline-duckietown | 4.34 | 50. | 3. | 7.4 |
27 | Santino Prinzivalli | 15150 | 1/4 | baseline-duckietown | 4.34 | 44. | 2.97 | 8.8 |
- | Keyan Pishdadian | 15684 | 1/4 | v0-200epochs-datasetA | 4.34 | 24. | 0.96 | 8. |
- | Giulio Vaccari | 18000 | 1/4 | poliduckie-sub1 | 3.72 | 60. | 2.81 | 23. |
- | Giulio Vaccari | 18091 | 1/4 | poliduckie-sub2_toma | 3.72 | 60. | 3.23 | 24.8 |
- | Bea Baselines 🐤 | 17605 | 1/4 | baseline-duckietown | 3.72 | 46. | 3.01 | 11.6 |
28 | Mattia Calderone | 15152 | 1/4 | baseline-duckietown | 3.72 | 42. | 1.92 | 12.2 |
- | Keyan Pishdadian | 15666 | 1/4 | modelv0-behavior-cloning-200epochs | 3.72 | 22. | 0.85 | 7.6 |
- | ETU-JBR Team | 18107 | 1/4 | +1m iter | 3.72 | 22. | 1.01 | 6.4 |
- | Dmytro Humeniuk | 18617 | 1/4 | baseline-dagger-pytorch | 3.1 | 22. | 0.94 | 6.8 |
- | Keyan Pishdadian | 15687 | 1/4 | v1-200epochs-datasetA | 3.1 | 16. | 0.76 | 3.8 |
- | David Bardos | 18409 | 1/4 | David-Bardos | 2.48 | 34. | 0.84 | 23.8 |
- | Keyan Pishdadian | 15691 | 1/4 | nvidia_ang-mul1p5-datasetA | 2.48 | 14. | 0.53 | 4. |
- | Bea Baselines 🐤 | 17587 | 1/4 | template-pytorch | 1.86 | 54. | 1.7 | 28.8 |
- | Keyan Pishdadian | 15653 | 1/4 | modelv0-behavior-cloning | 1.86 | 16. | 0.5 | 9. |
- | Keyan Pishdadian | 15656 | 1/4 | nvidia-behavior-cloning | 1.86 | 14. | 0.58 | 5.6 |
- | Keyan Pishdadian | 15682 | 1/4 | nvidia-datasetA | 1.86 | 12. | 0.35 | 4.8 |
29 | Samuel Alexander | 13697 | 1/4 | template-pytorch | 1.24 | 44. | 1.06 | 29.4 |
- | Giulio Vaccari | 18112 | 1/4 | poliduckie-sub3_toma | 1.24 | 42. | 1.7 | 18.2 |
30 | Katica Bozsó | 17270 | 1/4 | template-pytorch | 1.24 | 34. | 1.09 | 16.6 |
- | Samuel Alexander | 13692 | 1/4 | template-pytorch | 1.24 | 32. | 1.06 | 20.4 |
- | ETU-JBR Team | 18045 | 1/4 | test_tmp_sim | 1.24 | 30. | 0.68 | 24.4 |
- | Giulio Vaccari | 18537 | 1/4 | poliduckie-final | 1.24 | 28. | 1.19 | 12.6 |
- | David Bardos | 18413 | 1/4 | David-Bardos | 1.24 | 24. | 0.19 | 21. |
- | Keyan Pishdadian | 15689 | 1/4 | v1_lin-div2_ang-mul1p5_200epochs-datasetB-fine-tuned | 1.24 | 10. | 0.33 | 4.4 |
- | ETU-JBR Team | 17995 | 1/4 | test_tmp_sim | 1.24 | 6. | 0.09 | 3.4 |
- | Andrea Censi 🇨🇭 | 15586 | 1/4 | exercise_ros_template | 0.62 | 60. | 0.9 | 0. |
- | Andrea Censi 🇨🇭 | 15585 | 1/4 | exercise_ros_template | 0.62 | 60. | 0.9 | 0. |
31 | Vincenzo Polizzi 🇮🇹 | 14223 | 1/4 | template-ros | 0.62 | 60. | 0.9 | 0. |
- | Vincenzo Polizzi 🇮🇹 | 14222 | 1/4 | template-ros | 0.62 | 60. | 0.9 | 0. |
- | Giulio Vaccari | 18114 | 1/4 | poliduckie-sub1_gabriel | 0.62 | 60. | 1.25 | 49.8 |
32 | Alim W.H. Prayuda | 18975 | 1/4 | exercises_braitenberg | 0.62 | 52. | 0.42 | 46.2 |
- | Bea Baselines 🐤 | 17657 | 1/4 | template-random | 0.62 | 38. | 0.83 | 28.2 |
33 | Valentina Golubeva | 17345 | 1/4 | template-pytorch | 0.62 | 32. | 0.58 | 24.6 |
34 | Dailin Hu | 17798 | 1/4 | template-pytorch | 0.62 | 32. | 0.99 | 17. |
35 | Awni Altabaa | 15641 | 1/4 | exercises_braitenberg | 0.62 | 24. | 0.41 | 17.2 |
- | Jacopo Tani | 13986 | 1/4 | exercise_ros_template | 0.62 | 24. | 0.43 | 17.8 |
- | Liam Paull 🇨🇦 | 13983 | 1/4 | exercise_ros_template | 0.62 | 24. | 0.43 | 17.8 |
36 | Diego Charrez 🇵🇪 | 17306 | 1/4 | template-pytorch | 0.62 | 18. | 0.6 | 10.2 |
- | Andrea Daniele 🇮🇹 | 17767 | 1/4 | template-ros | 0.62 | 10. | 0.14 | 6.8 |
- | Bea Baselines 🐤 | 17569 | 1/4 | template-ros | 0.62 | 10. | 0.15 | 6.2 |
37 | SERGEY GLAZUNOV | 17332 | 1/4 | template-pytorch | 0.62 | 10. | 0.15 | 6.6 |
- | sunhwi kim | 13748 | 1/4 | template-ros | 0.62 | 10. | 0.15 | 6.6 |
- | Bea Baselines 🐤 | 14808 | 1/4 | straight | 0.62 | 10. | 0.16 | 6.8 |
- | Andrea Censi 🇨🇭 | 14676 | 1/4 | straight | 0.62 | 10. | 0.16 | 6.8 |
- | Bea Baselines 🐤 | 17675 | 1/4 | minimal-agent | 0.62 | 10. | 0.16 | 7.2 |
- | Francesco Paolo Buccheri | 15134 | 1/4 | template-ros | 0.62 | 10. | 0.17 | 6. |
- | Vincenzo Polizzi 🇮🇹 | 14225 | 1/4 | template-ros | 0.62 | 10. | 0.18 | 6.8 |
- | Samuel Alexander | 13693 | 1/4 | template-ros | 0.62 | 10. | 0.24 | 7. |
- | Santino Prinzivalli | 15132 | 1/4 | template-ros | 0.62 | 8. | 0.16 | 5.6 |
- | Keyan Pishdadian | 15686 | 1/4 | v0_lin-div2_ang-mul1p5_200epochs-datasetB-fine-tuned | 0.62 | 8. | 0.19 | 4.8 |
38 | Adriano Almeida | 15558 | 1/4 | template-random | 0.62 | 6. | 0.07 | 3.2 |
- | Mattia Calderone | 15091 | 1/4 | template-random | 0.62 | 6. | 0.07 | 3.2 |
- | Francesco Paolo Buccheri | 15087 | 1/4 | template-random | 0.62 | 6. | 0.07 | 3.2 |
- | Santino Prinzivalli | 15085 | 1/4 | template-random | 0.62 | 6. | 0.07 | 3.2 |
39 | Kevin Huang | 13689 | 1/4 | template-random | 0.62 | 6. | 0.07 | 3.2 |
40 | David Broderick | 13688 | 1/4 | template-random | 0.62 | 6. | 0.07 | 3.2 |
- | Samuel Alexander | 13685 | 1/4 | template-random | 0.62 | 6. | 0.07 | 3.2 |
41 | Oliver Brinkmann | 15470 | 1/4 | template-random | 0.62 | 6. | 0.07 | 3.6 |
- | Diego Charrez 🇵🇪 | 13762 | 1/4 | template-random | 0.62 | 6. | 0.07 | 3.6 |
- | sunhwi kim | 13747 | 1/4 | template-random | 0.62 | 6. | 0.07 | 3.6 |
- | Samuel Alexander | 13694 | 1/4 | template-tensorflow | 0.62 | 6. | 0.07 | 4.2 |
- | Mattia Calderone | 15133 | 1/4 | template-ros | 0.62 | 6. | 0.08 | 4.4 |
- | Andrea Censi 🇨🇭 | 13979 | 1/4 | exercise_ros_template | 0.62 | 6. | 0.09 | 3.6 |
- | Samuel Alexander | 13696 | 1/4 | template-tensorflow | 0.62 | 6. | 0.09 | 4. |
- | Keyan Pishdadian | 15690 | 1/4 | v1_ang-mul1p5_200epochs-datasetB-fine-tuned | 0.62 | 4. | 0.06 | 2.6 |
- | Anthony Courchesne 🇨🇦 | 13725 | 1/4 | straight | 0.62 | 4. | 0.06 | 2.6 |
- | Frank (Chude) Qian 🇨🇦 | 13997 | 1/4 | baseline-behavior-cloning New Dataset | 0.62 | 4. | 0.06 | 2.8 |
- | Diego Charrez 🇵🇪 | 17849 | 1/4 | baseline-RL-sim-pytorch | -2.48 | 60. | 3.07 | 25.4 |
- | Valentina Golubeva | 17800 | 1/4 | baseline-RL-sim-pytorch | -3.1 | 60. | 2.87 | 25.4 |
- | Dailin Hu | 17929 | 1/4 | baseline-RL-sim-pytorch | -3.1 | 60. | 3.03 | 22.6 |
- | Bea Baselines 🐤 | 17523 | 1/4 | baseline-RL-sim-pytorch | -3.1 | 60. | 3.1 | 24. |