Submission | | Competing | User | Date submitted | Last status update | Complete | Details | Sisters | Result | Jobs | Next | User label | Admin priority | Blessing | User priority |
3522 | | yes | Bea BaselinesΒ π€ | | | complete | Evaluation is complete. | | π | step1-simulation: 23297 | | challenge-aido_LF-baseline-duckietown | 60 | n/a | 60 | | |
3756 | | yes | Julian Zilly | | | complete | Evaluation is complete. | | π | step1-simulation: 23753 | | Baseline-IL-logs-tensorflow | 50 | n/a | 50 | | |
3746 | | yes | sebastian glatz | | | complete | Evaluation is complete. | | π | step1-simulation: 23745 | | - | 50 | n/a | 50 | | |
3738 | | yes | jiang peng | | | complete | Evaluation is complete. | | π | step1-simulation: 23713 | | LF sim test - wh | 50 | n/a | 50 | | |
3733 | | yes | jiang peng | | | complete | Evaluation is complete. | | π | step1-simulation: 23708 | | Second test -RGB- TH-jp | 50 | n/a | 50 | | |
3729 | | yes | jiang peng | | | complete | Evaluation is complete. | | π | step1-simulation: 23694 | | LF sim test - wh | 50 | n/a | 50 | | |
3724 | | yes | jiang peng | | | complete | Evaluation is complete. | | π | step1-simulation: 23685 | | Second test -RGB- TH-jp | 50 | n/a | 50 | | |
3717 | | yes | jiang peng | | | complete | Evaluation is complete. | | π | step1-simulation: 23675 | | Second test -RGB- TH-jp | 50 | n/a | 50 | | |
3714 | | yes | jiang peng | | | complete | Evaluation is complete. | | π | step1-simulation: 23670 | | final test - wh | 50 | n/a | 50 | | |
3710 | | yes | Tony HsuΒ πΉπΌ | | | complete | Evaluation is complete. | | π | step1-simulation: 23620 | | Baseline solution using reinforcement learning | 50 | n/a | 50 | | |
3705 | | yes | Tony HsuΒ πΉπΌ | | | complete | Evaluation is complete. | | π | step1-simulation: 23619 | | Baseline solution using reinforcement learning | 50 | n/a | 50 | | |
3691 | | yes | Manfred Diaz | | | complete | Evaluation is complete. | | π | step1-simulation: 23592 | | challenge-aido_LF-template-tensorflow | 50 | n/a | 50 | | |
3687 | | yes | Tony HsuΒ πΉπΌ | | | complete | Evaluation is complete. | | π | step1-simulation: 23573 | | Baseline solution using reinforcement learning | 50 | n/a | 50 | | |
3679 | | yes | Tony HsuΒ πΉπΌ | | | complete | Evaluation is complete. | | π | step1-simulation: 23548 | | Baseline solution using reinforcement learning | 50 | n/a | 50 | | |
3626 | | yes | Nicky Eichmann | | | complete | Evaluation is complete. | | π | step1-simulation: 23388 | | - | 50 | n/a | 50 | | |
3606 | | yes | Riza VeliogluΒ π©πͺ | | | complete | Evaluation is complete. | | π | step1-simulation: 23362 | | - | 50 | n/a | 50 | | |
3594 | | yes | Victor Adolfo Romero CanoΒ π¨π΄ | | | complete | Evaluation is complete. | | π | step1-simulation: 23334 | | - | 50 | n/a | 50 | | |
3590 | | yes | FANG MEIYIΒ πΈπ¬ | | | complete | Evaluation is complete. | | π | step1-simulation: 23312 | | test | 50 | n/a | 50 | | |
3569 | | yes | Bhairav Mehta | | | complete | Evaluation is complete. | | π | step1-simulation: 23172 | | challenge-aido_LF-template-pytorch | 50 | n/a | 50 | | |
3560 | | yes | Bhairav Mehta | | | complete | Evaluation is complete. | | π | step1-simulation: 23159 | | Baseline solution using reinforcement learning | 50 | n/a | 50 | | |
3550 | | yes | Amaury CamusΒ π¨π | | | complete | Evaluation is complete. | | π | step1-simulation: 23070 | | Running the real lane following -- without challenge container | 50 | n/a | 50 | | |
3539 | | yes | Peter AlmasiΒ ππΊ | | | complete | Evaluation is complete. | | π | step1-simulation: 22508 | | My solution using reinforcement learning | 50 | n/a | 50 | | |
3534 | | yes | Peter AlmasiΒ ππΊ | | | complete | Evaluation is complete. | | π | step1-simulation: 22468 | | Baseline solution using reinforcement learning | 50 | n/a | 50 | | |
3525 | | yes | Nicky Eichmann | | | complete | Evaluation is complete. | | π | step1-simulation: 22401 | | Baseline solution using reinforcement learning | 50 | n/a | 50 | | |
3524 | | yes | Nicky Eichmann | | | complete | Evaluation is complete. | | π | step1-simulation: 22362 | | Baseline solution using reinforcement learning | 50 | n/a | 50 | | |