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10.16 Pull Version #112

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ZQ2413262560
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@JacopoPan Hi Jacopo!
Code runs using commands:
cd competition/
python3 getting_started.py --overrides level0.yaml
It takes about 7-8 hours to train on my machine (1 RTX3090).

Time is limited, and some ideas are too late to put into practice. If there is a chance, I will continue to try this task!
I would like to thank the organizers for this opportunity, Thank you!

ZQ2413262560 and others added 30 commits September 20, 2022 11:40
Clarification about the obstacles positions in README.md
@JacopoPan JacopoPan added the competition IROS 2022 Safe Robot Learning competition label Oct 17, 2022
@JacopoPan
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@ZQ2413262560 could you please provide me the basic info of your team:
participants names, affiliation, level of education (BSc, MSc, PhD), team name, contact email

@utiasDSLadmin
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Note, requires

conda install opencv

@ZQ2413262560
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@ZQ2413262560 could you please provide me the basic info of your team: participants names, affiliation, level of education (BSc, MSc, PhD), team name, contact email
participants names: Qin Zhang, Linrui Zhang,Haoyu Wang,Zichen Yan, Shoujie Li,Xueqian Wang,Li Shen.
affiliation: Tsinghua University, Beijing, China. JD ExploreAcademy, Beijing, China.
level of education: MSc
Team Name: AIRobotLab
contact email: zhangqin21@mails.tsinghua.edu.cn

Our team is the same as the one registered using zhanglr.auto@gmail.com before. Please refer to the current information. Thank you!

@JacopoPan
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@ZQ2413262560 I now launched the scripts that will collect the simulation results for all submissions: the 7-8 hours you mentioned are per-level or for all 4 levels (level0.yaml to level3.yaml) combined? In case time didn't allow to run and score all submissions by Sunday, do you have code to run single-episodes run from trained models?

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@JacopoPan The code I've submitted now is the code for testing.
You can run it directly with the codepython3 getting_start.py --overrides./levelx.yaml, but you may need to change the level0.yaml to level3.yaml configuration file because in our setting we set the done_on_violation and done_on_collision to False

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4 participants