Jack Monas commited on
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1 Parent(s): 0291335
Files changed (1) hide show
  1. app.py +21 -53
app.py CHANGED
@@ -34,60 +34,28 @@ def main():
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  st.write(
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  "The Evaluation Challenge tackles the ultimate question: Can you predict a robot's performance in the real world without physically deploying it? In this challenge, you will be provided with many different policies for a specific task. Your task is to rank these policies according to their expected real-world performance. This ranking will be compared with the actual ranking of the policies."
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  )
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-
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-
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- st.markdown("### Datasets")
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- st.write(
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-
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- )
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-
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- st.markdown("### Scoring")
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- st.write(
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- "Our scoring system rewards strong performance across all challenges, with extra weight given to the Evaluation Challenge. "
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- "The breakdown is as follows:\n\n"
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- "**Compression Challenge**\n"
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- "- 1st Place: 10 points\n"
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- "- 2nd Place: 7 points\n"
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- "- 3rd Place: 5 points\n\n"
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- "**Sampling Challenge**\n"
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- "- 1st Place: 10 points\n"
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- "- 2nd Place: 7 points\n"
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- "- 3rd Place: 5 points\n\n"
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- "**Evaluation Challenge**\n"
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- "- 1st Place: 20 points\n"
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- "- 2nd Place: 14 points\n"
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- "- 3rd Place: 10 points\n\n"
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- "The overall winner will be the team with the highest total points. In the event of a tie, the following tie-breakers will be applied in order:\n\n"
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- "1. Highest Evaluation Challenge score\n"
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- "2. Highest Sampling Challenge score\n\n"
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- )
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-
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- st.markdown("### Rules")
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- st.write(
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- "We recognize that many submissions may not progress through all three challenges. To account for this, we have implemented a points-based system. "
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- "Points will be allocated based on placements in the Compression, Sampling, and Evaluation challenges. The overall winner is determined by the total points earned. "
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- "Detailed rules, including point weightings and submission guidelines, will be provided. All participants are expected to adhere to our code of conduct."
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- )
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-
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- st.markdown("### Already Started Working on These Challenges?")
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- st.write(
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- "If you've already begun work on any of the challenges, we encourage you to share your progress with the community. "
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- "Connect with other participants via our Discord channel or GitHub repository to exchange ideas, get feedback, and collaborate."
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- )
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- st.markdown("### FAQs")
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- st.write(
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- "**Do I have to do every task?** \n"
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- "No. You may choose to participate in one or more of the challenges. However, participating in multiple challenges could help you earn more points and improve your overall ranking.\n\n"
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- "**Can I work in a team?** \n"
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- "Yes, team submissions are welcome.\n\n"
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- "**What are the submission deadlines?** \n"
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- "Deadlines for each challenge will be announced on the website and through our official communications.\n\n"
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- "**Where can I find more information?** \n"
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- "Detailed guidelines, additional resources, and further FAQs are available on our website.\n\n"
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- "**Who do I contact if I have questions?** \n"
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- "Please reach out to our support team via the provided email or join our Discord community for assistance."
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- )
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  if __name__ == '__main__':
 
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  st.write(
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  "The Evaluation Challenge tackles the ultimate question: Can you predict a robot's performance in the real world without physically deploying it? In this challenge, you will be provided with many different policies for a specific task. Your task is to rank these policies according to their expected real-world performance. This ranking will be compared with the actual ranking of the policies."
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  )
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+
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+ st.markdown("### Scoring")
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+ st.write(
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+ "Our scoring system rewards strong performance across all challenges, with extra weight given to the Evaluation Challenge. "
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+ "The breakdown is as follows:\n\n"
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+ "**Compression Challenge**\n"
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+ "- 1st Place: 10 points\n"
44
+ "- 2nd Place: 7 points\n"
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+ "- 3rd Place: 5 points\n\n"
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+ "**Sampling Challenge**\n"
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+ "- 1st Place: 10 points\n"
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+ "- 2nd Place: 7 points\n"
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+ "- 3rd Place: 5 points\n\n"
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+ "**Evaluation Challenge**\n"
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+ "- 1st Place: 20 points\n"
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+ "- 2nd Place: 14 points\n"
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+ "- 3rd Place: 10 points\n\n"
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+ "The overall winner will be the team with the highest total points. In the event of a tie, the following tie-breakers will be applied in order:\n\n"
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+ "1. Highest Evaluation Challenge score\n"
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+ "2. Highest Sampling Challenge score\n\n"
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+ )
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  if __name__ == '__main__':