With the help 600+ space organizations, Mars has been terraformed successfully. Colonies have been established successfully by multiple space organizations thanks to the rapidly growing lichen fields on the planet. The introduction of an atmosphere has enabled colonists to start thinking about the future, beyond Mars. Mysteriously, new deep-space telescopes launched from Mars revealed some ancient architectures floating beyond the solar system, hidden in a midst of asteroids and nebula gas. Perhaps they were relics of a previous sentient species?
Seeking to learn more about the secrets of the universe, new expeditions of ships were set out into deep space to explore these ancient relics and study them. What will they discover, which expedition will be remembered for the rest of history for unlocking the secrets of the relics?
The Lux AI Challenge is a competition where competitors design agents to tackle a multi-variable optimization, resource gathering, and allocation problem in a 1v1 scenario against other competitors. In addition to optimization, successful agents must be capable of analyzing their opponents and developing appropriate policies to get the upper hand.
All code can be found at our Github, make sure to give it a star while you are there!
Make sure to join our community discord to chat, strategize, and learn with other competitors! We will be posting announcements on the Kaggle Forums and on the discord.
Each day your team is able to submit up to 5 agents (bots) to the competition. Each submission will play Episodes (games) against other bots on the ladder that have a similar skill rating. Over time skill ratings will go up with wins or down with losses and evened out with ties.
Every bot submitted will continue to play episodes until the end of the competition, with newer bots playing a much more frequent number of episodes. On the leaderboard only your best scoring bot will be shown, but you can track the progress of all of your submissions on your Submissions page.
Each Submission has an estimated Skill Rating which is modeled by a Gaussian N(μ,σ2) where μ is the estimated skill and σ represents the uncertainty of that estimate which will decrease over time.
When you upload a Submission, we first play a Validation Episode where that Submission plays against copies of itself to make sure it works properly. If the Episode fails, the Submission is marked as Error and you can download the agent logs to help figure out why. Otherwise, we initialize the Submission with μ0=600 and it joins the pool of All Submissions for ongoing evaluation.
We repeatedly run Episodes from the pool of All Submissions, and try to pick Submissions with similar ratings for fair matches. Newly submitted agents will be given an increased rate in the number of episodes run to give you faster feedback.
Ranking System
After an Episode finishes, we’ll update the Rating estimate for all Submissions in that Episode. If one Submission won, we’ll increase its μ and decrease its opponent’s μ — if the result was a draw, then we’ll move the two μ values closer towards their mean. The updates will have magnitude relative to the deviation from the expected result based on the previous μ values, and also relative to each Submission’s uncertainty σ. We also reduce the σ terms relative to the amount of information gained by the result. The score by which your bot wins or loses an Episode does not affect the skill rating updates.
Awards:-
Monetary prizes are distributed to the top 8 competitors on the leaderboard at the end of the competition
- 1st Place: $10,000
- 2nd Place: $8,000
- 3rd Place: $7,000
- 4th-8th Place: $5,000
Sprint Prizes
At the end of each month of active competition*, the top 2 on the leaderboard will receive the Lux AI Challenge Sprint award for developing strong bots early on! This award can only be won once per team and if a team in the top 2 has already won the Sprint award, it will be given to the next highest ranking team who has not won the award. All teams are automatically entered into this competition.
In addition to the Sprint Award, teams will also be awarded competition t-shirts from competition organizers.
To pick the top 2 on the leaderboard, we will check the state of the leaderboard at 11:59PM UTC on the last day of each month.
Deadline:- 03-03-2025
