Duration
Mar 25 - Jun 23
Team Size
1-5
Entry Fee
Free
Eligibility
Global
Competition signal
1 participants
Decision window
Submission window closes on Tuesday, June 23, 2026.
Last verified
Wednesday, March 25, 2026
About This Competition
Multi Agent Reinforcement Learning on Trains.
Why This Competition Matters
Flatland Challenge is positioned around ai research, machine learning, benchmarking, which makes it useful for building visible proof that you can ship under constraints. The combination of 1-5, Free, and Prizes TBD in rewards makes it a strong fit for learners who want both portfolio value and competitive pressure.
Best Fit For
- Builders who want hands-on exposure to ai research, machine learning, benchmarking.
- Teams or solo operators comfortable with Machine Learning, Problem Solving, Data Analysis.
- Free-entry competitors looking for portfolio-grade proof of work.
Prizes
1
Awards Place
TBD
See the official competition page for the latest prize breakdown.
Required Skills
Machine Learning
Problem Solving
Data Analysis
Topics
AI Research
Machine Learning
Benchmarking
AI Agents
AICrowd
AI Research
Machine Learning
Benchmarking
AI Agents
How To Approach It
Review the official rules and scoring on AICrowd before you build.
Choose a narrow angle inside ai research, machine learning, benchmarking so your submission is easier to demo and judge.
Set up a fast prototype stack with your preferred AI stack.
Reserve time for polish: README, demo flow, screenshots, and final submission QA.
Learn, then compete
Relevant Courses To Take First
Build the exact skills this competition rewards, then use the challenge as your proof of work.
Ready to Compete?
90 days remaining. Don't miss your chance!
