Tavondo
CompetitionsEventsGuidesPlatforms
中文Start matching
CompetitionsEventsGuidesPlatforms
中文Sign in
Tavondo

Find AI competitions and events worth your time.

CompetitionsEventsGuidesPlatforms
Sign inRegisterStart matching

© 2026 Tavondo

中文
  1. Home
  2. Competitions
  3. Maze Crawler
KaggleAI AgentsAdvancedRegistration closed

Maze Crawler

A advanced ai agents competition requiring roughly 25–70 hours for an end-to-end practice run.

Difficulty
Advanced
Estimated effort
25–70 hours
Registration deadline
Jun 9, 2026
Compute
CPU only
OverviewPreparationSource

Overview

Who this competition fits

Advanced practitioners with experience in general machine learning. Requires strong technical foundations and comfort with complex ML pipelines.

Read the original official blurb
Navigate an infinite scrolling maze with fog of war in this 1v1 simulation

Preparation

From registration to a first submission

  1. 01

    Python

  2. 02

    scikit-learn or similar ML library

  3. 03

    data analysis with pandas

Before you commit: Requires solid machine learning fundamentals and good experimental methodology. The competitive landscape is strong, with many experienced teams.

Source

How this page was assembled

Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.

Official competition page
Kaggle
Last checked
May 1, 2026

Entry assessment

est.
24

Prepare before joining

Overall fit estimate

Beginner fit24/100
Learning value69/100

Confirm eligibility and time commitment before moving into formal preparation.

18+ · Location rules

Open official pageSign in to saveOpen guide

Timeline

Registration opens
May 1, 2026
Registration deadline
Jun 9, 2026
Submission deadline
Jun 30, 2026
Competition ends
Jun 30, 2026

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

View data stateClose
Source page verifiedMetric confirmedReviewed
Source published
May 1, 2026
Source created
Apr 30, 2026
Published on this site
Jul 18, 2026