Overview
Who this competition fits
Intermediate learners who want to deepen their skills in machine learning. Good for building practical experience with real-world data.
Read the original official blurb
Build an AI Training Agent to play the Pokémon Trading Card Game
Resources
What this competition gives you
Taken from the competition's official page.
- BaselineSimulator SDK for local training, testing, debugging, and reinforcement learning.
- TutorialDocumentation for downloading episode replays via the CLI or MCP.
- DataDownloadable submission and other-team episode replay files.
- DataEnglish and Japanese card metadata, card IDs, expansion details, and reference images.
Preparation
From registration to a first submission
- 01
Python
- 02
scikit-learn or similar ML library
- 03
data analysis with pandas
Before you commit: Requires solid machine learning fundamentals and good experimental methodology.
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
- Jun 16, 2026