SyleKu/tetris-rl

Reinforcement Learning agent for Tetris using a custom Gymnasium environment. Includes heuristic baseline, DQN and PPO experiments.

/ 100

Experimental

No Package No Dependents

Maintenance 13 / 25

Adoption 0 / 25

Maturity 9 / 25

Community 0 / 25

Stars

—

Forks

—

Language

Python

License

MIT

Category

Last pushed

Mar 16, 2026

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/SyleKu/tetris-rl"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

Kulbear/endless-2048

[WIP] Aim to build an AI player for the 2048 game with a remarkable winning rate.

lesaun/2048-expectimax-ai

2048 game solved with Expectimax

qpwoeirut/2048-solver

A set of AIs for the 2048 tile-merging game. Includes an expectimax strategy that reaches 16384...

FelipeMarcelino/2048-Gym

This projects aims to use reinforcement learning algorithms to play the game 2048.

SrinidhiRaghavan/AI-2048-Puzzle

2048 puzzle using minimax algorithm