2048-Gym and DQN-2048

2048-Gym
32
Emerging
DQN-2048
27
Experimental
Maintenance 0/25
Adoption 9/25
Maturity 8/25
Community 15/25
Maintenance 0/25
Adoption 7/25
Maturity 8/25
Community 12/25
Stars: 88
Forks: 13
Downloads:
Commits (30d): 0
Language: Python
License:
Stars: 28
Forks: 4
Downloads:
Commits (30d): 0
Language: Python
License:
No License Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About 2048-Gym

FelipeMarcelino/2048-Gym

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

This project offers a reinforcement learning solution to play the game 2048. It takes in game board states as input and outputs optimal moves to achieve high scores, aiming to reach the 2048 tile. It's designed for machine learning researchers or enthusiasts interested in applying and experimenting with deep Q-learning algorithms in a classic game environment.

Reinforcement Learning Deep Q-Learning Game AI Machine Learning Research AI Training

About DQN-2048

SergioIommi/DQN-2048

Deep Reinforcement Learning to Play 2048 (with Keras)

This project implements an intelligent agent that learns to play the game 2048 using deep reinforcement learning. It takes the current 2048 game board as input and determines the optimal next move (up, down, left, or right) to maximize the score and reach higher tiles. This is designed for researchers and enthusiasts exploring deep reinforcement learning techniques in game environments.

reinforcement-learning deep-learning game-AI neural-networks intelligent-agents

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