The Most Efficient Temporal Difference Learning Framework for 2048
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Updated
Sep 4, 2024 - C++
The Most Efficient Temporal Difference Learning Framework for 2048
Temporal Difference Learning for the Game of 2048 (Demo)
WiSARD Weightless Neural Network (WNN) Model implemented in Julia.
Gymnasium environment for the game 2048
Temporal difference learning for 2048
N-Tuple Neural Network for tic tac toe
Técnicas de criação de mapeamentos para o modelo WiSARD.
Gra 2048 w kontekście uczenia ze wzmocnieniem
A 2048 game platform made with Python & the AI of the game trained by reinforcement learning
This repository contains my undergraduate thesis source code for Multi-stage Temporal Difference Learning with 2048 as an AI testbed. I reimagined my original C++ implementation in Qt for visualisation purposes.
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