Temporal Difference Learning for the Game of 2048 (Demo)
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Updated
May 10, 2024 - Python
Temporal Difference Learning for the Game of 2048 (Demo)
WiSARD Weightless Neural Network (WNN) Model implemented in Julia.
The Most Efficient Temporal Difference Learning Framework for 2048
N-Tuple Neural Network for tic tac toe
Gymnasium environment for the game 2048
Temporal difference learning for 2048
N-Tuple neural network for playing 2048
Gra 2048 w kontekście uczenia ze wzmocnieniem
Técnicas de criação de mapeamentos para o modelo WiSARD.
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.
N-tuple neural network written in x86 assembly
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