Continual learning, deep reinforcement learning, and microcircuits: a novel method for clever game playing
Contemporary neural networks frequently encounter the challenge of catastrophic forgetting,
wherein newly acquired learning can overwrite and erase previously learned information …
wherein newly acquired learning can overwrite and erase previously learned information …
Optimizing Strategy Games: Ant Colony Optimization vs. Minimax Algorithm
Y Angeles-García, VK Legaria-Santiago… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
This article proposes an Ant Colony Optimization (ACO) algorithm, an optimization method
to find paths in graphs, adapted to solve strategic games. The games of study are Tic-Tac …
to find paths in graphs, adapted to solve strategic games. The games of study are Tic-Tac …
Building a Tic-tac-toe Playing Robotic Arm
The aim of this paper is to create a robotic arm with artificial intelligence to play tic-tac-toe
against a human player. The robotic arm would actually place X or 0, when will be its turn …
against a human player. The robotic arm would actually place X or 0, when will be its turn …
Tic-tac-toe prediction based on machine learning methods
T Wu, C Yu - 2022 5th International Conference on Advanced …, 2022 - ieeexplore.ieee.org
With the development of artificial intelligence (AI) in modern society, more and more
research findings related to AI are being discovered. Machine learning allows for automation …
research findings related to AI are being discovered. Machine learning allows for automation …