Reinforcement learning neural agents in clever game playing

All human cultures throughout history have played games and from the beginning of Artificial Intelligence development, there has existed a great interest in games as a research platform. Games such as Backgammon, Chess, Checkers, Go, Othello and Tic- Tac-Toe are widely used for studying the learning...

• 1. autor: Cárdenas López, Kevin Fabricio (author)
• Format: bachelorThesis
• Język: eng
• Wydane: 2022
• Hasła przedmiotowe: Aprendizaje de refuerzo profundo; Agentes; Redes neuronales artificiales; Deep reinforcement learning; Agents; Artificial neural networks
• Dostęp online: http://repositorio.yachaytech.edu.ec/handle/123456789/525