An AI can beat a chess grandmaster. An AI can become the StarCraft esports champion. But creating an AI that could play Pokémon at the competitive level has been a more elusive problem.
Thanks to the variety of monsters, stats, moves, and items, a Pokémon battle has hundreds of thousands of factors for any player — or machine — to consider. But that hasn’t stopped some people from trying. Most recently, Future Sight AI, created by computer scientist Albert III, successfully made it into the top 5 percent of the competitive ladder.
Albert posted a video explaining how it all works, but to summarize, the bot takes in all the information it can about the current state of the game, extrapolates the possibilities for all the turns it could take, looks a couple of turns ahead to how these would play out, and then chooses the option that can lead to the highest number of best outcomes. By doing all of that within 15 seconds, turn after turn, it can beat all but the very best human players.
Le règlement DORA : un tournant majeur pour la cybersécurité des institutions financières Le 17…
L’Agence nationale de la sécurité des systèmes d'information (ANSSI) a publié un rapport sur les…
Directive NIS 2 : Comprendre les nouvelles obligations en cybersécurité pour les entreprises européennes La…
Alors que la directive européenne NIS 2 s’apprête à transformer en profondeur la gouvernance de…
L'intelligence artificielle (IA) révolutionne le paysage de la cybersécurité, mais pas toujours dans le bon…
Des chercheurs en cybersécurité ont détecté une intensification des activités du groupe APT36, affilié au…
This website uses cookies.