Enhancing Pokémon VGC Player Performance: Intelligent Agents Through Deep Reinforcement Learning and Neuroevolution

Gian Rodriguez, Edwin Villanueva, Johan Baldeón

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

Competitive Pokémon battles demand deep strategic thinking and real-time decision-making, posing challenges for players seeking to optimize their performance. This paper presents a novel approach utilizing Deep Reinforcement Learning and Neuroevolution to develop AI agents that excel in the complex Video Game Championships (VGC) format. We address the limitations of existing research by focusing on VGC double battles and their evolving rules. Our intelligent agents learn through game experience, offering competitive challenges to human players and suggesting optimal moves in an intuitive interface. Additionally, we present a tool that leverages the agent’s knowledge to promote the use of underutilized Pokémon, fostering gameplay diversity and enriching the experience for both novice and experienced players. This research demonstrates the potential of AI-powered assistance in enhancing player experience and strategic decision-making within complex competitive games.

Idioma originalInglés
Título de la publicación alojadaHCI in Games - 6th International Conference, HCI-Games 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings
EditoresXiaowen Fang
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas275-294
Número de páginas20
ISBN (versión impresa)9783031606915
DOI
EstadoPublicada - 2024
Evento6th International Conference on HCI in Games, held as part of the 26th HCI International Conference, HCII 2024 - Washington, Estados Unidos
Duración: 29 jun. 20244 jul. 2024

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen14730 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia6th International Conference on HCI in Games, held as part of the 26th HCI International Conference, HCII 2024
País/TerritorioEstados Unidos
CiudadWashington
Período29/06/244/07/24

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