Darefightingice competition: A fighting game sound design and ai competition

I Khan, T Van Nguyen, X Dai… - 2022 IEEE Conference …, 2022 - ieeexplore.ieee.org
This paper presents a new competition-at the 2022 IEEE Conference on Games (CoG)-
called DareFightingICE Competition. The competition has two tracks: a sound design track …

Evolving population method for real-time reinforcement learning

MJ Kim, JS Kim, CW Ahn - Expert Systems with Applications, 2023 - Elsevier
Reinforcement learning has recently been recognized as a promising means of machine
learning, but its applicability remains limited in real-time environment due to its short …

Diversity-based deep reinforcement learning towards multidimensional difficulty for fighting game ai

E Halina, M Guzdial - arXiv preprint arXiv:2211.02759, 2022 - arxiv.org
In fighting games, individual players of the same skill level often exhibit distinct strategies
from one another through their gameplay. Despite this, the majority of AI agents for fighting …

Surrogate-assisted Monte Carlo Tree Search for real-time video games

MJ Kim, D Lee, JS Kim, CW Ahn - Engineering Applications of Artificial …, 2024 - Elsevier
Abstract Monte Carlo Tree Search (MCTS) is a pronounced empirical search algorithm for
agent decision-making, especially when enhanced by Deep Learning (DL), in mastering …

Fuzzy Utility AI for Handling Uncertainty in Video Game Bots Implementation

M Świechowski - 2024 IEEE Congress on Evolutionary …, 2024 - ieeexplore.ieee.org
Utility AI is an effective tool used to design the behavior of AI agents in games and other
multi-agent settings. Lately, it has been gaining a lot of attention in the video games domain …

[引用][C] Técnicas de Inteligência Artificial na Criação de Personagens Não Jogáveis: uma Revisão de Literatura

GPO Valadares, MWS Ribeiro - Simpósio Brasileiro de Jogos e Entretenimento …, 2022 - SBC