Development of Non-Player Character with Believable Behavior: a systematic literature review

GA da Silva, MW de Souza Ribeiro - Anais Estendidos do XX …, 2021 - sol.sbc.org.br
Non-player character or non-playable character (NPC) does not always have appropriate
and responsive behaviors. When the decision-making process is more artificial than …

Improving hearthstone AI by learning high-level rollout policies and bucketing chance node events

S Zhang, M Buro - 2017 IEEE conference on computational …, 2017 - ieeexplore.ieee.org
Modern board, card, and video games are challenging domains for AI research due to their
complex game mechanics and large state and action spaces. For instance, in Hearthstone-a …

Desenvolvimento de npcs com comportamentos engajados

GA da Silva, MW de Souza Ribeiro - Anais Estendidos do XX …, 2021 - sol.sbc.org.br
Resumo NPCs (Non-Player Character) ou personagens não jogáveis nem sempre possuem
comportamentos considerados adequados e responsivos. E, esta artificialidade pode gerar …

Improving collectible card game AI with heuristic search and machine learning techniques

S Zhang - 2017 - era.library.ualberta.ca
Modern board, card, and video games are challenging domains for AI research due to their
complex game mechanics and large state and action spaces. For instance, in Hearthstone …

Player Analysis in Computer Games Using Artificial Neural Networks

J Bergsten, K Öhman - 2017 - diva-portal.org
Star Vault AB is a video game development company that has developed the video game
Mortal Online. The company has stated that they believe that players new to the game …

Detecting strategic moves in HearthStone matches

B Doux, C Gautrais, B Negrevergne - Machine Learning and Data …, 2016 - hal.science
In this paper, we demonstrate how to extract strategic knowledge from gaming data collected
among players of the popular video game HearthStone. Our methodology is as follows. First …

[引用][C] Hearthstone: finding the optimal play

T Drijvers - 2018 - MA thesis. Department of …