Hybrid Minimax-MCTS and Difficulty Adjustment for General Game Playing-Reference-Cited by-同舟云学术

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Hybrid Minimax-MCTS and Difficulty Adjustment for General Game Playing

Published:2023-11-06 Issue: Volume:9 Page:20-27
ISSN:
Container-title:Proceedings of the 22nd Brazilian Symposium on Games and Digital Entertainment
language:
Short-container-title:

Author:

Vieira Marco Antônio Athayde De Aguiar¹^ORCID,Tavares Anderson Rocha¹^ORCID,Ribas Renato Perez¹^ORCID

Affiliation:

1. Universidade Federal do Rio Grande do Sul, Brazil

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3631085.3631331

Reference11 articles.

1. Michael Genesereth, Nathaniel Love, and Barney Pell. 2005. General game playing: Overview of the AAAI competition. AI magazine 26, 2 (2005), 62–62.

2. A Survey of Monte Carlo Tree Search Methods

3. MCTS-Minimax Hybrids

4. Donald E Knuth and Ronald W Moore. 1975. An analysis of alpha-beta pruning. Artificial intelligence 6, 4 (1975), 293–326.

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