no code implementations • 30 Oct 2023 • Lana Bertoldo Rossato, Leonardo Boaventura Bombardelli, Anderson Rocha Tavares
Evolutionary game design, which combines evolutionary algorithms with automated playtesting, has been used to create novel board games with simple equipment; however, the original approach does not include complex tabletop games with dice, cards, and maps.
1 code implementation • 25 Oct 2023 • Marco Antônio Athayde de Aguiar Vieira, Anderson Rocha Tavares, Renato Perez Ribas
In this paper, we present a general approach to implement an artificial intelligence opponent with difficulty levels for zero-sum games, together with a propose of a Minimax-MCTS hybrid algorithm, which combines the minimax search process with GGP aspects of MCTS.
1 code implementation • 7 Nov 2020 • Ronaldo Vieira, Anderson Rocha Tavares, Luiz Chaimowicz
In this paper, we present a deep reinforcement learning approach for deck building in arena mode - an understudied game mode present in many collectible card games.