Learning to play an imperfect information card game using reinforcement learning

BK DEMİRDÖVER, Ö Baykal… - Turkish Journal of …, 2022 - journals.tubitak.gov.tr
Artificial intelligence and machine learning are widely popular in many areas. One of the
most popular ones is gaming. Games are perfect testbeds for machine learning and artificial …

A Gospel for MOBA Game: Ranking-Preserved Hero Change Prediction in Dota 2

H Yue, H Liu, J Chen - IEEE Transactions on Games, 2021 - ieeexplore.ieee.org
Dota 2 is one of the most popular multiplayer online battle arena games, in which players of
different teams controlling heroes fight each other to pursue a championship. To enrich the …

Investigating Cases and Clusters-Based Reuse Policies for Card-Playing Agents

GB Paulus, DP Vargas, JVC Assunção… - … IEEE Conference on …, 2023 - ieeexplore.ieee.org
Computer games continue to present challenging experimental fields for developing
Artificial Intelligence (AI) models. With Case-Based Reasoning and Clustering, this work …

Modeling of synthetic players as an instrument for testing generative content

DRC Alves - 2021 - estudogeral.uc.pt
There is a need to discover new, reliable techniques to test procedurally generated game
scenarios. One method that has potential is automated testing, which consists in using …

[PDF][PDF] A Markovian model for the Game of Truco

L Rossato, LA Silva, J Assunçao - As, 2020 - sbgames.org
In recent years, the advancement of Artificial Intelligence (AI) for games is notorious.
However, despite achieving the expected results, many AI techniques require considerable …

Bilevel Entropy based Mechanism Design for Balancing Meta in Video Games

S Pendurkar, C Chow - … of the 2023 International Conference on …, 2023 - par.nsf.gov
We address a mechanism design problem where the goal of the designer is to maximize the
entropy of a player's mixed strategy at a Nash equilibrium. This objective is of special …

Battle Card, Card Game for Teaching the History of the Incas Through Intelligent Techniques

JA Humpire, MG Vidal, MT Moina, MV Colque… - Science and Information …, 2022 - Springer
History plays a vital role in knowing their past and thus improving and not making the same
mistakes in the future. However, history teaching has some shortcomings, such as …

Teaching bot to play thousand schnapsen

A Domańska, M Ganzha, M Paprzycki - Machine Learning, Advances in …, 2022 - Springer
During recent years, AI found its ways to games. Here, imperfect information games, such as
Thousand Schnapsen, bring about major challenges. In this work, the rules and …

Challenging human supremacy: Evaluating monte carlo tree search and deep learning for the trick taking card game jass

J Niklaus, M Alberti, R Ingold, M Stolze… - … Conference on Artificial …, 2020 - Springer
Despite the recent successful application of Artificial Intelligence (AI) to games, the
performance of cooperative agents in imperfect information games is still far from surpassing …

An efficient training strategy for multi-agent reinforcement learning in card games

J Shen - 2nd International Conference on Artificial Intelligence …, 2022 - spiedigitallibrary.org
Most of the previous researches on reinforcement learning focused on modifying the
learning mechanism of the Markov Decision Process. Researches on training strategy to …