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Study on artificial intelligence: The state of the art and future prospects
C Zhang, Y Lu - Journal of Industrial Information Integration, 2021 - Elsevier
In the world, the technological and industrial revolution is accelerating by the widespread
application of new generation information and communication technologies, such as AI, IoT …
application of new generation information and communication technologies, such as AI, IoT …
[کتاب][B] Artificial intelligence and games
GN Yannakakis, J Togelius - 2018 - Springer
Georgios N. Yannakakis Julian Togelius Page 1 Artificial Intelligence and Games Georgios N.
Yannakakis Julian Togelius Page 2 Artificial Intelligence and Games Page 3 Georgios N …
Yannakakis Julian Togelius Page 2 Artificial Intelligence and Games Page 3 Georgios N …
Online minimax Q network learning for two-player zero-sum Markov games
The Nash equilibrium is an important concept in game theory. It describes the least
exploitability of one player from any opponents. We combine game theory, dynamic …
exploitability of one player from any opponents. We combine game theory, dynamic …
Games for artificial intelligence research: A review and perspectives
Games have been the perfect test beds for artificial intelligence (AI) research for the
characteristics that widely exist in real-world scenarios. Learning and optimization, decision …
characteristics that widely exist in real-world scenarios. Learning and optimization, decision …
A survey of opponent modeling in adversarial domains
Opponent modeling is the ability to use prior knowledge and observations in order to predict
the behavior of an opponent. This survey presents a comprehensive overview of existing …
the behavior of an opponent. This survey presents a comprehensive overview of existing …
Creating pro-level AI for a real-time fighting game using deep reinforcement learning
Reinforcement learning (RL) combined with deep neural networks has performed
remarkably well in many genres of games recently. It has surpassed human-level …
remarkably well in many genres of games recently. It has surpassed human-level …
The 1st ChatGPT4PCG Competition
This article summarizes the first ChatGPT4PCG competition held at the 2023 IEEE
Conference on Games. The goal of the competition is to explore emergent abilities of …
Conference on Games. The goal of the competition is to explore emergent abilities of …
Enhanced rolling horizon evolution algorithm with opponent model learning: Results for the fighting game AI competition
The Fighting Game AI Competition (FTGAIC) provides a challenging benchmark for two-
player video game artificial intelligence. The challenge arises from the large action space …
player video game artificial intelligence. The challenge arises from the large action space …
Diversifying dynamic difficulty adjustment agent by integrating player state models into Monte-Carlo tree search
Game developers have employed dynamic difficulty adjustment (DDA) in designing game
artificial intelligence (AI) to improve players' game experience by adjusting the skill of game …
artificial intelligence (AI) to improve players' game experience by adjusting the skill of game …
Monte-carlo tree search for implementation of dynamic difficulty adjustment fighting game ais having believable behaviors
In this paper, we propose a Monte-Carlo Tree Search (MCTS) fighting game AI capable of
dynamic difficulty adjustment while maintaining believable behaviors. This work targets …
dynamic difficulty adjustment while maintaining believable behaviors. This work targets …