Neuroevolution in games: State of the art and open challenges
S Risi, J Togelius - … on Computational Intelligence and AI in …, 2015 - ieeexplore.ieee.org
This paper surveys research on applying neuroevolution (NE) to games. In neuroevolution,
artificial neural networks are trained through evolutionary algorithms, taking inspiration from …
artificial neural networks are trained through evolutionary algorithms, taking inspiration from …
[图书][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 …
Deep learning for video game playing
In this paper, we review recent deep learning advances in the context of how they have
been applied to play different types of video games such as first-person shooters, arcade …
been applied to play different types of video games such as first-person shooters, arcade …
A panorama of artificial and computational intelligence in games
GN Yannakakis, J Togelius - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
This paper attempts to give a high-level overview of the field of artificial and computational
intelligence (AI/CI) in games, with particular reference to how the different core research …
intelligence (AI/CI) in games, with particular reference to how the different core research …
Deep learning applications in games: a survey from a data perspective
This paper presents a comprehensive review of deep learning applications in the video
game industry, focusing on how these techniques can be utilized in game development …
game industry, focusing on how these techniques can be utilized in game development …
Clustering game behavior data
Recent years have seen a deluge of behavioral data from players hitting the game industry.
Reasons for this data surge are many and include the introduction of new business models …
Reasons for this data surge are many and include the introduction of new business models …
Improving adaptive gameplay in serious games through interactive deep reinforcement learning
A Dobrovsky, UM Borghoff, M Hofmann - … infocommunications, theory and …, 2019 - Springer
Serious games belong to the most important future e-learning trends. Yet, balancing the
transfer of knowledge (the serious part) and the entertainment (the playful part) is a …
transfer of knowledge (the serious part) and the entertainment (the playful part) is a …
Applying and augmenting deep reinforcement learning in serious games through interaction
A Dobrovsky, UM Borghoff, M Hofmann - … Electrical Engineering and …, 2017 - pp.bme.hu
Serious games belong to the most important future e-learning trends and are frequently
used in recruitment and training. Their development, however, is still a demanding and …
used in recruitment and training. Their development, however, is still a demanding and …
Learning-based procedural content generation
J Roberts, K Chen - … on Computational Intelligence and AI in …, 2014 - ieeexplore.ieee.org
Procedural content generation (PCG) has recently become one of the hottest topics in
computational intelligence and AI game research. While some substantial progress has …
computational intelligence and AI game research. While some substantial progress has …
An approach to interactive deep reinforcement learning for serious games
A Dobrovsky, UM Borghoff… - 2016 7th IEEE …, 2016 - ieeexplore.ieee.org
Serious games receive increasing interest in the area of e-learning. Their development,
however, is often still a demanding, specialized and arduous process, especially when …
however, is often still a demanding, specialized and arduous process, especially when …