AI and machine learning accelerate the development of more realistic worlds and challenges. Our solutions can automate manual game-balance testing workflows to train your game AI, find efficiencies, and identify and predict patterns. Predict player behavior Know what your players are going to do be...
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Ultimately, the results obtained here demonstrate the usefulness of convolutional neural networks to perform deep Q learning as proposed in [1]. However, we have only applied these methods to relatively simple games; CNNs have also been used in much more complex image processing and object recogni...
You'll make leaps and bounds just by playing a lot. There's a proverb that says to lose your first hundred games as quickly as possible and it's a proverb for a reason. The experience is necessary for the pattern recognition and mistakes are learning opportunities. It's the same way ...
With constant machine learning, Suphx went from being a novice to an expert after more than 5,000 games over four months. The more it played, the more it learned at an ever-increasing pace. It has now honed its own playing style and can balance attack and defense moves, strategically wei...
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Since the beginning of computer games era, artificial intelligence (AI) has been a standard feature of games. The current emphasis in computer game AI is improving the quality of opponent AI. Our research question reads: How can unsupervised online learning be incorporated in Computer Role Playing...
No, no, I actually like game development. But I think that’s the future, basically, you know, and you can fight it or just come along with it. So I think somebody will make AI generated games. And another part of the reason is that, and this is what, why I’m so interested in...
AlphaHoldem, which employs a new framework by incorporating deep-learning into a new self-play algorithm, used only eight GPUs during its training, which is ultra-lightweight compared with DeepStack's 13,000 GPUs, according to a recent CAS news release. The researchers said l...