The Number One Educational Resource for the Game Industry
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Overview:
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Recent developments in Reinforcement Learning (RL) have resulted in near-human ability in competitive games such as Go, StarCraft and Dota 2, at the cost of significant computing power. An often under-looked element of training RL is the satisfaction that researchers and enthusiasts gain while watching their agents evolve and learn.nnIn this talk, Co-Directors Nick Counter and Dante Camarena present the work done in constructing Little Learning Machines, a game designed to bring the experience of training your own AI to players of any skill level. They show how careful game design and tricky engineering can help create a game that makes training accessible to people without technical knowledge or expensive computers. This presentation is intended to inspire developers to push this idea further.
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