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|Session Name:||ML Tutorial Day: Smart Bots for Better Games: Reinforcement Learning in Production|
|Track / Format:||Programming|
|Overview:||This talk provides an overview of various reinforcement learning algorithms and how they may help game studios create better games, more efficiently. Besides AI development, the ability to train bots to play games during production opens up promising opportunities for automated testing and design assistance. But applying reinforcement learning to modern games brings up many challenges, illustrated here through several examples, with a focus on recent experiments within Ubisoft games. Whether you want to directly learn from pixels to minimize the integration burden, or entirely rewrite your engine to make it more "reinforcement learning-friendly", this presentation is packed with practical tips to help you reach your goal without (too many) tears.|