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Discover how to build an AI system capable of mastering the classic 1990s arcade game Double Dragon using Python, Kubernetes, and practical programming approaches in this 35-minute conference talk. Learn to leverage PyBoy, a Python-based emulator, to create direct game interactions and implement scalable AI training environments through containerization and Kubernetes deployment. Explore the design of effective reward systems that guide AI learning toward strategic gameplay behaviors, and witness live demonstrations of the trained AI successfully conquering challenging game scenarios while outperforming human players. Gain practical insights into implementing AI projects using accessible open-source tools and programming practices, moving beyond complex theoretical concepts to hands-on development techniques that deliver remarkable results.
