Agent can learn and make decisions on its own, and exist in both digital and real world.
We aim to create the ultimate agent product experience, to improve industry efficiency and everyday life experience.
Enterprise-level one-stop agent training platform, providing end-to-end tools on agent development, training, evaluation and deployment. It can help customer build intelligent agents and apply them to various industrial applications quickly and efficiently.More>>
Powered by the new generation of AI technology, the self-learning and decision-making agent, can help customers solve dynamic decision-making problems in complex environments such as game, optimization, scheduling, robotic control, etc.More>>
Virtual players and virtual characters based on cutting-edge agent technology, can learn and imitate human behaviors, and interact with humans with personalities. They can be used to create a personalized and immersive entertainment experience in the form of video games, interactive movies, and virtual world, etc.More>>
StarCraft, one of the most successful and challenging RealTime Strategy (RTS) games, has been the "grand challenge" for AI research. After years of research, we developed StarCraft Commander (SCC), a deep reinforcement learning agent plays StarCraft II full game at top professional level, and also a world-class team of algorithms and engineering.More>>
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