报告人：Dr Simon Lucas 人工智能教授
In recent years there has been great progress in strong game-playing agents, with AI now superhuman on many challenging games such as Go, and becoming competitive on even harder games such as Starcraft. This has been achieved with a mix of Deep Reinforcement Learning and Statistical Forward Planning (SFP) algorithms. In this talk I’ll give a summary of some of the main achievements and current unsolved problems, as well as exploring opportunities for Game AI in other directions. This includes automatically tuning and playtesting games end evolving game content, and also how we can apply game AI to real-world decision making.
Dr Simon Lucas
Dr Simon Lucas is a professor of Artificial Intelligence and Head of the School of Electronic Engineering and Computer Science at Queen Mary University of London where he also heads the Game AI Research Group. He is the founding Editor-in-Chief of the IEEE Transactions on Games and he co-founded the IEEE Conference on Computational Intelligence and Games. He is currently the Vice-Principal for Education of the IEEE Computational Intelligence Society. His research involves developing and applying computational intelligence techniques to build better game AI, use AI to design better games, provide deep insights into the nature of intelligence and work towards Artificial General Intelligence.