There is a rising interest in developing artificial intelligence-based tools to address challenges in various security domains, e.g., protecting critical infrastructure and cyber networks and protecting wildlife, fishery, and forest. Motivated by these challenges, we have proposed game theory and machine learning based models and algorithms for problems with strategic interactions among agents. In this talk, I will introduce our models and algorithms that have led to two successfully deploy applications: one used by US Coast Guard for protecting the Staten Island Ferry in New York City since April 2013, the other used in multiple conservation areas around the world for anti-poaching effort. In addition, I will highlight our most recent advances in integrating deep learning with game theory, including computing equilibrium by learning from self-play and end-to-end learning of game parameters.
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Earlier Event: October 2Kiva: Think Beyond the Bank
Later Event: October 3IEE: How to Win When the Other Company’s Price is Lower