Welcome to the Security and Artificial Intelligence Lab (SAIL)
The Security and Artificial Intelligence Lab is interested in solving challenging problems in the areas of Artificial Intelligence, Computational Intlligence, Machine Learning, Reinforcement Learning, Evolutionary Algorithms, Search and Optimization with a focus on applications in Computer Games, Multi-Agent Systems, and Simulations.
Specific projects currently undergoing in our lab include the development of multi-agent reinforcement learning algorithms for real-time strategy games, DDPG with transfer learning for car racing games, content generation on Minecraft.
Multi-Agent Reinforcement Learning
A novel semi-centralized deep reinforcement learning algorithm for mixed cooperative and competitive multi-agent environments.
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Deep Deterministic Policy Gradiant for TORCS
Building a car racing program with deep deterministic policy gradiant algorithms for a car racing simulator TORCS.
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MineRL: Towards State of the Art AI in Minecraft
Build agents that play Minecraft using state-of-the-art Machine Learning!
Team
Dr. Siming Liu
Assistant Professor. Computational Intelligence, Artificial Intelligence, Reinforcement Learning, Optimization.
Anthony Harris
Master student in Computer Science. Data Scientist at O'Reilly since 2021.
Rafail Islam
Master student in Computer Science.
Huynh D. Huy
Undergraduate student in Computer Science.