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.Learn more
Deep Deterministic Policy Gradiant for TORCS
Building a car racing program with deep deterministic policy gradiant algorithms for a car racing simulator TORCS.Learn more
MineRL: Towards State of the Art AI in Minecraft
Build agents that play Minecraft using state-of-the-art Machine Learning!