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.
Projects
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.
Active project
A novel semi-centralized deep reinforcement learning algorithm for mixed cooperative
and competitive multi-agent environments.
Project
Building a car racing program with deep deterministic policy gradiant algorithms for
a car racing simulator TORCS.
