The Intelligence Dynamics Lab (indylab) studies the dynamics of intelligent systems through the lens of theory and applications of control learning — reinforcement learning, algorithmic game theory, information theory, and robotics. Our current research focuses on structure, exploration, and optimization in deep control learning of virtual and physical agents.
Key Research Areas:
Control Learning, Reinforcement Learning, Algorithmic Game Theory, Information Theory, Robotics
