ELEC 6102 - Autonomous Vehicles II: Artificial Intelligence-enabled Decision-making

Prerequisite: ELEC 6101 or ELEC 4101. This course specifically focuses on the decision-making and control of robots. Topics include deep reinforcement learning, value-based and policy-based algorithms, multi-agent reinforcement learning, game theory, and reviews of cutting-edge decision-making papers. Knowledge of basic machine learning and Autonomous Vehicles I course is required. 3 credits.