CSYE7370 (Deep Learning and Reinforcement Learning in Game Engineering) course reviews and ratings at Northeastern (NEU). Compare professors with RateMyProfessor reviews.
Introduces a deep learning and reinforcement learning framework for games called ML-Agents, which enable games and simulations to serve as environments for training intelligent agents. Studies and reviews classical game artificial intelligence (game AI), primarily search and decision trees. Uses game AI to generate responsive, adaptive, or intelligent behaviors primarily in nonplayer characters (NPCs) similar to human-like intelligence. Game AI includes everything from simple chasing and evading to pattern movement, to create opponents with complex tactical and strategic decisions.
Data updated October 2026.