Computer Systems Engineering
CSYE 7370: Deep Learning and Reinforcement Learning in Game Engineering
Lecture - 4 credits
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- 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.
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. Show more.