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Jun 04, 2026
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BZAN 558 - Deep Reinforcement Learning for Business Applications1.5 or 3 Credit Hours
Fundamentals and advances in prescriptive analytics using reinforcement learning and deep neural networks with applications in business, including policy gradients, Q-learning, and actor critic algorithms. Special focus will be on making deep reinforcement learning work on real-life, large business data with topics such as entropy regularization, exploration versus exploitation, replay buffers, learning from offline data, and solving problems with multiple objectives.
(RE) Prerequisite(s): BZAN 545.
(RE) Corequisite(s): BZAN 554.
Registration Restriction(s): Master of Science – Business Analytics major, or Dual MS-MBA Program, Business Analytics major. Minimum student level – graduate.
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