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Reinforcement Learning CMPT 729 (3)
Reinforcement learning is the branch of machine learning that studies learning to act. Agents observe, predict, and act to change their environment. Reinforcement learning has notable success in learning to play video & board games, improving robot performance, and task scheduling. Many recent successes have utilized neural nets, an approach known as deep reinforcement learning.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
|
Xue Bin Jason Peng |
May 8 – Aug 4, 2023: Thu, 10:30 a.m.–1:20 p.m.
|
Burnaby |