AISE 4030A
0.50 credit · Main
Reinforcement Learning (RL) is a field of AI where agents learn to make decisions through trial-and-error to maximize rewards. This course covers core RL concepts, algorithms, and applications, including Q-Learning, Deep RL, and policy-based methods, with hands-on experience to solve real-world problems in robotics, games, and recommendation systems.
Data Science 3000A/B and (NMM 2276A/B or NMM 2277A/B).
3 lecture hours.
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