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CSCI (ARTI) 4600/6600

Reinforcement Learning

Reinforcement learning studies methods for learning to act optimally based on the reward or punishment over time. Such machine learning is useful when we wish to learn high-quality behavior under uncertainty and the only data are reward signals. Introduces classical and modern methods in single- and multi-agent settings.

Not offered on a regular basis.


Credit Hours:
CSCI(PHIL) 4550/6550

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