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:
3
Prerequisites:
CSCI(PHIL) 4550/6550
Level: