What is Reinforcement Leaing about?
In contrast to supervised leaing where machines lea from examples that include the correct decision and unsupervised leaing where machines discover pattes in the data, reinforcement leaing allows machines to lea from partial, implicit and delayed feedback. This is particularly useful in sequential decision making tasks where a machine repeatedly interacts with the environment or users. Applications of reinforcement leaing include robotic control, autonomous vehicles, game playing, conversational agents, assistive technologies, computational finance, operations research, etc..
Disclaimer!
This repository mainly contains my assignments for this Reinforcement Leaing course, which was offered in Fall 2021 at UWaterloo by Professor Pascal Poupart. Because of the academic integrity, I don't have the permission to post this repository publicly online; therefore, this repository is only accessible upon explicit request to me as defined i Teaching Assistant-Fundamental of Programming-#2...
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