Programming the
Future

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Hi!

I'm Ryan, a Computer Science student

and Reinforcement Learning enthusiast.

Latest Projects

Monte-Carlo Learning

Monte-Carlo Learning

Monte-Carlo Learning is an RL method used to estimate value functions and discover optimal policies for unknown MDPs. A great way to understand its concepts is with the card game Blackjack.

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Dynamic Programming

Dynamic Programming

Dynamic Programming is a fundamental technique in Reinforcement Learning, used for breaking complex problems down into subproblems to solve finite MDPs. This project focuses on three different methods.

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Wild Edible Plant Classifier

Wild Edible Plant Classifier

With the need for an increase in food resources before the year 2050, it’s crucial to consider alternative food sources. Convolutional Neural Networks can help achieve this!

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Data Structures

Data Structures

Have you ever needed a C#/C++ data structure in Python? Look no further! This project focuses on six types of data structures that are easy to use and modify.

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