Research [1, 2] shows you can combine XGBoost and CNNs to accurately solve non-image classification problems. In this project, I adapt this model to show a shockingly powerful method for image classification.
Continue readingAn Introduction to Safe Reinforcement Learning
This project is my introduction to safe Reinforcement Learning. For this project, I develop a grid-world simulation and an RL algorithm from scratch to experiment with safety RL methods.
Continue readingIn-depth analysis of Reinforcement Learning and Formal Logic
Recent research [1, 2, 3] shows how Logic can complement Reinforcement Learning algorithms to make the learning process faster and safer. In this project, I contextualize and critically evaluate the literature on this topic.
Continue readingAlgorithmic Trading - Bitcoin Price Prediction
I develop two LSTM models based on a dataset of Bitcoin prices. The first model predicts Bitcoin's day-to-day prices. The second model predicts Bitcoin's day-to-day price difference.
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