I’m an Engineering grad student and a ML enthusiast/researcher. My interests primarily include deep RL, applications of machine learning in mathematical optimization and operations research, graph representation learning, and geometric deep learning. Also, I always have an eye for advances and research in more fundamental topics of AI such as optimization techniques, and learning methods.
- Ontario, Canada
- epichka.com
Highlights
- Pro
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attn-PG-RL-tsp
attn-PG-RL-tsp PublicA PyTorch implementation of the attention-based Policy Gradient RL for learning to solve Travelling Salesperson Problem based on the paper https://doi.org/10.1007/978-3-319-93031-2_12
Jupyter Notebook 8
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ml-options-pricing
ml-options-pricing PublicPricing Financial Options contracts using LightGBM, Deep Learning, and Support Vector Machines.
Jupyter Notebook 14
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DDPG-implementation
DDPG-implementation PublicAn implementation of the DDPG algorithm from the paper "Continuous control with deep reinforcement learning"
Python 1
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awesome-optimization
awesome-optimization PublicA curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.
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