Cloud Engineer at Carnegie Robotics, Math BS, CS MS from SUNY Buffalo. MBA candidate at Carnegie-Mellon. Passionate about Quant Finance & Reinforcement Learning
- Pittsburgh, PA
- nathan.margagl.io
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Agent-Resource-Allocation
Agent-Resource-Allocation PublicExperimentation with Multiple-Agents-As-Resources Management
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Proximal-Policy-Optimization
Proximal-Policy-Optimization PublicAn implementation of Proximal Policy Optimization
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Policy-Gradient-Methods-for-Reinforcement-Learning
Policy-Gradient-Methods-for-Reinforcement-Learning PublicAn implementation of the "Policy Gradient Methods for Reinforcement Learning with Function Approximation" paper.
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Deep-Q-Network
Deep-Q-Network PublicA quick Deep Q-Network Tutorial using TensorFlow
Jupyter Notebook
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Deployable-Model
Deployable-Model PublicTraining a neural network to classify MNIST digits and deploy it as a web app.
JavaScript 2
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