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Arthur Juliani awjuliani

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awjuliani / t-SNE Tutorial.ipynb
Created March 2, 2016 18:13
A notebook describing how to use t-SNE to visualize a neural network learn representations
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awjuliani / Deep Layer Visualization.ipynb
Last active January 26, 2026 20:00
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awjuliani / softmax.ipynb
Last active December 27, 2024 03:41
A simple ipython notebook that walks through the creation of a softmax regression model using MNIST dataset.
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awjuliani / Q-Net Learning Clean.ipynb
Created August 25, 2016 20:30
Basic Q-Learning algorithm using Tensorflow
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awjuliani / InfoGAN-Tutorial.ipynb
Created October 22, 2016 02:10
An implementation of InfoGAN.
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awjuliani / Deep-Recurrent-Q-Network.ipynb
Last active July 18, 2023 19:18
An implementation of a Deep Recurrent Q-Network in Tensorflow.
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awjuliani / SimplePolicy.ipynb
Created September 11, 2016 00:20
Policy gradient method for solving n-armed bandit problems.
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awjuliani / Q-Table Learning-Clean.ipynb
Last active October 25, 2022 07:57
Q-Table learning in OpenAI grid world.
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awjuliani / ContextualPolicy.ipynb
Last active October 11, 2022 21:27
A Policy-Gradient algorithm that solves Contextual Bandit problems.
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awjuliani / Q-Exploration.ipynb
Created November 14, 2016 21:57
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