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Deep_reinforcement_learning_Course - Implementations from the free course Deep Reinforcement Learning with Tensorflow

  •    Jupyter

Deep Reinforcement Learning Course is a free series of blog posts and videos πŸ†• about Deep Reinforcement Learning, where we'll learn the main algorithms, and how to implement them with Tensorflow. πŸ“œThe articles explain the concept from the big picture to the mathematical details behind it.

AgentNet - Deep Reinforcement Learning library for humans

  •    Python

AgentNet is a deep reinforcement learning framework, which is designed for ease of research and prototyping of Deep Learning models for Markov Decision Processes. We have a full in-and-out support for Lasagne deep learning library, granting you access to all convolutions, maxouts, poolings, dropouts, etc. etc. etc.

Thesis - Code repository for my thesis on algorithmic trading

  •    Javascript

Code repository for my thesis on algorithmic trading. This is an ongoing project, consisting of a C++ Q-learning Reinforcment learning trading algorithm, a Python linear regression trading algortihm, a Python neural network predicting stock prices, and a Javascript experiment for human participants.

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