victorzsl

Victor 's repositories

Recurrent Reinforcement Learning Algorithm Matlab Implementation

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some books

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Code for "Bayesian Online Changepoint Detection" (Adams and MacKay, 2007).

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Recurrent Reinforcement Learning

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A list of recent papers regarding deep reinforcement learning

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Implementation of finding "trading rules" using genetic programming. Uses OpenBeagle and C++ for implementation.

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A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python

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Capstone Project for the Machine Learning Nanodegree. Used Deep Q Learning to create an agent that trade stocks.

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Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.

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Github fork of Python Neural Genetic Algorithm Hybrids (Pyneurgen)

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Classes for experimenting with stock trading

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Learning to trade under the reinforcement learning framework

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Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.

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