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

•    Jupyter

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

deep-reinforcement-learning qlearning deep-learning tensorflow-tutorials tensorflow ppo a2c actor-critic deep-q-network deep-q-learning

AgentNet - Deep Reinforcement Learning library for humans

•    Python

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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.

reinforcement-learning framework theano lasagne opeani-gym binder qlearning deep-learning deep-neural-networks

MicroMLP - A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)

•    Python

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A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)

machine-learning qlearning ai deep-learning neural-network micropython esp32 q-learning artificial-intelligence neurons deeplearning mlp predictive-modeling ann lopy wipy pycom multilayer-perceptron hc2

Thesis - Code repository for my thesis on algorithmic trading

•    Javascript

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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.

reinforcement-learning qlearning neural-network linear-regression cpp14 python3 algorithmic-trading psychjs