Deep Reinforcement Learning Course is a free series of blog posts and videos π about Deep Reinforcement Learning, where we'll learn the main algorithms, and how to implement them with Tensorflow. πThe 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-learningAgentNet 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-networksA 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 hc2Code 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
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