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Robotics Lab URJC Programming Robot Intelligence
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    Nacho Arranz

    Nacho Arranz

    Site for Master Thesis

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    References used in this project

    Machine and Deep Learning

    • Diagrama de flujo de datos
    • Curso Machine Learning de Amazon
    • Fast.ai Course

    Reinforcement Learning theory

    • A Brief Survey of Deep Reinforcement Learning
    • Toward Self-Driving Bicycles Using State-of-the-Art Deep Reinforcement Learning Algorithms
    • A Beginner’s Guide to Deep Reinforcement Learning
    • Hallucinogenic Deep Reinforcement Learning Using Python and Keras
    • Deep Reinforcement Learning: An Overview
    • Reinforcemente Learning edx course
    • Reinforcement Q-Learning from Scratch in Python with OpenAI Gym.
    • Google X’s Deep Reinforcement Learning in Robotics using Vision.
    • Aprendizaje por Refuerzo: Procesos de Decisión de Markov — Parte 1
    • Aprendizaje por Refuerzo: Procesos de Decisión de Markov — Parte 2
    • Reinforcement Learning tutorial with TensorFlow
    • Q-Learning and DQN.
    • DQN Nature Paper

    • [RL and DQN. Learning play from pixels]{https://rubenfiszel.github.io/posts/rl4j/2016-08-24-Reinforcement-Learning-and-DQN.html}

    • Simple reinforcement learning methods to learn CartPole
    • Amazon Warehouse using Reinforcement Learning

    Methods

    • DQN. Pong from pixels
    • RL — DQN Deep Q-network
    • Playing CartPole through Asynchronous Advantage Actor Critic (A3C)
    • Aprendizaje por refuerzo: algoritmo Q Learning.

    Repos

    • DQN examples in PyTorch
    • Twitter
    • GitHub
    • Youtube
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