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    Cutting-Edge AI: Deep Reinforcement Learning in Python

    BY
    Udemy

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    Mode

    Online

    Fees

    ₹ 2799

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study
    Mode of Delivery Video and Text Based

    Course and certificate fees

    Fees information
    ₹ 2,799
    certificate availability

    Yes

    certificate providing authority

    Udemy

    The syllabus

    Welcome

    • Introduction
    • Outline
    • Where to get the code

    Review of Fundamental Reinforcement Learning Concepts

    • Review Section Introduction
    • The Explore-Exploit Dilemma
    • Markov Decision Processes (MDPs)
    • Monte Carlo Methods
    • Temporal Difference Learning (TD)
    • OpenAI Gym Warmup
    • Review Section Summary
    • Suggestion Box

    A2C (Advantage Actor-Critic)

    • A2C Section Introduction
    • A2C Theory (part 1)
    • A2C Theory (part 2)
    • A2C Theory (part 3)
    • A2C Demo
    • A2C Code - Rough Sketch
    • Multiple Processes
    • Environment Wrappers
    • Convolutional Neural Network
    • A2C
    • A2C Section Summary

    DDPG (Deep Deterministic Policy Gradient)

    • DDPG Section Introduction
    • Deep Q-Learning (DQN) Review
    • DDPG Theory
    • MuJoCo
    • DDPG Code (part 1)
    • DDPG Code (part 2)
    • DDPG Section Summary

    ES (Evolution Strategies

    • ES Section Introduction
    • ES Theory
    • Notes on Evolution Strategies
    • ES for Optimizing a Function
    • ES for Supervised Learning
    • Flappy Bird
    • ES for Flappy Bird in Code
    • ES for MuJoCo in Code
    • ES Section Summary

    Setting Up Your Environment (FAQ by Student Request)

    • Anaconda Environment Setup
    • How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow

    Extra Help with Python Coding for Beginners (FAQ by Student Request)

    • How to Code by Yourself (part 1)
    • How to Code by Yourself (part 2)
    • Proof that using Jupyter Notebook is the same as not using it
    • Python 2 vs Python 3

    Effective Learning Strategies for Machine Learning (FAQ by Student Request)

    • How to Succeed in this Course (Long Version)
    • Is this for Beginners or Experts? Academic or Practical? Fast or slow-paced?
    • Machine Learning and AI Prerequisite Roadmap (pt 1)
    • Machine Learning and AI Prerequisite Roadmap (pt 2)

    Appendix / FAQ Finale

    • What is the Appendix?
    • BONUS Lecture

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