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    Reinforcement Learning with Pytorch

    BY
    Udemy

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    Mode

    Online

    Fees

    ₹ 449 2299

    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
    ₹ 449  ₹2,299
    certificate availability

    Yes

    certificate providing authority

    Udemy

    The syllabus

    Welcome to the course

    • Welcome!
    • Before you start - Videos quality!
    • Resources

    Introduction

    • Introduction #1
    • Introduction #2
    • Introduction #3
    • Introduction #4
    • Environment setup / Installation
    • Lab. OpenAI Gym #1
    • Lab. OpenAI Gym #2
    • Lab. OpenAI Gym #3
    • Lab. OpenAI Gym #4

    Tabular methods

    • Deterministic & Stochastic environments
    • Rewards
    • Bellman equation #1
    • Bellman equation #2
    • Resource - code
    • Lab. Algorithm for deterministic environments #1
    • Lab. Algorithm for deterministic environments #2
    • Lab. Algorithm for deterministic environments #3
    • Lab. Algorithm for deterministic environments #4
    • Lab. Test with stochastic environment
    • Q-Learning
    • Lab. Algorithm for stochastic environments
    • Exploration vs Exploitation
    • Lab. Egreedy
    • Lab. Adaptive egreedy
    • Bonus Lab. Value iteration
    • Homework
    • Homework. Solution
    • Homework. Tuning

    Scaling up

    • Scaling up
    • Neural Networks review
    • Lab. Neural Networks review #1
    • Lab. Neural Networks review #2
    • Lab. Random CartPole
    • Lab. Epsilon egreedy revisited
    • Lab. Pytorch updated ( version 0.4.0 )
    • Article. Pytorch updated! (further versions)
    • Lab. OpenAI Gym + Neural Network #1
    • Lab. OpenAI Gym + Neural Network #2
    • Lab. OpenAI Gym + Neural Network #3
    • Lab. Extended logging

    DQN

    • Deep Reinforcement Learning
    • Lab. Deep Reinforcement Learning
    • Lab. Tuning challenge
    • Experience Replay
    • Lab. Experience Replay #1
    • Lab. Experience Replay #2
    • Lab. Experience Replay #3
    • DQN
    • Lab. DQN

    DQN Improvements

    • Double DQN
    • Lab. Double DQN
    • Dueling DQN
    • Lab. Dueling DQN
    • Lab. Dueling DQN Challenge

    DQN with video output

    • CNN Review
    • Lab. Random Pong
    • Saving & Loading the Model
    • Lab. Pong from video output #1
    • Lab. Pong from video output #2
    • Lab. Pong from video output #3
    • Lab. Pong from video output #4
    • Lab. Pong from video output #5
    • Lab. Pong from video output #6
    • Potential improvements
    • Article. Stacking 4 images together

    Final notes

    • What's next?

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