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The official ACM AI "Deep Reinforcement Learning" repository.

Description: Join us for an immersive workshop on Deep Reinforcement Learning (DRL), a cutting-edge approach for solving complex decision-making problems that is revolutionizing artificial intelligence. This workshop and repository will provide participants with a comprehensive understanding of the fundamental concepts, techniques, and applications of Deep RL.

We will cover the following set of topics:

  1. Reinforcement Learning Framework
    • Types of Tasks
    • Exploration and Exploitation
    • 2 Main Approaches for solving problems with RL
  2. From Q-Learning to Deep Q-Learning
    • Q-Learning Algorithm
    • Q-Learning Example
    • Deep Q-Network (DQN)
    • Deep Q Algorithm
    • Deep Q-Network Example
  3. Beyond Deep Q-Learning
    • Overview of popular Deep RL algorithms
    • Successful (and un-successful) Applications of Deep RL
    • Open problems in Deep RL Research

1. Workshop Video

Will be added as soon as uploaded to YouTube

2. File Directory Structure

deep-rl
    | -- figures
        | -- Default_Header_Dark.png
        | -- Default_Header_Light.png
    | -- src
    | -- README.md

3. Getting Started

To Be Updated!

4. Resources

5. Author Info