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RL workshop tutorial

Repo contributors:

Zeming Fang, zemingfang11@gmail.com

Ru-Yuan Zhang, ruyuanzhang@gmail.com

Jieying Zhang, jieying.zhang@student.uva.nl

Getting started

Install Anaconda for later python installation. Open the Terminal (for windows user, please use git bash).

Create a virtual environment

conda create --name rlworkshop python=3.10

Activate the environment

conda activate rlworkshop

Install the dependencies

pip install -r requirements.txt

TOC

  1. Intro to RL

    • Frozen lake environment
    • Policy evaluation
  2. Dynamic Programming and Monte Carlo Methods

    • Policy improvment
    • Value iteration
    • Monte Carlo prediction
  3. Temporal Difference Methods

    • Monte Carlo control
    • Sarsa
    • Q-learning