Introduction to (Deep) Reinforcement Learning

Here are the exercises for the first/second session of our RL course.

Requirements

Create a virtual environment, with python or conda, e.g.

conda create -n rl python=3.8

Then, update your pip!

pip install --upgrade pip

Now you can install the required packages which are listed in requirements.txt, for example by

pip install -r requirements.txt

Presentation

The presentation of the course can be found here.

Some references

The old testament bible, God him/her/theirselves.

Deep Reinforcement Learning, Sergey Levine.

Introduction to Reinforcement Learning, David Silver.

Reinforcement Learning Virtual School, 2021.

Finally, the real bible!

Some places to go

OpenAI Gym environments a collection of RL Hello worlds environments.

Stable Baselines is a set of improved implementations of Reinforcement Learning (RL) algorithms based on OpenAI Baselines. You can find good papers here!

RLlib is an open-source library for reinforcement learning.