Advanced Topics in Reinforcement Learning

Graduate courses that I taught at the Department of Electrical Engineering and Computer Science, Technische Universität Berlin, in the semesters of Summer 2018, Summer 2022, Winter 2022

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There are many great online resources available for learning about reinforcement learning. Here are a few to get you started.

• A (Long) Peek into Reinforcement Learning

• Spinning Up in Deep RL

• David Silver’s RL course at UCL

Machine Learning

A basic understanding of machine learning is a great first step to dive deeper into the field.

• Machine Learning
• Deep Learning

Books

• Sutton & Barto’s RL book

• Dimitri P. Bertsekas’ books

Coding

• Coding PPO from Scratch with PyTorch

• The 37 Implementation Details of Proximal Policy Optimization

Seminars

• 🌟Here is a compilation of recent machine learning papers focused on safe reinforcement learning, spanning from 2017 to 2022.

• 🌟Reimplementing Safe RL Algorithms

• Suggestions for preparing a seminar presentation

  • How to Speak by Patrick Winston
  • Presenting at Journal Club by Constantinos Timinis & Simone Foti
  • How to Create a Distill Article?
  • How to ML paper
  • An Opinionated Guide to ML Research