Post Date
Apr 5 2021


Mathematical Introduction to Reinforcement Learning is a 3-Day Workshop which is taking place online from June 9 - 11, 2021, between 11:15 AM - 1:15 PM.


This workshop is being led by Jonathan Shock from the University of Cape Town and, Andreas Matt from Imaginary, Berlin.

To REGISTER and for more information, please follow the link:


The workshop will cover the following topics:

  • Mathematical cover for Data Analysis
  • Machine learning
  • Reinforcement Learning
  • Neural Networks and Deep Learning
  • RL History and Applications
  • Dynamic programming
  • Markov Decision Processes
  • Bellman equation
  • Model free methods
  • TD-learning
  • Q-Learning
  • Eligibility Traces
  • Deep Q-Learning
  • Double DQN
  • Actor Critic Methods
  • Policy methods – Reinforce