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: https://sites.google.com/view/lumsmlw/home

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