‘A Glance at Q-Learning' is an introductory talk covering reinforcement learning concepts and the Q-Learning algorithm. The talk also takes a closer look at the groundbreaking 2013 DeepMind Atari paper as well as a Python project to model & control energy systems.
Bio: Adam is an energy engineer with a mission to decarbonise the supply of heat and electricity. Machine learning can help to achieve this mission. Adam has historically used linear programming to optimize energy systems and is now excited about the potential of reinforcement learning.
Resources: Presentation slides