Tag Archives: McGill

Reinforcement Learning introduction by example

A group of McGill students have created a brilliant short video introducing the basic ideas behind Reinforcement Learning (RL) and one of the most popular RL algorithms known as Q-learning. Using a hypothetical bartender robot named Shaker, the video explains how an agent learns to act from interactions with his environment and a reward/punishment system.… Read More »