While browsing on the Spinning Up Open AI website, I was intrigued by the concept of Distributional Reinforcement Learning. What is it and what does it bring to the RL galaxy? Here, I expose the issues I faced when I implemented it and applied quantile regression DQN to Atari games.
This summer, I wanted to take part in a Kaggle competition. This post is about the lessons I acquire from this adventure of 3 months to rank in the top 10%.