Simulated Spotify Listening Experiences for Reinforcement Learning with TensorFlow and TF-Agents

Introduction

Many of our music recommendation problems involve providing users with ordered sets of items that satisfy users’ listening preferences and intent at that point in time. We base current recommendations on previous interactions with our application and, in the abstract, are faced with a sequential decision making process as we continually recommend content to users.

Reinforcement Learning (RL) is an established tool …

agents ai current documentation introduction joseph keras learn machine learning music recommendation recommendations reinforcement reinforcement learning spotify tensorflow tensorflow agents tfx