RL103: From Deep Q-Learning (DQN) to Soft Actor-Critic (SAC) and Beyond

This second blog post continues my practical introduction to (deep) reinforcement learning, presenting the main concepts and providing intuitions to understand the more recent Deep RL algorithms. In a first post (RL102) , I started from tabular Q-learning and worked my way up to Deep Q-learning (DQN). In this second post, I continue on to the Soft Actor-Critic (SAC) algorithm and its extensions.…