A Friendly Introduction to Deep Reinforcement Learning, Q-Networks and Policy Gradients

This video provides a friendly conceptual introduction to deep reinforcement learning, covering Markov decision processes, rewards, Bellman equations, Q-networks, deterministic and stochastic policies, and policy gradients. Examples and figures illustrate how neural networks approximate values and policies.