Covers the basics of reinforcement learning, including Markov Decision Processes and policy gradient methods, and explores real-world applications and recent advances.
Delves into simulation games, replicating real-life scenarios in a risk-free and enjoyable manner, covering various types and the balance between realism and playfulness in game development.
