Deep Reinforcement Learning in Unity

Gain an in-depth overview of reinforcement learning for autonomous agents in game development with Unity.

This book starts with an introduction to state-based reinforcement learning algorithms involving Markov models, Bellman equations, and writing custom C# code with the aim of contrasting value and policy-based functions in reinforcement learning. Then, you will move on to path finding and naviga...