Book

Hands-On Reinforcement Learning for Games

The AI revolution is here and it is embracing games. Game developers are being challenged to enlist cutting edge AI as part of their games. In this book, you will look at the journey of building capable AI using reinforcement learning algorithms and techniques. You will learn to solve complex tasks and build next-generation games using a practical approach.

Offered byPackt Logo

Difficulty Level
Intermediate
Completion Time
14h24m approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 14h24m total length

1. Understanding Rewards-Based Learning
2. Dynamic Programming and the Bellman Equation
3. Monte Carlo Methods
4. Temporal Difference Learning
5. Exploring SARSA
6. Going Deep with DQN
7. Going Deeper with DDQN
8. Policy Gradient Methods
9. Optimizing for Continuous Control
10. All about Rainbow DQN
11. Exploiting ML-Agents
12. DRL Frameworks
13. 3D Worlds
14. From DRL to AGI

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