Hands-on reinforcement learning for games : implementing self-learning agents in games using artificial intelligence techniques
Micheal Lanham (Author)
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 ..
1 online resource (1 volume) : illustrations
9781839216770, 1839216778
1158574887
Table of ContentsUnderstanding Rewards-Based LearningDynamic Programming and the Bellman EquationMonte Carlo MethodsTemporal Difference LearningExploring SARSAGoing Deep with DQNGoing Deeper with DDQNPolicy Gradient MethodsOptimizing for Continuous ControlAll about Rainbow DQNExploiting ML-AgentsDRL Frameworks3D WorldsFrom DRL to AGI