Applied game AI technologies

The game

Contents:

• Preface
  • The game

Automaton

• State Machine

Path Finding

• Dijkstra’s algorithm
• A* algorithm
• Navmesh

PLANNING

Planning is the process of thinking about the activities required to achieve the desired goal. It involves the creation and maintenance of a plan, such as psychological aspects that need conceptual skills. It touches at least the following faces:

• Goal Oriented

• Pervasive

• Continuous Activity

• Intellectual process

• Futuristic

• Decision making

• Managerial Function

• Stanford Reseach Institute Problem Solver
• Behavior Tree
  • Unreal Engine Behavior Tree
• Environment Query System
  • Generators
  • Contexts
  • Tests
• GOAP
• Hierarchical Task Network
  • TAEMS
• Utility-based method

Parallel Computing

• CUDA
  • Thrust

Machine Learning

• Stochastic Gradient Descent
  • Iterative learning
  • Example
  • Momentum
  • AdaGrad
  • RMSProp
  • Adam
• Backpropagation
• Deep Learning Platform
• Reinforcement Learning
  • Deep Reinforcement Learning
• RLlib
  • Polices
  • Sample Batches
  • Training
  • Customization
  • The Trajectory View API
  • Training
  • Customization
  • Tune
• Generative Adversarial Imitation Learning (GAIL)
• Auxiliary Classifier GANs
• The Transformer
  • A Basic Approach to the Encoder-Decoder Model
  • The Attention Mechanism
  • The alignment vector
  • The context Vector
• PolyGen

Suffixes

• Glossary