Welcome to Search-and-Optimization’s documentation!

• Search and Optimization
• Welcome
• Table of Contents
• Requirements
• How to use
• Algorithms
  • Descent Method
    • Gradient Descent
    • Newton’s Method
    • Conjugate Descent
    • Comparison of Descent Methods
  • Stochastic Search
    • Simulated Annealing
    • Cross Entropy Methods
    • Search Gradient
  • Path Search
    • A* Search
    • RRT
    • Minimax Search
  • Markov Decision Process
    • Value Iteration
    • Policy Iteration
    • Comparison of Value and Policy Iteration
  • MDP with Unknown Environment
    • Monte Carlo Policy Evaluation
    • Temporal Difference Policy Evaluation
    • Tabular Q-Learning
    • Deep Q-Learning
  • Monte-Carlo Tree Search

Indices and tables

• Index

• Module Index

• Search Page