Welcome to LA-MCTS’s documentation!

LA-MCTS is a Python library for blackbox optimization. It’s based of paper Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search.

Note

This project is under active development.

Contents:

• Tutorial
• Usage
  • Installation
  • API References
• Benchmark
  • How to Run Benchmarks
  • Test Functions
  • Control Functions
  • Mujuco Policies

Indices and tables

• Index

• Module Index

• Search Page