MCTS Learn

Library for solving sequential decision problems with MCTS and ML

Why this?

• Optimisation is often the hard part of real world problems, MCTS + ML can be used as a a black box optimiser. The techniques behind the success of AlphaZero can be leveraged for applied problems!
• We often have a pretty good simulator for the real world which can be leveraged for acting optimally without gathering data
• This framework will not assume that the environment is fully observable or deterministic
• The code is written for any single or multiplayer openai gym environment