Reinforcement Learning C++ ( RLCPP )

Introduction

• RLCPP project uses a model-based training that is similar to alpha-zero to teach an agent to play perfect information 2 players zero-sum environments, supported environments are :

  • Tic Tac Toe
  • Othello
  • Damma
  • English Draughts
  • Walls ( custom environment did not know the original name )

Requirements

• MSVC Compiler ( on windows )
• cmake
• CUDA 11.8 ( If you have cuda device)
• cuDNN tools (If you have cuda device) (v8.5.0.96 used)
• Libtorch 2.2.1