PhoenixGo is a Go-playing AI agent that replicates the AlphaGo Zero paper’s approach, using deep neural networks trained via self-play reinforcement learning. The system employs Monte Carlo Tree Search guided by neural network evaluations for move selection. It supports GPU acceleration using CUDA, cuDNN, and TensorRT, and was the 2018 World AI Go Tournament champion.