Advanced · Research
Darkforest
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. Darkforest is a computer Go program developed by Facebook, using deep learning and convolutional neural networks in its design.
Technical Definition
Darkforest is a computer Go program developed by Facebook, using deep learning and convolutional neural networks in its design.
How it works
Darkforest is a sophisticated computer program developed by Facebook for playing the board game Go. It initially utilized deep learning with convolutional neural networks and was later enhanced with Monte Carlo Tree Search (MCTS) in its successor, Darkfores2. This combination of techniques allowed it to achieve high performance in the complex game of Go.
Related Concepts
- Convolutional Neural Network (CNN) — A neural network that uses learnable filters to detect spatial patterns like edges, textures, and objects in images.
- Deep Learning — A subset of machine learning using neural networks with many layers to learn hierarchical representations from large datasets.
- Monte Carlo tree search — A heuristic search algorithm used in decision processes, particularly in games, that balances exploration and exploitation using random sampling.