DeepMind Research is a repository of implementations and illustrative code accompanying DeepMind publications.
The repository serves researchers who want to understand and build upon DeepMind's published work by providing reference implementations, working code examples, and experimental environments. Rather than publishing papers alone, DeepMind releases the actual code used in research alongside the publications, enabling others to reproduce results, verify findings, and extend the work. The repository contains implementations of specific algorithms like Deep Q-Network and Differential Neural Computer, as well as access to research environments such as DeepMind Lab and StarCraft II integration, allowing researchers to experiment in the same settings DeepMind used.
This repository suits researchers and practitioners who want to study state-of-the-art machine learning and reinforcement learning techniques with working reference implementations. It is particularly valuable for those building on DeepMind's algorithmic contributions or conducting experiments in complex environments. The collection spans multiple research areas and algorithmic approaches, so it functions more as a curated archive of diverse implementations than a single focused tool. Researchers should expect to find code tied to specific papers rather than a unified framework or library.
The project maintains a collection of implementations across different research areas, with code organized around individual publications and research projects. The repository accepts contributions that align with DeepMind's research output and publication strategy.
