Project Alexandria: Using AI to build a knowledge base fit for humans
Imagine a technology that can automatically discover every single project, team, event, product and process inside an organization – and keep these up to date as the organisation evolves and changes. This is what we…
Dense Gradient Tree
This repository houses the supporting code for the paper Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent. The Dense Gradient Tree (DGT) technique supports learning decision trees of a given height for…
A game-theoretic approach to provably correct and scalable offline RL
Despite increasingly widespread use of machine learning (ML) in all aspects of our lives, a broad class of scenarios still rely on automation designed by people, not artificial intelligence (AI). In real-world applications that involve…
Code Intelligence
Apply AI techniques for software engineering Code intelligence project aims to leverage AI techniques to help software developers improve the productivity of the development process. We focus on building large-scale pre-trained models to understand and…