Using Unity to Help Solve Intelligence

Understand

In the pursuit of artificial general intelligence, our most significant measurement of progress is an agent's ability to achieve goals in a wide range of environments.

• Existing platforms for constructing such environments are typically constrained by the technologies they are founded on, and are therefore only able to provide a subset of scenarios necessary to evaluate progress.
• To overcome these shortcomings, we present our use of Unity, a widely recognized and comprehensive game engine, to create more diverse, complex, virtual simulations.
• We describe the concepts and components developed to simplify the authoring of these environments, intended for use predominantly in the field of reinforcement learning.