Sony Group Corporation

Kaushik Subramanian

Peter R Wurman

Kenta Kawamoto

James MacGlashan

Piyush Khandelwal

Samuel Barrett

Rory Douglas

Dion Whitehead

Leon Barrett

Leilani Gilpin

Thomas Walsh

Takuma Seno

Florian Fuchs

Dynamic driving aides, such as driving lines, turn indicators, braking indicators and acceleration indicators, for example, can be provided for players participating in a racing game. Typically, driving lines are provided for each class of cars. However, even within a class of cars, each car differs enough that the ideal driving lines and breaking points can vary. Therefore, with an agent trained via reinforcement learning, an ideal lines and other driving aides can be established for every individual car. These guides can even be varied to account for variations in the weather or other track conditions.

Artificial intelligence for driving lines in racing games

A user interface (UI), for analyzing model training runs, tracking and visualizing various aspects of machine learning experiments, can be used when training an artificial intelligent agent in, for example, a racing game environment. The UI can be web-based and can allow researchers to easily see the status of their experiments. The UI can include an experiment synchronized event viewer that can synchronizes visualizations, videos, and timeline/metrics graphs in the experiment. This viewer allows researchers to see how experiments unfold in great detail. The UI can further include experiment event annotations that can generate event annotations. These annotations can be displayed via the synchronized event viewer. The UI can be used to consider consolidated results across experiments and can further consider videos. For example, the UI can provide a reusable dashboard that can capture and compare metrics across multiple experiments.

User interface for operating artificial intelligence experiments

Growing community of inventors

Metzingen, Germany

Kaushik Subramanian