Project Bonsai enables subject matter experts, even those with no AI background, to incorporate their expertise directly into an AI model and teach it how to solve real-world business problems.
This recording showcases how to bring deep reinforcement learning (RL) to practical business applications with AnyLogic and Project Bonsai. In a series of concise and easy-to-follow steps, it demonstrates how an AnyLogic model can be transformed into an RL-ready model and used as the training environment (simulator) in Project Bonsai.
Webinar agenda:
This recording showcases how to bring deep reinforcement learning (RL) to practical business applications with AnyLogic and Project Bonsai. In a series of concise and easy-to-follow steps, it demonstrates how an AnyLogic model can be transformed into an RL-ready model and used as the training environment (simulator) in Project Bonsai.
Webinar agenda:
- Introduction
- Agenda
- Project Bonsai intro
- Reinforcement Learning 101
- AnyLogic and Microsoft collaboration
- Requirements of RL-ready simulation models
- Wrapping an AL model for use on the Project Bonsai platform
- Basics of Inkling - Bonsai's machine teaching language
- Creating a brain in Bonsai
- Training the brain (locally or scaling on Azure)
- Exporting the model and deploying as an Azure app
- Q&A
The models and additional materials, including the connector and documentation, are available on our Project Bonsai page.
