introduce the concepts of Machine teaching and how we can use it together with Deep Reinforcement learning to train an intelligent agent for autonomous systems on Microsoft's Project Bonsai.
Simulators: The Key Training Environment for Applied Deep Reinforcement Learning | by Bonsai | Medium
![Building Autonomous Systems with Simulink and Microsoft's Project Bonsai » Artificial Intelligence - MATLAB & Simulink Building Autonomous Systems with Simulink and Microsoft's Project Bonsai » Artificial Intelligence - MATLAB & Simulink](https://blogs.mathworks.com/deep-learning/files/2020/05/2020-05-19_13-13-21-1024x577.png)
Building Autonomous Systems with Simulink and Microsoft's Project Bonsai » Artificial Intelligence - MATLAB & Simulink
Key elements for designing and deploying a successful reinforcement learning-trained AI solution with Microsoft Project
Massimo Tornatore on LinkedIn: GitHub - bonsai-lab-polimi/tnsm2023-deepls: Code repository for the paper…
![Bonsai AI: Using Simulink for Deep Reinforcement Learning | by Cyrill Glockner | Towards Data Science Bonsai AI: Using Simulink for Deep Reinforcement Learning | by Cyrill Glockner | Towards Data Science](https://miro.medium.com/v2/resize:fit:1400/1*bbGP_BZrNMttUg-0A1YCXQ.jpeg)
Bonsai AI: Using Simulink for Deep Reinforcement Learning | by Cyrill Glockner | Towards Data Science
![Machine teaching with Project Bonsai autonomous systems - Azure Architecture Center | Microsoft Learn Machine teaching with Project Bonsai autonomous systems - Azure Architecture Center | Microsoft Learn](https://learn.microsoft.com/en-us/azure/architecture/solution-ideas/media/machine-teaching-1-2.png)
Machine teaching with Project Bonsai autonomous systems - Azure Architecture Center | Microsoft Learn
![Bonsai + TensorFlow: The Value of an Abstraction Layer for Building Industrial AI | by Bonsai | Medium Bonsai + TensorFlow: The Value of an Abstraction Layer for Building Industrial AI | by Bonsai | Medium](https://miro.medium.com/v2/resize:fit:1358/1*Q-RAFDMjW7t9VjZbL1G6MQ.png)