Reinforcement Learning - Windows server administration

Question

Hi Team,
Greetings!!!

I have been looking for use cases that can be addressed using Reinforcement Learning(RL) agent by Machine learning. Would you please share some business use cases?
One of the example is clearing/archiving log files, when it expands. Agent will reward(1) or punish(0) based on the action taken by the system. Over a period of time, system will learn by itself and apply the solution based on reward points.

Thanks
Dinesh

Answer 1

@DineshSundaram-9074 Thanks for the question. We are seeing 3rd party enterprise customers train reinforcement learning agents on up to 512 cores or running their training over multiple days. In practice, it can take millions of trial runs to train an agent. These trial runs happen automatically, rapidly in parallel and the system continuously learns and improves. Azure Machine Learning uses the Ray framework to distribute reinforcement learning training to support large scale training.

Please follow the below GitHub samples for RL.
You can train your own reinforcement learning agents using Azure Machine Learning using the following resources.
• How to: reinforcement learning with Azure Machine Learning
• Github samples
• AI Show: introductory video
Video interview Microsoft Research