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Using Simulation to Train and Test Artificial Intelligence for Business Applications


Using Simulation to Train and Test Artificial Intelligence for Business Applications

The relationship between simulation and artificial intelligence is increasingly close, especially for deep reinforcement learning. The AnyLogic Company CEO, Dr. Andrei Borshchev, explores this trend in Using Simulation to Train and Test Artificial Intelligence for Business Applications, a presentation given at the GE EDGE & Controls Symposium 2019 in Niskayuna, NY.

Here is a brief summary of the video recording with links. Check it out and see how AI and simulation are developing together...

Video: simulation and reinforcement learning – panel discussion


Video: simulation and reinforcement learning – panel discussion

The concepts and the business case for using simulation with reinforcement learning are highlighted by the panelists as they discuss a series of questions from Dr. Anand Rao, PwC Partner and Global AI Lead. With commercial examples that highlight the successes and the challenges of working with the technologies, the participants demonstrate that simulation and deep reinforcement learning are especially suited.

Here is the recording of the session from the 2019 AnyLogic Conference. It’s not the shortest video on our YouTube Channel but it is interesting and informative – cast it to a big screen if you can! Enjoy!

An industrial problem resolved by AI and simulation


An industrial problem resolved by AI and simulation

A short blog presenting an industrial problem and its reinforcement learning solution, made using AnyLogic and developed by EII. The flexibility and customizability of AnyLogic allowed the use of RL4J to create a hybrid platform.

Read on, find out about the problem and see how to train learning agents by letting them interact with an AnyLogic environment. You will also learn the techniques used to formulate the industrial problem in a way fit for machine learning.

Webinar: How to train a policy for controlling a machine (using simulation and deep reinforcement learning)


Webinar: How to train a policy for controlling a machine (using simulation and deep reinforcement learning)

The How to train a policy for controlling a machine webinar demonstrated the use of a simulation environment in deep reinforcement learning. The recording is available below, along with the supplementary materials – so you can try it out for yourself and explore some of the possibilities.

The materials above in combination with the video recording of the webinar cover everything that is needed to reproduce the entire training setup.

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