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AnyLogic

Blog

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Don’t try deep reinforcement learning without this

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Don’t try deep reinforcement learning without this

Automated systems have reached their limits and companies wanting to further enhance business processes are turning to artificial intelligence (AI) technologies like machine learning (ML). In an AnyLogic workshop, Microsoft Autonomous Systems Principal Program Manager Kence Anderson explored the advanced decision-making possibilities of ML and showed how Microsoft’s machine teaching concept is achieving faster training times.

The easily accessible workshop session provides a high-level overview of AI’s state of the art with examples from Microsoft and DeepMind research, as well as illustrative Karate Kid analogies.

Webinar follow-up: Simulation Project Life Cycle

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Webinar follow-up: Simulation Project Life Cycle

Building a successful simulation project is a complex endeavor that can lead to failure if proper tools and best practices are not used. The webinar objective was to discuss, for each phase of a project, how to optimize your chances of resolving a business problem you are facing.

This guest blog by Felipe Haro of Noorjax Consulting follows his AnyLogic Project Life Cycle webinar. The webinar goes deep into how best to manage simulation projects and can be found at the foot of the blog. This blog provides simulation project management context and introduces the main themes of the webinar.

Pathmind Reinforcement Learning for Simulation webinar

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Pathmind Reinforcement Learning for Simulation webinar

Pathmind is a platform that enables AnyLogic users to integrate reinforcement learning into their AnyLogic simulations. This webinar demonstrates how to set up Pathmind reinforcement learning in an AnyLogic model and train an AI policy in the Pathmind web application. We also share two example models that showcase how reinforcement learning can outperform baseline heuristics and other optimization tools.

Find out more, see the webinar recording, and learn from the example models.

Pathmind Reinforcement Learning Experiment in AnyLogic 8.7.4

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Pathmind Reinforcement Learning Experiment in AnyLogic 8.7.4

A new experiment in AnyLogic 8.7.4 links to Pathmind’s reinforcement learning (RL) platform, helping simulation modelers and artificial intelligence practitioners lever the synergy between simulation and AI. For large-scale and complex systems, solutions utilizing the Pathmind RL platform are outperforming well-established heuristics.

This blogpost highlights two industrial case studies from Engineering Group that use the Pathmind RL platform and introduces the integrated AnyLogic Pathmind experiment.

Q&A: COVID-19 Mass Vaccination — Simulation, AI Application and Real-World Implementation

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Q&A: COVID-19 Mass Vaccination — Simulation, AI Application and Real-World Implementation

As COVID-19 vaccines have become available, many challenges have needed resolving. Not least, ensuring sufficient supply and effective distribution.

At our webinar, March 2021, guest presenter Dr. Ali Asgary of York University, Canada, gave insight into the development and use of a drive-through mass COVID-19 vaccination simulation. He provided details of its machine learning model and online application, including how public authorities are using the results in their vaccination rollouts. Here are the webinar details, recording, and Q&A answers.