Here is our webinar recording and accompanying resources that introduce the key concepts and workflow for using Project Bonsai and AnyLogic simulation together.
The webinar follows AnyLogic and Microsoft joining forces to bring deep reinforcement learning and machine teaching to business applications. Watch the video and try out the example models.
Train AI-agents with simulation. AnyLogic has joined forces with Microsoft to bring the deep reinforcement learning and machine teaching capabilities of Project Bonsai to practical business applications.
Read on, find out more about the collaboration, and try out the platform and demo models. Dive in!
AnyLogic experts at business consulting company firstBit | NFP worked to resolve a crane task distribution problem for a major international metallurgical company. Their innovative solution employed machine learning and improved on an expert selected policy. Read on to learn more about the project.
The simulation model can be found in the cloud and was featured as model of the month December 2019.
Simulation is important for artificial intelligence because it provides solutions to some of the main problems faced by AI developers today. These solutions have immediate potential and are producing results already. Read on and get the whitepaper with example model...
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...
This webinar video demonstrates how the Pathmind platform can ease the introduction of deep reinforcement learning (DRL) capabilities into your AnyLogic projects.
Pathmind enables you to determine optimal policies using the latest DRL code libraries while eliminating the need for complex manual setup and long wait times. See what Pathmind can do...
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!
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.
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.
The AnyLogic Conference 2019 made clear how simulation modeling continues to empower all kinds of industries from all around the world. The exciting progress being made in machine learning and its strengthening relationship with simulation also featured strongly throughout the event.
Here we have gathered the presentations for download and also posted some photos!