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Product Delivery Reinforcement Learning


Product Delivery Reinforcement Learning

Accenture partnered with San Francisco based AI company Pathmind to investigate the potential of new reinforcement learning (RL) opportunities in simulation.

The results obtained were extremely good. The method produced a waiting time more than 4x shorter than the Nearest Agent heuristic.

In this blog, Agustin Albinati summarizes the model, introduces the three key considerations when defining the neural net, and presents the results of his team's investigations. Linked at the end of the blog is a step by step how-to with Pathmind. Read on!

Predictive Analytics using simulation models


Predictive Analytics using simulation models

In this article, we introduce the broad field of predictive analytics, its connection with machine learning, and how simulation works as a predictive analytics technology.

Why use predictive analytics? Good question. Predictive analytics is about making forecasts based on historical data. Practitioners analyze past events with statistical algorithms and machine learning techniques to produce probabilities and predictions for systems in the future. Almost everyone is subject to and may benefit from predictive analytics. Learn more...

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!

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