Presented By O’Reilly and Intel AI
Put AI to Work
April 29-30, 2018: Training
April 30-May 2, 2018: Tutorials & Conference
New York, NY

Deep reinforcement learning’s killer app: Intelligent control in real-world systems

Mark Hammond (Microsoft)
11:05am–11:45am Wednesday, May 2, 2018
Implementing AI
Location: Grand Ballroom West
Average rating: **...
(2.00, 2 ratings)

Who is this presentation for?

  • CIOs, CTOs, directors of innovation, and directors of architecture

Prerequisite knowledge

  • Programming experience

What you'll learn

  • Learn best practices and tips for using deep reinforcement learning in the enterprise
  • Understand the best use cases and industries for applying deep reinforcement learning
  • See two end-to-end demos of building and deploying deep reinforcement learning models


Reinforcement learning is a powerful machine learning technique for solving problems in dynamic and adaptive environments. Combined with a simulation or digital twin, reinforcement learning can train models to automate or optimize the efficiency of industrial systems and processes such as robotics, manufacturing, energy, and supply chain.

But what comes after the simulation? Mark Hammond dives into two real-world case studies to show how deep reinforcement learning successfully automated the machine tuning of a Fortune 500 manufacturing system and optimized energy efficiency of a large-scale HVAC system. Along the way, Mark details the end-to-end process of building, training, and deploying models and examines the business impact of each application.

Photo of Mark Hammond

Mark Hammond


Mark Hammond is cofounder and CEO at Bonsai. Mark has a deep passion for understanding how the mind works. He has been thinking about AI throughout his career, which has included positions at Microsoft and startups such as Numenta and in academia, including a turn in the Yale Neuroscience Department. He holds a degree in computation and neural systems from Caltech.