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Get your hard hat: Intelligent industrial systems with deep reinforcement learning

This will be presented in English.

Mark Hammond (Bonsai)
09:0509:20 Friday, April 13, 2018
英文讲话 (Presented in English)
Location: 紫金大厅A(Grand Hall A)
Secondary topics:  制造业与工业自动化 (Manufacturing and Industrial Automation), 增强学习(Reinforcement Learning)


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.

Mark Hammond explores a wide breadth of real-world applications of deep reinforcement learning, including robotics, manufacturing, energy, and supply chain. Mark also shares best practices and tips for building and deploying these systems, highlighting the unique requirements and challenges of industrial AI applications.


Mark Hammond将会探索广泛的真实世界里使用深度增强学习的应用案例,包括机器人、制造业、能源和供应链行业等。Mark还会分享构建和部署这些系统的最佳实践和窍门,并强调工业人工智能系统所独有的需求和挑战。

Photo of Mark Hammond

Mark Hammond


Some are cognitive scientists; others are computer scientists and engineers. Mark Hammond is a cognitive entrepreneur bringing together both fields along with business acumen. He has a deep passion for understanding how the mind works, combined with an understanding of own human nature, and turns that knowledge into beneficial applied technology. As the founder and CEO of Bonsai, Mark is enabling AI for everyone. Mark has been programming since the first grade and started working at Microsoft as an intern and contractor while still in high school. He has held positions at Microsoft and numerous startups and in academia, including turns at Numenta and in the Yale Neuroscience Department. He holds a degree in computation and neural systems from Caltech.

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