Automating Cyber-Security with Reinforcement Learning
An investigation of how reinforcement learning is impacting cyber-security and how businesses can proactively test for security with automated agents.
Dr. Phil Winder
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7 minArticles in this topic
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Dr. Phil Winder
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7 min
CloudNativeX Interview: Reinforcement Learning
Join Lee Razo and Phil Winder for this comprehensive introduction to Reinforcement Learning, an area of machine learning in which problems are tackled with …
The Future of Transportation Infrastructure: Reinforcement Learning
An investigation in to the proven uses of reinforcement learning for transportation and associated infrastructure.
Dr. Phil Winder
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7 min
InfoQ Podcast: Phil Winder on the History, Practical Application, and Ethics of Reinforcement Learning
InfoQ · Phil Winder on the History, Practical Application, and Ethics of Reinforcement Learning Charles Humble, friend and editor of InfoQ, was kind enough to …
Solving Three Common Manufacturing Problems with Reinforcement Learning
Discover how reinforcement learning can be used to solve three common manufacturing problems.
Dr. Phil Winder
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5 min
Inventory Control and Supply Chain Optimization with Reinforcement Learning
Discover how reinforcement learning can be used to solve inventory control and supply chain management problems.
Dr. Phil Winder
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6 min
DataTalksClub - Industrial Applications of Reinforcement Learning
Reinforcement learning (RL), a sub-discipline of machine learning, has been gaining academic and media notoriety after hyped marketing “reveals” of agents …
GOTO Book Club: How to Leverage Reinforcement Learning
In this episode of GOTO’s book club I speak to Rebecca Nugent, Feinberg professor of statistics and data science at Carnegie Mellon univeristy. We talk, …
A Code-Driven Introduction to Reinforcement Learning
In this presentation I present a code-driven introduction to RL, where you will explore a fundamental framework called the Markov decision process (MDP) and learn how to build an RL algorithm to solve it.
A Comparison of Reinforcement Learning Frameworks
A comparison of Reinforcement Learning frameworks focusing on modularity, ease of use, flexibility and maturity by Phil Winder
Dr. Phil Winder
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