Tag: reinforcement learning
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One Simple Chart: Demand for Reinforcement Learning Holds Steady
Late last year I started running into more companies using reinforcement learning (RL). Inspired by some of the things I was hearing about, early this year I wrote about emerging RL use cases in simulation &…
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One Simple Chart: which sectors are using reinforcement learning
Interest in reinforcement learning has grown steadily over the last decade. In a recent post, I described emerging applications of RL in recommendation and personalization systems, and in business simulation and optimization. In this post, I…
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Understanding the Ray ecosystem and community
Ray is both a general purpose distributed computing platform and a collection of libraries targeted at machine learning and other workloads. By Ben Lorica and Ion Stoica. [This post originally appeared on the Anyscale blog.] Ray…
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Enterprise Applications of Reinforcement Learning: Recommenders and Simulation Modeling
[This post originally appeared on the Anyscale blog.]
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Building accessible tools for large-scale computation and machine learning
[A version of this post appears on the O’Reilly Radar.] In this episode of the Data Show, I spoke with Eric Jonas, a postdoc in the new Berkeley Center for Computational Imaging. Jonas is also affiliated…
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Notes from the first Ray meetup
[A version of this post appears on the O’Reilly Radar.] Ray is beginning to be used to power large-scale, real-time AI applications. Machine learning adoption is accelerating due to the growing number of large labeled data sets,…
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Unleashing the potential of reinforcement learning
[A version of they post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Danny Lange on how reinforcement learning can accelerate software development and how it can be democratized. In this episode of the…
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Machine learning needs machine teaching
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Mark Hammond on applications of reinforcement learning to manufacturing and industrial automation. In this episode of the Data Show, I spoke…
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Introducing RLlib: A composable and scalable reinforcement learning library
[A version of this post appears on the O’Reilly Radar.] RISE Lab’s Ray platform adds libraries for reinforcement learning and hyperparameter tuning. In a previous post, I outlined emerging applications of reinforcement learning (RL) in industry.…
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Practical applications of reinforcement learning in industry
[A version of this post appears on the O’Reilly Radar.] An overview of commercial and industrial applications of reinforcement learning. The flurry of headlines surrounding AlphaGo Zero (the most recent version of DeepMind’s AI system for…