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01/08/2020
HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline
Prior research in resource scheduling for machine learning training work...
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11/30/2019
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks
The practical usage of reinforcement learning agents is often bottleneck...
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07/13/2018
Tune: A Research Platform for Distributed Model Selection and Training
Modern machine learning algorithms are increasingly computationally dema...
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12/26/2017
Ray RLLib: A Composable and Scalable Reinforcement Learning Library
Reinforcement learning (RL) algorithms involve the deep nesting of disti...
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12/16/2017
Ray: A Distributed Framework for Emerging AI Applications
The next generation of AI applications will continuously interact with t...
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11/04/2017
