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Easier and faster reinforcement learning with RLOps1-10 Employees
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Easier and faster reinforcement learning with RLOps
AgileRL is on a mission to democratise access to reinforcement learning for building human-level artificial intelligence systems. We have just raised a £1.5 million round from Octopus Ventures and Counterview Capital.

AgileRL is creating an enterprise-grade reinforcement learning operations (RLOps) platform and a state-of-the-art open-source framework to reduce the barriers to entry. Our framework (github.com/AgileRL/AgileRL) has already achieved 10x faster training and hyperparameter optimisation than leading RL libraries. Our RLOps platform, built on top of our open-source framework, is focused on four key areas - simulation, training, deployment and monitoring.
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Nicholas Ustaran-Anderegg
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Final year Biomedical Engineering MEng student looking for graduate role. Predicted degree class: First
Param Kumar
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Valuation

$0

Funded over

1 round

Latest round

Pre-Seed (Aug 2023)

Enhanced parental leave

Flexible working from home and 6 month remote working

30 days of holiday plus bank holidays

Learning budget for books, training courses and conferences

Monthly and quarterly socials

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