Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
Train reinforcement learning models faster by using advanced tools and techniques that simplify the process.
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Free · no card · unsubscribe anytimeStreamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
AgileRL has 940 stars on GitHub. It has been forked 76 times. AgileRL is written mainly in Python. It has been in active development since 2023. AgileRL is available under the Apache-2.0 license. Its main topics are agents, agilerl, automl, deep-learning.
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
AgileRL is an open-source project. It is released under the Apache-2.0 license.
Yes. AgileRL is free and open source — you can use, modify and self-host it.
AgileRL is available under the Apache-2.0 license.
AgileRL is written mainly in Python.
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