Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
AgileRL is initially focused on reducing the time taken for training models and hyperparameter optimization (HPO) by pioneering evolutionary HPO techniques for reinforcement learning. Evolutionary HPO has been shown to drastically reduce overall training times by automatically converging on optimal hyperparameters, without requiring numerous training runs. We are constantly adding more algorithms, with a view to add hierarchical and multi-agent algorithms soon.
This release includes the following updates:
Plenty more features coming soon!