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Awesome GitHub RepositoriesDistributed Tuning Orchestrators
Systems that coordinate hyperparameter optimization trials across multiple distributed jobs using shared databases.
Distinct from Hyperparameter Optimizers: Focuses on the distributed execution and coordination of trials rather than the tuning algorithms themselves
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Awesome Distributed Tuning Orchestrators GitHub Repositories
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- dlr-rm/rl-baselines3-zoo
DLR-RM/rl-baselines3-zoo
2,725Auf GitHub ansehenThis project is a collection of pretrained reinforcement learning agents and training scripts built on Stable Baselines3 and Gymnasium. It provides a framework for training agents to solve specific tasks, managing experiment reproducibility, and deploying pretrained models. The system includes a specialized benchmarking suite and optimization tools for tuning agent settings. It utilizes automated search spaces and distributed trials to maximize performance, while employing bootstrap sampling to generate statistically robust performance metrics and confidence intervals. Broad capabilities cov
Runs hyperparameter optimization trials across multiple distributed jobs using a shared database to accelerate search.
Pythondeep-reinforcement-learninggymhyperparameter-optimization
