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Master Thesis: Reinforcement Learning for Optimizing Compute Clusters

Master Thesis: Reinforcement Learning for Optimizing Compute Clusters

Main Contributions * Generalization of Q-learning to multi-objective environments * Implementation of a proof-of-concept on synthetic examples * Dashboard visualization of performance over time Preview Abstract Hyperparameter tuning of complex systems is a problem that relies on many decision-making algorithms and hand-crafted heuristics. Developers are often called upon to tune these hyperparameters by

By Yann HOFFMANN