formidablae/Batched_Multi-armed_Bandits

Batched Multi-armed Bandits Problem - Analisi critica. Artificial Intelligence Course Project on the study and experimental results' analysis of a scientific paper.

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Experimental

This project offers an analysis and experimental results of the Batched Multi-armed Bandits Problem, a technique for sequential decision-making. It takes in various datasets and applies strategies to assess their effectiveness in scenarios where you make a series of choices to maximize a reward, providing insights into which strategies perform best. This is ideal for researchers and practitioners working on optimization and decision-making under uncertainty.

No commits in the last 6 months.

Use this if you are a researcher or AI student interested in understanding and evaluating different strategies for 'batched multi-armed bandit' problems.

Not ideal if you are looking for a plug-and-play solution for real-time decision-making without a background in AI research.

AI-research decision-theory optimization machine-learning-research experimental-design
No License Stale 6m No Package No Dependents
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Adoption 4 / 25
Maturity 8 / 25
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Python

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Last pushed

Jan 29, 2022

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