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sample-complexity

Here are 4 public repositories matching this topic...

YohannaWANG / CauchyEst

We analyze algorithms to learn Gaussian Bayesian networks with known structure up to a bounded error in total variation distance.

graphical-models causality distribution-learning gaussians sample-complexity

Updated Jul 27, 2021
Python

rssalessio / OSRL-SC

OSRL (Optimal Representation Learning in Multi-Task Bandits) comprises an algorithm that addresses the problem of sample complexity with fixed confidence in Multi-Task Bandit problems. Published at the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI23)

python representation-learning multi-task sample-complexity osrl-sc aaai23

Updated Nov 28, 2022
Python

rssalessio / BestPolicyIdentificationMDP

Python implementation of algorithms for Best Policy Identification in Markov Decision Processes

markov-decision-processes mdps sample-complexity best-policy-identification discounted-mdps klb-ts

Updated Jan 23, 2023
Python

rssalessio / py-lower-bound-bai

Python utilities to compute a lower bound of the expected sample complexity to identify the best arm in a bandit model

bandit-algorithms lower-bound best-arm-identification sample-complexity

Updated Sep 8, 2021
Python

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