bilkent-cyborg Goto Github PK

acc-ucb

Implementation of the Adaptive Contextual Combinatorial Upper Confidence Bound (ACC-UCB) algorithm for the contextual combinatorial volatile multi-armed bandit setting.

adaptive-epsilon-pal

Implementation of Adaptive-epsilon-pal algorithm for Pareto active learning of black-box functions with expensive evaluations

aom-mc

Official implementation of Online Context-Aware Task Assignment in Mobile Crowdsourcing via Adaptive Discretization

escada

feedbal

Implementation of the FeedBack Adaptive Learning (FeedBAL) algorithm for the episodic multi-armed bandit (eMAB) setting.

lex-mab

Implementations of PF-LEX, OM-LEX, and NOM-LEX for the multi-armed bandit with lexicographically ordered objectives (Lex-MAB).

oclok-ucb

paveba

Code for "Learning the Pareto Set Under Incomplete Preferences: Pure Exploration in Vector Bandits"

r-psi

Implementation of Robust Pareto Set Identification algorithm for multi-objective bandit setting with contaminated bandit feedback

robos

Code for "Robust Bayesian Satisficing"

sale-lts

tcgp-ucb

Implementation of Contextual Combinatorial Multi-output GP Bandits with Group Constraints

vectoptal

Vector Optimization with Active Learning

vector-optimization-aistats-2023

Simulation code for AISTATS 2023 paper titled "Vector Optimization with Stochastic Bandit Feedback".