Name: CYBORG: Cognitive Systems, Bandits, and Optimization Research Group
Type: Organization
Bio: We focus on bandit problems, reinforcement learning, data science for personalized medicine, multi-agent systems, stream mining, and influence maximization.
Location: Bilkent University, Ankara
Blog: http://cyborg.bilkent.edu.tr
CYBORG: Cognitive Systems, Bandits, and Optimization Research Group's Projects
Implementation of the Adaptive Contextual Combinatorial Upper Confidence Bound (ACC-UCB) algorithm for the contextual combinatorial volatile multi-armed bandit setting.
Implementation of Adaptive-epsilon-pal algorithm for Pareto active learning of black-box functions with expensive evaluations
Official implementation of Online Context-Aware Task Assignment in Mobile Crowdsourcing via Adaptive Discretization
Implementation of the FeedBack Adaptive Learning (FeedBAL) algorithm for the episodic multi-armed bandit (eMAB) setting.
Implementations of PF-LEX, OM-LEX, and NOM-LEX for the multi-armed bandit with lexicographically ordered objectives (Lex-MAB).
Code for "Learning the Pareto Set Under Incomplete Preferences: Pure Exploration in Vector Bandits"
Implementation of Robust Pareto Set Identification algorithm for multi-objective bandit setting with contaminated bandit feedback
Code for "Robust Bayesian Satisficing"
Implementation of Contextual Combinatorial Multi-output GP Bandits with Group Constraints
Vector Optimization with Active Learning
Simulation code for AISTATS 2023 paper titled "Vector Optimization with Stochastic Bandit Feedback".
Code for "Vector Optimization with Gaussian Process Bandits"