This is the code repository for the paper "Identification of the Generalized Condorcet Winner in Multi-dueling Bandits" (NeurIPS 2021).

Last update: Oct 03, 2022

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Deep Learning GCWidentification

Overview

Code Repository for the Paper

"Identification of the Generalized Condorcet Winner in Multi-dueling Bandits"

   (To appear in: Proceedings of NeurIPS2021)

The code is written in Python 3.7.

You can cite our paper as follows:

@inproceedings{Haddenhorst2021,
  title={Identification of the Generalized Condorcet Winner in Multi-dueling Bandits},
  author={Haddenhorst, Bj{\"o}rn and Bengs, Viktor and H{\"u}llermeier, Eyke},
  booktitle = {Proceedings of Advances in Neural Information Processing Systems 34 (NeurIPS 2021)},
  year={2021},
}

Requirements

To install requirements:

pip install -r requirements.txt

Evaluation

(A) To obtain the evaluation results of the algorithms, uncomment the corresponding code in "Neurips2021_experiments.py" and execute it.
(B) To repeat the empirical comparison of the two lower bounds (Prop. 4.1 and Thm 5.2) for the single bandit case (m=k), simply execute "NeurIPS_LB_comparison.py".

Results

After repeating all experiments in (A), the results shown in the tables are written saved the following files

TABLE(S)	FILE
2	Experiment_PW_m5.txt
3,6,7	Experiment1_m5_gamma_005.txt
3,6,7	Experiment1_m10_gamma_005.txt
4	Experiment_PW_m10.txt
5	Experiment_PW_PWData.txt
6,7	Experiment1_m15_gamma_005.txt
6,7	Experiment1_m20_gamma_005.txt
8	Experiment_DKWT_vs_algo5_v1.txt
9	Experiment_DKWT_vs_algo5_v2.txt

The results for (B) are only shown in the terminal and not saved to any file.

In case of any questions, please contact Björn Haddenhorst ([email protected]).

This is the code repository for the paper "Identification of the Generalized Condorcet Winner in Multi-dueling Bandits" (NeurIPS 2021).

Related tags

Overview

Code Repository for the Paper

"Identification of the Generalized Condorcet Winner in Multi-dueling Bandits"

Requirements

Evaluation

Results

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