Representation transfer for sequential multitask linear bandits

This repository is the official implementation of Competitive Ratio and its application in Sequential Representation Learning for Multi-Task Linear Bandit

Requirements

Python 3.10

git clone https://github.com/duongnhatthang/BOSS.git
cd BOSS
pip install -r requirements.txt

Evaluation

Interactive Notebook

Results

Our algorithm achieves the following performance on a synthetic dataset:

Regret over tasks	Estimation error of B	Estimation error of $\theta_n$

Estimation error of the angle between $(\theta_n, \hat{\theta}_n)$	Regret over T, average across all tasks

[Competitive Ratio and its application in Sequential Representation Learning for Multi-Task Linear Bandit]

Placeholder

Contributing

Apache 2.0

Note

The code is referencing this repo.