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neuralVarLinUCB

Quick Demo

Run this Google Colab.

To prepare:

Install prerequisite packages:

pip install -r requirements.txt

Generate synthetic dataset:

python src/demo/sample_dataset.py

To run experiments:

python <method_file> --exp_idx=<idx>

where the parameters are the following:

  • <method_file>: file stored the code of method in the src/demo/ folder. E.g., <method_file> = src/demo/neural_MLE.py
  • <idx>: index of experiment. E.g., <idx> = 1
python <method_file> --exp_idx=<idx>

where the parameters are the following:

  • <method_file>: file stored the code of method in the src/. E.g., <method_file> = src/neural_MLE.py
  • <idx>: index of experiment. E.g., <idx> = 1

References

Based on code of:

neural_exploration
github.

NeuralUCB
github.

Supplementary Material
openreview.

License

This source code is released under the Apache-2.0 license, included here.

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Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits.

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