Zeta-Policy

A Q Learning policy used in Deep Reinforcement Learning.

Installation

This project requires python 3.6

1. Clone the Repository git clone https://github.com/jayaneetha/Zeta-Policy.git
2. Install Requirements pip install -r requirements.txt
3. Run rl_run.py with arguments python rl_run.py --policy=ZetaPolicy

Publication

Cite the paper as;

@inproceedings{10.1145/3511616.3513104,
      author = {Rajapakshe, Thejan and Rana, Rajib and Khalifa, Sara and Liu, Jiajun and Schuller, Bjorn},
      title = {A Novel Policy for Pre-Trained Deep Reinforcement Learning for Speech Emotion Recognition},
      year = {2022},
      isbn = {9781450396066},
      publisher = {Association for Computing Machinery},
      address = {New York, NY, USA},
      url = {https://doi.org/10.1145/3511616.3513104},
      doi = {10.1145/3511616.3513104},
      booktitle = {Australasian Computer Science Week 2022},
      pages = {96–105},
      numpages = {10},
      location = {Brisbane, Australia},
      series = {ACSW 2022}
}

Link: https://dl.acm.org/doi/10.1145/3511616.3513104