https://github.com/senya-ashukha/quantile-regression-dqn-pytorch

A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning
https://github.com/senya-ashukha/quantile-regression-dqn-pytorch

pytorch qr-dqn quantile-regression-dqn reinforcement-learning

Last synced: about 23 hours ago
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A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning

• Host: GitHub
• URL: https://github.com/senya-ashukha/quantile-regression-dqn-pytorch
• Owner: senya-ashukha
• License: mit
• Created: 2018-08-24T08:49:03.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2020-09-03T02:03:21.000Z (about 4 years ago)
• Last Synced: 2024-05-23T06:52:11.893Z (6 months ago)
• Topics: pytorch, qr-dqn, quantile-regression-dqn, reinforcement-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 3.89 MB
• Stars: 92
• Watchers: 3
• Forks: 26
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Quantile Regression DQN 

Quantile Regression DQN a Minimal Working Example, Distributional Reinforcement Learning with Quantile Regression (https://arxiv.org/abs/1710.10044).

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/senya-ashukha/quantile-regression-dqn-pytorch/blob/master/qr-dqn-solution-cool.ipynb)







## Requirements (Python 3.6)

```bash

pip3 install gym, torch, numpy, tabulate, pandas

```

## Credits

Joint work with Mikhail Konobeev. Of course, do not forget to cite Distributional Reinforcement Learning with Quantile Regression (https://arxiv.org/abs/1710.10044).