# rudder-a-practical-tutorial

**Repository Path**: ctpaaa/rudder-a-practical-tutorial

## Basic Information

- **Project Name**: rudder-a-practical-tutorial
- **Description**: A practical step-by-step guide to applying RUDDER
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-03-30
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# A step-by-step guide to applying RUDDER
In this [tutorial](tutorial.ipynb) I will show you how RUDDER can be applied step by step and how a reward redistribution model can be implemented using PyTorch.

You may use it as a quick-guide to apply RUDDER in your RL setting and to pre-assess if RUDDER might lead to improvements for your task beforehand.
This code should be runnable on common CPUs in reasonable time.

Links to further RUDDER code, our [blog](https://www.jku.at/index.php?id=16426), and [paper](https://arxiv.org/abs/1806.07857) can be found at our [RUDDER repo](https://github.com/ml-jku/rudder).