# random-network-distillation

**Repository Path**: mirrors_openai/random-network-distillation

## Basic Information

- **Project Name**: random-network-distillation
- **Description**: Code for the paper "Exploration by Random Network Distillation"
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-01-11
- **Last Updated**: 2026-02-08

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

**Status:** Archive (code is provided as-is, no updates expected)

## [Exploration by Random Network Distillation](https://arxiv.org/abs/1810.12894) ##


Yuri Burda*, Harri Edwards*, Amos Storkey, Oleg Klimov<br/>
&#42;equal contribution

OpenAI<br/>
University of Edinburgh


### Installation and Usage
The following command should train an RND agent on Montezuma's Revenge
```bash
python run_atari.py --gamma_ext 0.999
```
To use more than one gpu/machine, use MPI (e.g. `mpiexec -n 8 python run_atari.py --num_env 128 --gamma_ext 0.999` should use 1024 parallel environments to collect experience on an 8 gpu machine). 

### [Blog post and videos](https://blog.openai.com/reinforcement-learning-with-prediction-based-rewards/)