An open API service indexing awesome lists of open source software.

https://github.com/openai/vime

Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"
https://github.com/openai/vime

paper

Last synced: 2 months ago
JSON representation

Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"

Awesome Lists containing this project

README

        

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

# How to run VIME

Variational Information Maximizing Exploration (VIME) as presented in Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks by *R. Houthooft, X. Chen, Y. Duan, J. Schulman, F. De Turck, P. Abbeel* (http://arxiv.org/abs/1605.09674).

To reproduce the results, you should first have [rllab](https://github.com/rllab/rllab) and Mujoco v1.31 configured. Then, run the following commands in the root folder of `rllab`:

```bash
git submodule add -f [email protected]:openai/vime.git sandbox/vime
touch sandbox/__init__.py
```

Then you can do the following:
- Execute TRPO+VIME on the hierarchical SwimmerGather environment via `python sandbox/vime/experiments/run_trpo_expl.py`.