rewrite the README file.

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Jie Tan
2018-04-26 21:19:10 -07:00
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This folder contains a number of simulated Minitaur environments implemented using pybullet.
The following two environments are used in the RSS paper "Sim-to-Real: Learning Agile Locomotion For Quadruped Robots":
1) Galloping example: minitaur_reactive_env.py
python minitaur_reactive_env_example.py runs a pre-trained PPO agent that performs galloping gait.
2) Trotting example: minitaur_trotting_env.py
python minitaur_trotting_env_example.py runs a pre-trained PPO agent that performs trotting gait.
The rest are experimental environments.

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# Simulated Minitaur Environments
This folder contains a number of simulated Minitaur environments implemented using pybullet.
The following two environments are used in the RSS paper "Sim-to-Real: Learning Agile Locomotion For Quadruped Robots":
* Galloping environment: minitaur_reactive_env.py
* Trotting environment: minitaur_trotting_env.py
The rest are experimental environments.
## Prerequisites
Install [TensorFlow](https://www.tensorflow.org/install/)
Install OpenAI gym
```
pip install gym
```
Install ruamel.yaml
```
pip install ruamel.yaml
```
## Examples
To run a pre-trained PPO agent that performs the galloping gait
```
python minitaur_reactive_env_example.py
```
To run a pre-trained PPO agent that performs trotting gait
```
python minitaur_trotting_env_example.py
```
## Authors
* Jie Tan
* Tingnan Zhang
* Erwin Coumans
* Atil Iscen
* Yunfei Bai
* Danijar Hafner
* Steven Bohez
* Vincent Vanhoucke