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