12 lines
547 B
Plaintext
12 lines
547 B
Plaintext
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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