make sure that the pre-trained galloping and trotting policies work for the minitaur_reactive_env and minitaur_trotting_env environments.
This commit is contained in:
11
examples/pybullet/gym/pybullet_envs/minitaur/envs/README
Normal file
11
examples/pybullet/gym/pybullet_envs/minitaur/envs/README
Normal file
@@ -0,0 +1,11 @@
|
||||
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.
|
||||
|
||||
|
||||
Reference in New Issue
Block a user