Files
bullet3/examples/pybullet/gym/pybullet_envs/examples/racecarGymEnvTest.py
Erwin Coumans 55f5e52ecd add continuous versions of kukaGymEnv, kukaCamGymEnv, racecarZEDGymEnv etc.
should be trainable with PPO or evolution strategies (ES) now
2017-10-31 15:50:34 -07:00

45 lines
1.4 KiB
Python

#add parent dir to find package. Only needed for source code build, pip install doesn't need it.
import os, inspect
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(os.path.dirname(currentdir))
os.sys.path.insert(0,parentdir)
from pybullet_envs.bullet.racecarGymEnv import RacecarGymEnv
isDiscrete = False
def main():
environment = RacecarGymEnv(renders=True, isDiscrete=isDiscrete)
environment.reset()
targetVelocitySlider = environment._p.addUserDebugParameter("wheelVelocity",-1,1,0)
steeringSlider = environment._p.addUserDebugParameter("steering",-1,1,0)
while (True):
targetVelocity = environment._p.readUserDebugParameter(targetVelocitySlider)
steeringAngle = environment._p.readUserDebugParameter(steeringSlider)
if (isDiscrete):
discreteAction = 0
if (targetVelocity<-0.33):
discreteAction=0
else:
if (targetVelocity>0.33):
discreteAction=6
else:
discreteAction=3
if (steeringAngle>-0.17):
if (steeringAngle>0.17):
discreteAction=discreteAction+2
else:
discreteAction=discreteAction+1
action=discreteAction
else:
action=[targetVelocity,steeringAngle]
state, reward, done, info = environment.step(action)
obs = environment.getExtendedObservation()
print("obs")
print(obs)
if __name__=="__main__":
main()