import gym
import gym_carla
env = gym.make( 'CarlaDefault-v0', host='localhost', timestep_limit = 10000, render = True, render_mode = 'human')
for ep in range( 10):
print( "Episode %d:" % ep)
done = False
obs = env.reset()
# print( "# DEBUG: Done before entering episode", done)
while not done:
obs, _, done, _ = env.step( env.action_space.sample())
print( 'Obs at timestep %d: %s' % (env._current_timestep, 'Not none' if obs is not None else 'None'))
env.render()
env.close()
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An OpenAI Gym based wrapper for GymCarla. Imitates the rendering mode of the examples for ease of use, modular design for "easy" customization.
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