from gym import logger
from gym.envs.external_games.supertuxkart import SuperTuxKart
FRAMEBUFFER_SIZE = 10
env = SuperTuxKart(spf=0.000887,
framebuffer_size=FRAMEBUFFER_SIZE,
width=800,
height=600,
level='scotland',
mode='time')
env.reset()
logger.set_level(logger.DEBUG)
last_gt = 0
last_st = 0
for _ in range(10):
for i in range(10):
ob, reward, done, scores = env.step('throttle')
gt = scores['game_time']
st = scores['system_time']
delta_gt = gt - last_gt
delta_st = st - last_st
print(f"Game: {delta_gt}")
print(f"System: {delta_st}")
last_gt = gt
last_st = st
framebuffer_size=4,
width=800,
height=600,
level='scotland',
mode='time',
speedup=1,
observe_performance=False)
# You provide the directory to write to (can be an existing
# directory, including one with existing data -- all monitor files
# will be namespaced). You can also dump to a tempdir if you'd
# like: tempfile.mkdtemp().
outdir = '/tmp/random-agent-results'
agent = SuperTuxKartAgent(env.action_space)
episode_count = 5
reward = 0
scores = None
for i in range(episode_count):
done = False
ob = None
j = 0
while not done:
action = agent.act(ob, reward, done, scores)
ob, reward, done, scores = env.step(action)
ob[1][0].save(f"screenshots/EP-{i}:STEP-{j}.ppm", overwrite=True)
j += 1
ob = env.reset()
env.close()