fix a number of issues in a series of new Minitaur environments
add them to pybullet_envs through __init__.py
id='MinitaurReactiveEnv-v0',
id='MinitaurTrottingEnv-v0',
id='MinitaurBallGymEnv-v0',
id='MinitaurStandGymEnv-v0',
id='MinitaurAlternatingLegsEnv-v0',
id='MinitaurFourLegStandEnv-v0',
disable reflection of minitaur_four_leg_stand_env, since the floor changes orientation (reflection is a fixed plane with [0,0,1] normal)
from pybullet_envs.minitaur.envs.minitaur_alternating_legs_env import MinitaurAlternatingLegsEnv
from pybullet_envs.minitaur.envs.minitaur_ball_gym_env import MinitaurBallGymEnv
from pybullet_envs.minitaur.envs.minitaur_randomize_terrain_gym_env import MinitaurRandomizeTerrainGymEnv
from pybullet_envs.minitaur.envs.minitaur_reactive_env import MinitaurReactiveEnv
from pybullet_envs.minitaur.envs.minitaur_stand_gym_env import MinitaurStandGymEnv
from pybullet_envs.minitaur.envs.minitaur_trotting_env import MinitaurTrottingEnv
from pybullet_envs.minitaur.envs.minitaur_four_leg_stand_env import MinitaurFourLegStandEnv
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@@ -6,7 +6,7 @@ bent legs, desired_pitch from user input, battery voltage and motor damping.
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import numpy as np
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import tensorflow as tf
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from pybullet_envs.minitaur.minitaur.envs import env_randomizer_base
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from pybullet_envs.minitaur.envs import env_randomizer_base
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# Absolute range.
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NUM_LEGS = 4
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