import gym from gym.envs.registration import registry, make, spec def register(id, *args, **kvargs): if id in registry.env_specs: return else: return gym.envs.registration.register(id, *args, **kvargs) # ------------bullet------------- register( id='HumanoidDeepMimicBackflipBulletEnv-v1', entry_point='pybullet_envs.deep_mimic.gym_env:HumanoidDeepMimicBackflipBulletEnv', max_episode_steps=2000, reward_threshold=2000.0, ) register( id='HumanoidDeepMimicWalkBulletEnv-v1', entry_point='pybullet_envs.deep_mimic.gym_env:HumanoidDeepMimicWalkBulletEnv', max_episode_steps=2000, reward_threshold=2000.0, ) register( id='CartPoleBulletEnv-v1', entry_point='pybullet_envs.bullet:CartPoleBulletEnv', max_episode_steps=200, reward_threshold=190.0, ) register( id='CartPoleContinuousBulletEnv-v0', entry_point='pybullet_envs.bullet:CartPoleContinuousBulletEnv', max_episode_steps=200, reward_threshold=190.0, ) register( id='MinitaurBulletEnv-v0', entry_point='pybullet_envs.bullet:MinitaurBulletEnv', max_episode_steps=1000, reward_threshold=15.0, ) register( id='MinitaurBulletDuckEnv-v0', entry_point='pybullet_envs.bullet:MinitaurBulletDuckEnv', max_episode_steps=1000, reward_threshold=5.0, ) register( id='MinitaurExtendedEnv-v0', entry_point='pybullet_envs.minitaur.envs:MinitaurExtendedEnv', max_episode_steps=1000, reward_threshold=5.0, ) register( id='MinitaurReactiveEnv-v0', entry_point='pybullet_envs.minitaur.envs:MinitaurReactiveEnv', max_episode_steps=1000, reward_threshold=5.0, ) register( id='MinitaurBallGymEnv-v0', entry_point='pybullet_envs.minitaur.envs:MinitaurBallGymEnv', max_episode_steps=1000, reward_threshold=5.0, ) register( id='MinitaurTrottingEnv-v0', entry_point='pybullet_envs.minitaur.envs:MinitaurTrottingEnv', max_episode_steps=1000, reward_threshold=5.0, ) register( id='MinitaurStandGymEnv-v0', entry_point='pybullet_envs.minitaur.envs:MinitaurStandGymEnv', max_episode_steps=1000, reward_threshold=5.0, ) register( id='MinitaurAlternatingLegsEnv-v0', entry_point='pybullet_envs.minitaur.envs:MinitaurAlternatingLegsEnv', max_episode_steps=1000, reward_threshold=5.0, ) register( id='MinitaurFourLegStandEnv-v0', entry_point='pybullet_envs.minitaur.envs:MinitaurFourLegStandEnv', max_episode_steps=1000, reward_threshold=5.0, ) register( id='RacecarBulletEnv-v0', entry_point='pybullet_envs.bullet:RacecarGymEnv', max_episode_steps=1000, reward_threshold=5.0, ) register( id='RacecarZedBulletEnv-v0', entry_point='pybullet_envs.bullet:RacecarZEDGymEnv', max_episode_steps=1000, reward_threshold=5.0, ) register( id='KukaBulletEnv-v0', entry_point='pybullet_envs.bullet:KukaGymEnv', max_episode_steps=1000, reward_threshold=5.0, ) register( id='KukaCamBulletEnv-v0', entry_point='pybullet_envs.bullet:KukaCamGymEnv', max_episode_steps=1000, reward_threshold=5.0, ) register( id='KukaDiverseObjectGrasping-v0', entry_point='pybullet_envs.bullet:KukaDiverseObjectEnv', max_episode_steps=1000, reward_threshold=5.0, ) register( id='InvertedPendulumBulletEnv-v0', entry_point='pybullet_envs.gym_pendulum_envs:InvertedPendulumBulletEnv', max_episode_steps=1000, reward_threshold=950.0, ) register( id='InvertedDoublePendulumBulletEnv-v0', entry_point='pybullet_envs.gym_pendulum_envs:InvertedDoublePendulumBulletEnv', max_episode_steps=1000, reward_threshold=9100.0, ) register( id='InvertedPendulumSwingupBulletEnv-v0', entry_point='pybullet_envs.gym_pendulum_envs:InvertedPendulumSwingupBulletEnv', max_episode_steps=1000, reward_threshold=800.0, ) register( id='ReacherBulletEnv-v0', entry_point='pybullet_envs.gym_manipulator_envs:ReacherBulletEnv', max_episode_steps=150, reward_threshold=18.0, ) register( id='PusherBulletEnv-v0', entry_point='pybullet_envs.gym_manipulator_envs:PusherBulletEnv', max_episode_steps=150, reward_threshold=18.0, ) register( id='ThrowerBulletEnv-v0', entry_point='pybullet_envs.gym_manipulator_envs:ThrowerBulletEnv', max_episode_steps=100, reward_threshold=18.0, ) #register( # id='StrikerBulletEnv-v0', # entry_point='pybullet_envs.gym_manipulator_envs:StrikerBulletEnv', # max_episode_steps=100, # reward_threshold=18.0, #) register(id='Walker2DBulletEnv-v0', entry_point='pybullet_envs.gym_locomotion_envs:Walker2DBulletEnv', max_episode_steps=1000, reward_threshold=2500.0) register(id='HalfCheetahBulletEnv-v0', entry_point='pybullet_envs.gym_locomotion_envs:HalfCheetahBulletEnv', max_episode_steps=1000, reward_threshold=3000.0) register(id='AntBulletEnv-v0', entry_point='pybullet_envs.gym_locomotion_envs:AntBulletEnv', max_episode_steps=1000, reward_threshold=2500.0) register(id='HopperBulletEnv-v0', entry_point='pybullet_envs.gym_locomotion_envs:HopperBulletEnv', max_episode_steps=1000, reward_threshold=2500.0) register(id='HumanoidBulletEnv-v0', entry_point='pybullet_envs.gym_locomotion_envs:HumanoidBulletEnv', max_episode_steps=1000) register(id='HumanoidFlagrunBulletEnv-v0', entry_point='pybullet_envs.gym_locomotion_envs:HumanoidFlagrunBulletEnv', max_episode_steps=1000, reward_threshold=2000.0) register(id='HumanoidFlagrunHarderBulletEnv-v0', entry_point='pybullet_envs.gym_locomotion_envs:HumanoidFlagrunHarderBulletEnv', max_episode_steps=1000) #register( # id='AtlasBulletEnv-v0', # entry_point='pybullet_envs.gym_locomotion_envs:AtlasBulletEnv', # max_episode_steps=1000 # ) def getList(): btenvs = ['- ' + spec.id for spec in gym.envs.registry.all() if spec.id.find('Bullet') >= 0] btenvs.extend([ '- MinitaurExtendedEnv-v0', '- MinitaurReactiveEnv-v0', '- MinitaurBallGymEnv-v0', '- MinitaurTrottingEnv-v0', '- MinitaurStandGymEnv-v0', '- MinitaurAlternatingLegsEnv-v0', '- MinitaurFourLegStandEnv-v0', '- KukaDiverseObjectGrasping-v0' ]) return btenvs