[pybullet/gym/pybullet_envs] Modified register's timestep_limit to max_episode_steps for gym

This commit is contained in:
iory
2019-03-24 03:31:51 +09:00
parent 3768bbcae3
commit a8146024fd

View File

@@ -25,14 +25,14 @@ register(
register( register(
id='MinitaurBulletEnv-v0', id='MinitaurBulletEnv-v0',
entry_point='pybullet_envs.bullet:MinitaurBulletEnv', entry_point='pybullet_envs.bullet:MinitaurBulletEnv',
timestep_limit=1000, max_episode_steps=1000,
reward_threshold=15.0, reward_threshold=15.0,
) )
register( register(
id='MinitaurBulletDuckEnv-v0', id='MinitaurBulletDuckEnv-v0',
entry_point='pybullet_envs.bullet:MinitaurBulletDuckEnv', entry_point='pybullet_envs.bullet:MinitaurBulletDuckEnv',
timestep_limit=1000, max_episode_steps=1000,
reward_threshold=5.0, reward_threshold=5.0,
) )
@@ -40,7 +40,7 @@ register(
register( register(
id='MinitaurReactiveEnv-v0', id='MinitaurReactiveEnv-v0',
entry_point='pybullet_envs.minitaur.envs:MinitaurReactiveEnv', entry_point='pybullet_envs.minitaur.envs:MinitaurReactiveEnv',
timestep_limit=1000, max_episode_steps=1000,
reward_threshold=5.0, reward_threshold=5.0,
) )
@@ -48,7 +48,7 @@ register(
register( register(
id='MinitaurBallGymEnv-v0', id='MinitaurBallGymEnv-v0',
entry_point='pybullet_envs.minitaur.envs:MinitaurBallGymEnv', entry_point='pybullet_envs.minitaur.envs:MinitaurBallGymEnv',
timestep_limit=1000, max_episode_steps=1000,
reward_threshold=5.0, reward_threshold=5.0,
) )
@@ -56,28 +56,28 @@ register(
register( register(
id='MinitaurTrottingEnv-v0', id='MinitaurTrottingEnv-v0',
entry_point='pybullet_envs.minitaur.envs:MinitaurTrottingEnv', entry_point='pybullet_envs.minitaur.envs:MinitaurTrottingEnv',
timestep_limit=1000, max_episode_steps=1000,
reward_threshold=5.0, reward_threshold=5.0,
) )
register( register(
id='MinitaurStandGymEnv-v0', id='MinitaurStandGymEnv-v0',
entry_point='pybullet_envs.minitaur.envs:MinitaurStandGymEnv', entry_point='pybullet_envs.minitaur.envs:MinitaurStandGymEnv',
timestep_limit=1000, max_episode_steps=1000,
reward_threshold=5.0, reward_threshold=5.0,
) )
register( register(
id='MinitaurAlternatingLegsEnv-v0', id='MinitaurAlternatingLegsEnv-v0',
entry_point='pybullet_envs.minitaur.envs:MinitaurAlternatingLegsEnv', entry_point='pybullet_envs.minitaur.envs:MinitaurAlternatingLegsEnv',
timestep_limit=1000, max_episode_steps=1000,
reward_threshold=5.0, reward_threshold=5.0,
) )
register( register(
id='MinitaurFourLegStandEnv-v0', id='MinitaurFourLegStandEnv-v0',
entry_point='pybullet_envs.minitaur.envs:MinitaurFourLegStandEnv', entry_point='pybullet_envs.minitaur.envs:MinitaurFourLegStandEnv',
timestep_limit=1000, max_episode_steps=1000,
reward_threshold=5.0, reward_threshold=5.0,
) )
@@ -86,14 +86,14 @@ register(
register( register(
id='RacecarBulletEnv-v0', id='RacecarBulletEnv-v0',
entry_point='pybullet_envs.bullet:RacecarGymEnv', entry_point='pybullet_envs.bullet:RacecarGymEnv',
timestep_limit=1000, max_episode_steps=1000,
reward_threshold=5.0, reward_threshold=5.0,
) )
register( register(
id='RacecarZedBulletEnv-v0', id='RacecarZedBulletEnv-v0',
entry_point='pybullet_envs.bullet:RacecarZEDGymEnv', entry_point='pybullet_envs.bullet:RacecarZEDGymEnv',
timestep_limit=1000, max_episode_steps=1000,
reward_threshold=5.0, reward_threshold=5.0,
) )
@@ -101,21 +101,21 @@ register(
register( register(
id='KukaBulletEnv-v0', id='KukaBulletEnv-v0',
entry_point='pybullet_envs.bullet:KukaGymEnv', entry_point='pybullet_envs.bullet:KukaGymEnv',
timestep_limit=1000, max_episode_steps=1000,
reward_threshold=5.0, reward_threshold=5.0,
) )
register( register(
id='KukaCamBulletEnv-v0', id='KukaCamBulletEnv-v0',
entry_point='pybullet_envs.bullet:KukaCamGymEnv', entry_point='pybullet_envs.bullet:KukaCamGymEnv',
timestep_limit=1000, max_episode_steps=1000,
reward_threshold=5.0, reward_threshold=5.0,
) )
register( register(
id='KukaDiverseObjectGrasping-v0', id='KukaDiverseObjectGrasping-v0',
entry_point='pybullet_envs.bullet:KukaDiverseObjectEnv', entry_point='pybullet_envs.bullet:KukaDiverseObjectEnv',
timestep_limit=1000, max_episode_steps=1000,
reward_threshold=5.0, reward_threshold=5.0,
) )