gaspersic/Gymnasium
1
0
Fork 0
mirror of https://github.com/Farama-Foundation/Gymnasium.git synced 2025-08-19 05:25:54 +00:00
Code Issues Packages Projects Releases Wiki Activity

pass args to expickle (#2172)

Browse Source
This commit is contained in:
Yunzhi Zhang
2021-07-27 11:49:45 -07:00
committed by GitHub
parent b60a40db6e
commit 41e571d065
4 changed files with 4 additions and 4 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
gym/envs/robotics/fetch/pick_and_place.py
View File

@@ -20,4 +20,4 @@ class FetchPickAndPlaceEnv(fetch_env.FetchEnv, utils.EzPickle):
gripper_extra_height=0.2, target_in_the_air=True, target_offset=0.0,
obj_range=0.15, target_range=0.15, distance_threshold=0.05,
initial_qpos=initial_qpos, reward_type=reward_type)
utils.EzPickle.__init__(self)
utils.EzPickle.__init__(self, reward_type=reward_type)

2
gym/envs/robotics/fetch/push.py
View File

@@ -20,4 +20,4 @@ class FetchPushEnv(fetch_env.FetchEnv, utils.EzPickle):
gripper_extra_height=0.0, target_in_the_air=False, target_offset=0.0,
obj_range=0.15, target_range=0.15, distance_threshold=0.05,
initial_qpos=initial_qpos, reward_type=reward_type)
utils.EzPickle.__init__(self)
utils.EzPickle.__init__(self, reward_type=reward_type)

2
gym/envs/robotics/fetch/reach.py
View File

@@ -19,4 +19,4 @@ class FetchReachEnv(fetch_env.FetchEnv, utils.EzPickle):
gripper_extra_height=0.2, target_in_the_air=True, target_offset=0.0,
obj_range=0.15, target_range=0.15, distance_threshold=0.05,
initial_qpos=initial_qpos, reward_type=reward_type)
utils.EzPickle.__init__(self)
utils.EzPickle.__init__(self, reward_type=reward_type)

2
gym/envs/robotics/fetch/slide.py
View File

@@ -22,4 +22,4 @@ class FetchSlideEnv(fetch_env.FetchEnv, utils.EzPickle):
gripper_extra_height=-0.02, target_in_the_air=False, target_offset=np.array([0.4, 0.0, 0.0]),
obj_range=0.1, target_range=0.3, distance_threshold=0.05,
initial_qpos=initial_qpos, reward_type=reward_type)
utils.EzPickle.__init__(self)
utils.EzPickle.__init__(self, reward_type=reward_type)