Implement support for Dict spaces for time_aware_observation-wrapper
This commit is contained in:
parent
abeb963b4e
commit
a23b44752e
@ -2,6 +2,7 @@ from gymnasium.spaces import Box, Dict
|
|||||||
from gym.spaces import Box as OldBox
|
from gym.spaces import Box as OldBox
|
||||||
import gymnasium as gym
|
import gymnasium as gym
|
||||||
import numpy as np
|
import numpy as np
|
||||||
|
import copy
|
||||||
|
|
||||||
|
|
||||||
class TimeAwareObservation(gym.ObservationWrapper, gym.utils.RecordConstructorArgs):
|
class TimeAwareObservation(gym.ObservationWrapper, gym.utils.RecordConstructorArgs):
|
||||||
@ -24,19 +25,21 @@ class TimeAwareObservation(gym.ObservationWrapper, gym.utils.RecordConstructorAr
|
|||||||
if enforce_dtype_float32:
|
if enforce_dtype_float32:
|
||||||
assert env.observation_space.dtype == np.float32, 'TimeAwareObservation was given an environment with a dtype!=np.float32 ('+str(
|
assert env.observation_space.dtype == np.float32, 'TimeAwareObservation was given an environment with a dtype!=np.float32 ('+str(
|
||||||
env.observation_space.dtype)+'). This requirement can be removed by setting enforce_dtype_float32=False.'
|
env.observation_space.dtype)+'). This requirement can be removed by setting enforce_dtype_float32=False.'
|
||||||
dtype = env.observation_space.dtype
|
|
||||||
|
|
||||||
assert env.observation_space.__class__ in allowed_classes, str(env.observation_space)+' is not supported. Only Box or Dict'
|
assert env.observation_space.__class__ in allowed_classes, str(env.observation_space)+' is not supported. Only Box or Dict'
|
||||||
|
|
||||||
if env.observation_space.__class__ in [Box, OldBox]:
|
if env.observation_space.__class__ in [Box, OldBox]:
|
||||||
|
dtype = env.observation_space.dtype
|
||||||
|
|
||||||
low = np.append(env.observation_space.low, 0.0)
|
low = np.append(env.observation_space.low, 0.0)
|
||||||
high = np.append(env.observation_space.high, 1.0)
|
high = np.append(env.observation_space.high, 1.0)
|
||||||
|
|
||||||
self.observation_space = Box(low, high, dtype=dtype)
|
self.observation_space = Box(low, high, dtype=dtype)
|
||||||
else:
|
else:
|
||||||
import pdb
|
spaces = copy.copy(env.observation_space.spaces)
|
||||||
pdb.set_trace()
|
dtype = np.float64
|
||||||
exit
|
spaces['time_awareness'] = Box(0, 1, dtype=dtype)
|
||||||
|
|
||||||
|
self.observation_space = Dict(spaces)
|
||||||
|
|
||||||
self.is_vector_env = getattr(env, "is_vector_env", False)
|
self.is_vector_env = getattr(env, "is_vector_env", False)
|
||||||
|
|
||||||
|
Loading…
Reference in New Issue
Block a user