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Implement support for Dict spaces for time_aware_observation-wrapper

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Dominik Moritz Roth 2023-06-11 17:38:16 +02:00
parent abeb963b4e
commit a23b44752e
1 changed files with 8 additions and 5 deletions
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13
fancy_gym/utils/time_aware_observation.py
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@ -2,6 +2,7 @@ from gymnasium.spaces import Box, Dict
from gym.spaces import Box as OldBox
import gymnasium as gym
import numpy as np
import copy
class TimeAwareObservation(gym.ObservationWrapper, gym.utils.RecordConstructorArgs):
@ -24,19 +25,21 @@ class TimeAwareObservation(gym.ObservationWrapper, gym.utils.RecordConstructorAr
if enforce_dtype_float32:
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.'
dtype = env.observation_space.dtype
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]:
dtype = env.observation_space.dtype
low = np.append(env.observation_space.low, 0.0)
high = np.append(env.observation_space.high, 1.0)
self.observation_space = Box(low, high, dtype=dtype)
else:
import pdb
pdb.set_trace()
exit
spaces = copy.copy(env.observation_space.spaces)
dtype = np.float64
spaces['time_awareness'] = Box(0, 1, dtype=dtype)
self.observation_space = Dict(spaces)
self.is_vector_env = getattr(env, "is_vector_env", False)