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https://github.com/Farama-Foundation/Gymnasium.git
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e913bc81b8
* feat: add `isort` to `pre-commit` * ci: skip `__init__.py` file for `isort` * ci: make `isort` mandatory in lint pipeline * docs: add a section on Git hooks * ci: check isort diff * fix: isort from master branch * docs: add pre-commit badge * ci: update black + bandit versions * feat: add PR template * refactor: PR template * ci: remove bandit * docs: add Black badge * ci: try to remove all `|| true` statements * ci: remove lint_python job - Remove `lint_python` CI job - Move `pyupgrade` job to `pre-commit` workflow * fix: avoid messing with typing * docs: add a note on running `pre-cpmmit` manually * ci: apply `pre-commit` to the whole codebase
36 lines
1005 B
Python
36 lines
1005 B
Python
from typing import Optional
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import numpy as np
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from gym import ObservationWrapper
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from gym.spaces import Box
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class TimeAwareObservation(ObservationWrapper):
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r"""Augment the observation with current time step in the trajectory.
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.. note::
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Currently it only works with one-dimensional observation space. It doesn't
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support pixel observation space yet.
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"""
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def __init__(self, env):
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super().__init__(env)
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assert isinstance(env.observation_space, Box)
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assert env.observation_space.dtype == np.float32
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low = np.append(self.observation_space.low, 0.0)
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high = np.append(self.observation_space.high, np.inf)
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self.observation_space = Box(low, high, dtype=np.float32)
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def observation(self, observation):
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return np.append(observation, self.t)
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def step(self, action):
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self.t += 1
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return super().step(action)
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def reset(self, **kwargs):
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self.t = 0
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return super().reset(**kwargs)
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