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J K Terry
2022-09-07 22:27:28 -04:00
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LICENSE.md
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@@ -1,6 +1,7 @@
The MIT License The MIT License
Copyright (c) 2016 OpenAI (https://openai.com) Copyright (c) 2016 OpenAI
Copyright (c) 2022 Farama Foundation
Permission is hereby granted, free of charge, to any person obtaining a copy Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal of this software and associated documentation files (the "Software"), to deal
@@ -19,16 +20,3 @@ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE. THE SOFTWARE.
# Mujoco models
This work is derived from [MuJuCo models](http://www.mujoco.org/forum/index.php?resources/) used under the following license:
```
This file is part of MuJoCo.
Copyright 2009-2015 Roboti LLC.
Mujoco :: Advanced physics simulation engine
Source : www.roboti.us
Version : 1.31
Released : 23Apr16
Author :: Vikash Kumar
Contacts : kumar@roboti.us
```

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gym/core.py
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@@ -33,7 +33,7 @@ RenderFrame = TypeVar("RenderFrame")
class Env(Generic[ObsType, ActType]): class Env(Generic[ObsType, ActType]):
r"""The main OpenAI Gym class. r"""The main Gym class.
It encapsulates an environment with arbitrary behind-the-scenes dynamics. It encapsulates an environment with arbitrary behind-the-scenes dynamics.
An environment can be partially or fully observed. An environment can be partially or fully observed.

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gym/envs/classic_control/acrobot.py
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@@ -110,8 +110,7 @@ class AcrobotEnv(core.Env):
env.env.book_or_nips = 'nips' env.env.book_or_nips = 'nips'
``` ```
See the following note and See the following note for details:
the [implementation](https://github.com/openai/gym/blob/master/gym/envs/classic_control/acrobot.py) for details:
> The dynamics equations were missing some terms in the NIPS paper which > The dynamics equations were missing some terms in the NIPS paper which
are present in the book. R. Sutton confirmed in personal correspondence are present in the book. R. Sutton confirmed in personal correspondence

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gym/envs/classic_control/pendulum.py
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@@ -109,8 +109,8 @@ class PendulumEnv(gym.Env):
high = np.array([1.0, 1.0, self.max_speed], dtype=np.float32) high = np.array([1.0, 1.0, self.max_speed], dtype=np.float32)
# This will throw a warning in tests/envs/test_envs in utils/env_checker.py as the space is not symmetric # This will throw a warning in tests/envs/test_envs in utils/env_checker.py as the space is not symmetric
# or normalised as max_torque == 2 by default. Ignoring the issue here as the default settings are too old # or normalized as max_torque == 2 by default. Ignoring the issue here as the default settings are too old
# to update to follow the openai gym api # to update to follow the Gym api
self.action_space = spaces.Box( self.action_space = spaces.Box(
low=-self.max_torque, high=self.max_torque, shape=(1,), dtype=np.float32 low=-self.max_torque, high=self.max_torque, shape=(1,), dtype=np.float32
) )

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gym/wrappers/normalize.py
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@@ -3,8 +3,6 @@ import numpy as np
import gym import gym
# taken from https://github.com/openai/baselines/blob/master/baselines/common/vec_env/vec_normalize.py
class RunningMeanStd: class RunningMeanStd:
"""Tracks the mean, variance and count of values.""" """Tracks the mean, variance and count of values."""