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< li class = "toctree-l2" > < a class = "reference internal" href = "../../environments/mujoco/humanoid_standup/" > Humanoid Standup< / a > < / li >
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< li class = "toctree-l2" > < a class = "reference internal" href = "../../environments/atari/beam_rider/" > Beam Rider< / a > < / li >
< li class = "toctree-l2" > < a class = "reference internal" href = "../../environments/atari/berzerk/" > Berzerk< / a > < / li >
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< / ul >
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< section id = "spaces" >
< h1 > Spaces< a class = "headerlink" href = "#spaces" title = "Permalink to this heading" > #< / a > < / h1 >
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< dt class = "sig sig-object py" id = "gymnasium.spaces.Space" >
< em class = "property" > < span class = "pre" > class< / span > < span class = "w" > < / span > < / em > < span class = "sig-prename descclassname" > < span class = "pre" > gymnasium.spaces.< / span > < / span > < span class = "sig-name descname" > < span class = "pre" > Space< / span > < / span > < span class = "sig-paren" > (< / span > < em class = "sig-param" > < span class = "n" > < span class = "pre" > shape< / span > < / span > < span class = "p" > < span class = "pre" > :< / span > < / span > < span class = "w" > < / span > < span class = "n" > < span class = "pre" > Optional< / span > < span class = "p" > < span class = "pre" > [< / span > < / span > < span class = "pre" > Sequence< / span > < span class = "p" > < span class = "pre" > [< / span > < / span > < span class = "pre" > int< / span > < span class = "p" > < span class = "pre" > ]< / span > < / span > < span class = "p" > < span class = "pre" > ]< / span > < / span > < / span > < span class = "w" > < / span > < span class = "o" > < span class = "pre" > =< / span > < / span > < span class = "w" > < / span > < span class = "default_value" > < span class = "pre" > None< / span > < / span > < / em > , < em class = "sig-param" > < span class = "n" > < span class = "pre" > dtype< / span > < / span > < span class = "p" > < span class = "pre" > :< / span > < / span > < span class = "w" > < / span > < span class = "n" > < span class = "pre" > Optional< / span > < span class = "p" > < span class = "pre" > [< / span > < / span > < span class = "pre" > Union< / span > < span class = "p" > < span class = "pre" > [< / span > < / span > < span class = "pre" > Type< / span > < span class = "p" > < span class = "pre" > ,< / span > < / span > < span class = "w" > < / span > < span class = "pre" > str< / span > < span class = "p" > < span class = "pre" > ,< / span > < / span > < span class = "w" > < / span > < span class = "pre" > dtype< / span > < span class = "p" > < span class = "pre" > ]< / span > < / span > < span class = "p" > < span class = "pre" > ]< / span > < / span > < / span > < span class = "w" > < / span > < span class = "o" > < span class = "pre" > =< / span > < / span > < span class = "w" > < / span > < span class = "default_value" > < span class = "pre" > None< / span > < / span > < / em > , < em class = "sig-param" > < span class = "n" > < span class = "pre" > seed< / span > < / span > < span class = "p" > < span class = "pre" > :< / span > < / span > < span class = "w" > < / span > < span class = "n" > < span class = "pre" > Optional< / span > < span class = "p" > < span class = "pre" > [< / span > < / span > < span class = "pre" > Union< / span > < span class = "p" > < span class = "pre" > [< / span > < / span > < span class = "pre" > int< / span > < span class = "p" > < span class = "pre" > ,< / span > < / span > < span class = "w" > < / span > < span class = "pre" > Generator< / span > < span class = "p" > < span class = "pre" > ]< / span > < / span > < span class = "p" > < span class = "pre" > ]< / span > < / span > < / span > < span class = "w" > < / span > < span class = "o" > < span class = "pre" > =< / span > < / span > < span class = "w" > < / span > < span class = "default_value" > < span class = "pre" > None< / span > < / span > < / em > < span class = "sig-paren" > )< / span > < a class = "headerlink" href = "#gymnasium.spaces.Space" title = "Permalink to this definition" > #< / a > < / dt >
< dd > < p > Superclass that is used to define observation and action spaces.< / p >
< p > Spaces are crucially used in Gym to define the format of valid actions and observations.
They serve various purposes:< / p >
< ul class = "simple" >
< li > < p > They clearly define how to interact with environments, i.e. they specify what actions need to look like
and what observations will look like< / p > < / li >
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< li > < p > They allow us to work with highly structured data (e.g. in the form of elements of < a class = "reference internal" href = "composite/#gymnasium.spaces.Dict" title = "gymnasium.spaces.Dict" > < code class = "xref py py-class docutils literal notranslate" > < span class = "pre" > Dict< / span > < / code > < / a > spaces)
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and painlessly transform them into flat arrays that can be used in learning code< / p > < / li >
< li > < p > They provide a method to sample random elements. This is especially useful for exploration and debugging.< / p > < / li >
< / ul >
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< p > Different spaces can be combined hierarchically via container spaces (< a class = "reference internal" href = "composite/#gymnasium.spaces.Tuple" title = "gymnasium.spaces.Tuple" > < code class = "xref py py-class docutils literal notranslate" > < span class = "pre" > Tuple< / span > < / code > < / a > and < a class = "reference internal" href = "composite/#gymnasium.spaces.Dict" title = "gymnasium.spaces.Dict" > < code class = "xref py py-class docutils literal notranslate" > < span class = "pre" > Dict< / span > < / code > < / a > ) to build a
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more expressive space< / p >
< div class = "admonition warning" >
< p class = "admonition-title" > Warning< / p >
< p > Custom observation & action spaces can inherit from the < code class = "docutils literal notranslate" > < span class = "pre" > Space< / span > < / code >
class. However, most use-cases should be covered by the existing space
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classes (e.g. < a class = "reference internal" href = "fundamental/#gymnasium.spaces.Box" title = "gymnasium.spaces.Box" > < code class = "xref py py-class docutils literal notranslate" > < span class = "pre" > Box< / span > < / code > < / a > , < a class = "reference internal" href = "fundamental/#gymnasium.spaces.Discrete" title = "gymnasium.spaces.Discrete" > < code class = "xref py py-class docutils literal notranslate" > < span class = "pre" > Discrete< / span > < / code > < / a > , etc…), and container classes (:class`Tuple` &
< a class = "reference internal" href = "composite/#gymnasium.spaces.Dict" title = "gymnasium.spaces.Dict" > < code class = "xref py py-class docutils literal notranslate" > < span class = "pre" > Dict< / span > < / code > < / a > ). Note that parametrized probability distributions (through the
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< code class = "xref py py-meth docutils literal notranslate" > < span class = "pre" > Space.sample()< / span > < / code > method), and batching functions (in < a class = "reference internal" href = "../vector/#gymnasium.vector.VectorEnv" title = "gymnasium.vector.VectorEnv" > < code class = "xref py py-class docutils literal notranslate" > < span class = "pre" > gymnasium.vector.VectorEnv< / span > < / code > < / a > ), are
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only well-defined for instances of spaces provided in gymnasium by default.
Moreover, some implementations of Reinforcement Learning algorithms might
not handle custom spaces properly. Use custom spaces with care.< / p >
< / div >
< p > Constructor of < a class = "reference internal" href = "#gymnasium.spaces.Space" title = "gymnasium.spaces.Space" > < code class = "xref py py-class docutils literal notranslate" > < span class = "pre" > Space< / span > < / code > < / a > .< / p >
< dl class = "field-list simple" >
< dt class = "field-odd" > Parameters< span class = "colon" > :< / span > < / dt >
< dd class = "field-odd" > < ul class = "simple" >
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< li > < p > < strong > shape< / strong > (< em > Optional< / em > < em > [< / em > < a class = "reference internal" href = "composite/#gymnasium.spaces.Sequence" title = "gymnasium.spaces.Sequence" > < em > Sequence< / em > < / a > < em > [< / em > < em > int< / em > < em > ]< / em > < em > ]< / em > ) – If elements of the space are numpy arrays, this should specify their shape.< / p > < / li >
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< li > < p > < strong > dtype< / strong > (< em > Optional< / em > < em > [< / em > < em > Type< / em > < em > | < / em > < em > str< / em > < em > ]< / em > ) – If elements of the space are numpy arrays, this should specify their dtype.< / p > < / li >
< li > < p > < strong > seed< / strong > – Optionally, you can use this argument to seed the RNG that is used to sample from the space< / p > < / li >
< / ul >
< / dd >
< / dl >
< / dd > < / dl >
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< section id = "attributes" >
< h2 > Attributes< a class = "headerlink" href = "#attributes" title = "Permalink to this heading" > #< / a > < / h2 >
< dl class = "py property" >
< dt class = "sig sig-object py" id = "gymnasium.spaces.space.Space.shape" >
< em class = "property" > < span class = "pre" > property< / span > < span class = "w" > < / span > < / em > < span class = "sig-prename descclassname" > < span class = "pre" > Space.< / span > < / span > < span class = "sig-name descname" > < span class = "pre" > shape< / span > < / span > < em class = "property" > < span class = "p" > < span class = "pre" > :< / span > < / span > < span class = "w" > < / span > < span class = "pre" > Optional< / span > < span class = "p" > < span class = "pre" > [< / span > < / span > < span class = "pre" > Tuple< / span > < span class = "p" > < span class = "pre" > [< / span > < / span > < span class = "pre" > int< / span > < span class = "p" > < span class = "pre" > ,< / span > < / span > < span class = "w" > < / span > < span class = "p" > < span class = "pre" > ...< / span > < / span > < span class = "p" > < span class = "pre" > ]< / span > < / span > < span class = "p" > < span class = "pre" > ]< / span > < / span > < / em > < a class = "headerlink" href = "#gymnasium.spaces.space.Space.shape" title = "Permalink to this definition" > #< / a > < / dt >
< dd > < p > Return the shape of the space as an immutable property.< / p >
< / dd > < / dl >
< dl class = "py property" >
< dt class = "sig sig-object py" id = "Space.dtype" >
< em class = "property" > < span class = "pre" > property< / span > < span class = "w" > < / span > < / em > < span class = "sig-prename descclassname" > < span class = "pre" > Space.< / span > < / span > < span class = "sig-name descname" > < span class = "pre" > dtype< / span > < / span > < a class = "headerlink" href = "#Space.dtype" title = "Permalink to this definition" > #< / a > < / dt >
< dd > < p > Return the data type of this space.< / p >
< / dd > < / dl >
< / section >
< section id = "methods" >
< h2 > Methods< a class = "headerlink" href = "#methods" title = "Permalink to this heading" > #< / a > < / h2 >
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< p > Each space implements the following functions:< / p >
< dl class = "py function" >
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< dt class = "sig sig-object py" id = "gymnasium.spaces.space.Space.sample" >
< span class = "sig-prename descclassname" > < span class = "pre" > gymnasium.spaces.space.Space.< / span > < / span > < span class = "sig-name descname" > < span class = "pre" > sample< / span > < / span > < span class = "sig-paren" > (< / span > < em class = "sig-param" > < span class = "n" > < span class = "pre" > self< / span > < / span > < / em > , < em class = "sig-param" > < span class = "n" > < span class = "pre" > mask< / span > < / span > < span class = "p" > < span class = "pre" > :< / span > < / span > < span class = "w" > < / span > < span class = "n" > < span class = "pre" > Optional< / span > < span class = "p" > < span class = "pre" > [< / span > < / span > < span class = "pre" > Any< / span > < span class = "p" > < span class = "pre" > ]< / span > < / span > < / span > < span class = "w" > < / span > < span class = "o" > < span class = "pre" > =< / span > < / span > < span class = "w" > < / span > < span class = "default_value" > < span class = "pre" > None< / span > < / span > < / em > < span class = "sig-paren" > )< / span > < span class = "sig-return" > < span class = "sig-return-icon" > → < / span > < span class = "sig-return-typehint" > < span class = "pre" > T_cov< / span > < / span > < / span > < a class = "headerlink" href = "#gymnasium.spaces.space.Space.sample" title = "Permalink to this definition" > #< / a > < / dt >
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< dd > < p > Randomly sample an element of this space.< / p >
< p > Can be uniform or non-uniform sampling based on boundedness of space.< / p >
< dl class = "field-list simple" >
< dt class = "field-odd" > Parameters< span class = "colon" > :< / span > < / dt >
< dd class = "field-odd" > < p > < strong > mask< / strong > – A mask used for sampling, expected < code class = "docutils literal notranslate" > < span class = "pre" > dtype=np.int8< / span > < / code > and see sample implementation for expected shape.< / p >
< / dd >
< dt class = "field-even" > Returns< span class = "colon" > :< / span > < / dt >
< dd class = "field-even" > < p > < strong > A sampled actions from the space< / strong > < / p >
< / dd >
< / dl >
< / dd > < / dl >
< dl class = "py function" >
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< dt class = "sig sig-object py" id = "gymnasium.spaces.space.Space.contains" >
< span class = "sig-prename descclassname" > < span class = "pre" > gymnasium.spaces.space.Space.< / span > < / span > < span class = "sig-name descname" > < span class = "pre" > contains< / span > < / span > < span class = "sig-paren" > (< / span > < em class = "sig-param" > < span class = "n" > < span class = "pre" > self< / span > < / span > < / em > , < em class = "sig-param" > < span class = "n" > < span class = "pre" > x< / span > < / span > < / em > < span class = "sig-paren" > )< / span > < span class = "sig-return" > < span class = "sig-return-icon" > → < / span > < span class = "sig-return-typehint" > < span class = "pre" > bool< / span > < / span > < / span > < a class = "headerlink" href = "#gymnasium.spaces.space.Space.contains" title = "Permalink to this definition" > #< / a > < / dt >
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< dd > < p > Return boolean specifying if x is a valid member of this space.< / p >
< / dd > < / dl >
< dl class = "py function" >
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< dt class = "sig sig-object py" id = "gymnasium.spaces.space.Space.seed" >
< span class = "sig-prename descclassname" > < span class = "pre" > gymnasium.spaces.space.Space.< / span > < / span > < span class = "sig-name descname" > < span class = "pre" > seed< / span > < / span > < span class = "sig-paren" > (< / span > < em class = "sig-param" > < span class = "n" > < span class = "pre" > self< / span > < / span > < / em > , < em class = "sig-param" > < span class = "n" > < span class = "pre" > seed< / span > < / span > < span class = "p" > < span class = "pre" > :< / span > < / span > < span class = "w" > < / span > < span class = "n" > < span class = "pre" > Optional< / span > < span class = "p" > < span class = "pre" > [< / span > < / span > < span class = "pre" > int< / span > < span class = "p" > < span class = "pre" > ]< / span > < / span > < / span > < span class = "w" > < / span > < span class = "o" > < span class = "pre" > =< / span > < / span > < span class = "w" > < / span > < span class = "default_value" > < span class = "pre" > None< / span > < / span > < / em > < span class = "sig-paren" > )< / span > < span class = "sig-return" > < span class = "sig-return-icon" > → < / span > < span class = "sig-return-typehint" > < span class = "pre" > list< / span > < / span > < / span > < a class = "headerlink" href = "#gymnasium.spaces.space.Space.seed" title = "Permalink to this definition" > #< / a > < / dt >
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< dd > < p > Seed the PRNG of this space and possibly the PRNGs of subspaces.< / p >
< / dd > < / dl >
< dl class = "py function" >
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< dt class = "sig sig-object py" id = "gymnasium.spaces.space.Space.to_jsonable" >
< span class = "sig-prename descclassname" > < span class = "pre" > gymnasium.spaces.space.Space.< / span > < / span > < span class = "sig-name descname" > < span class = "pre" > to_jsonable< / span > < / span > < span class = "sig-paren" > (< / span > < em class = "sig-param" > < span class = "n" > < span class = "pre" > self< / span > < / span > < / em > , < em class = "sig-param" > < span class = "n" > < span class = "pre" > sample_n< / span > < / span > < span class = "p" > < span class = "pre" > :< / span > < / span > < span class = "w" > < / span > < span class = "n" > < span class = "pre" > Sequence< / span > < span class = "p" > < span class = "pre" > [< / span > < / span > < span class = "pre" > T_cov< / span > < span class = "p" > < span class = "pre" > ]< / span > < / span > < / span > < / em > < span class = "sig-paren" > )< / span > < span class = "sig-return" > < span class = "sig-return-icon" > → < / span > < span class = "sig-return-typehint" > < span class = "pre" > list< / span > < / span > < / span > < a class = "headerlink" href = "#gymnasium.spaces.space.Space.to_jsonable" title = "Permalink to this definition" > #< / a > < / dt >
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< dd > < p > Convert a batch of samples from this space to a JSONable data type.< / p >
< / dd > < / dl >
< dl class = "py function" >
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< dt class = "sig sig-object py" id = "gymnasium.spaces.space.Space.from_jsonable" >
< span class = "sig-prename descclassname" > < span class = "pre" > gymnasium.spaces.space.Space.< / span > < / span > < span class = "sig-name descname" > < span class = "pre" > from_jsonable< / span > < / span > < span class = "sig-paren" > (< / span > < em class = "sig-param" > < span class = "n" > < span class = "pre" > self< / span > < / span > < / em > , < em class = "sig-param" > < span class = "n" > < span class = "pre" > sample_n< / span > < / span > < span class = "p" > < span class = "pre" > :< / span > < / span > < span class = "w" > < / span > < span class = "n" > < span class = "pre" > list< / span > < / span > < / em > < span class = "sig-paren" > )< / span > < span class = "sig-return" > < span class = "sig-return-icon" > → < / span > < span class = "sig-return-typehint" > < span class = "pre" > List< / span > < span class = "p" > < span class = "pre" > [< / span > < / span > < span class = "pre" > T_cov< / span > < span class = "p" > < span class = "pre" > ]< / span > < / span > < / span > < / span > < a class = "headerlink" href = "#gymnasium.spaces.space.Space.from_jsonable" title = "Permalink to this definition" > #< / a > < / dt >
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< dd > < p > Convert a JSONable data type to a batch of samples from this space.< / p >
< / dd > < / dl >
< / section >
< section id = "fundamental-spaces" >
< h2 > Fundamental Spaces< a class = "headerlink" href = "#fundamental-spaces" title = "Permalink to this heading" > #< / a > < / h2 >
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< p > Gymnasium has a number of fundamental spaces that are used as building boxes for more complex spaces.< / p >
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< ul class = "simple" >
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< li > < p > < a class = "reference internal" href = "fundamental/#gymnasium.spaces.Box" title = "gymnasium.spaces.Box" > < code class = "xref py py-class docutils literal notranslate" > < span class = "pre" > Box< / span > < / code > < / a > - Supports continuous (and discrete) vectors or matrices, used for vector observations, images, etc< / p > < / li >
< li > < p > < a class = "reference internal" href = "fundamental/#gymnasium.spaces.Discrete" title = "gymnasium.spaces.Discrete" > < code class = "xref py py-class docutils literal notranslate" > < span class = "pre" > Discrete< / span > < / code > < / a > - Supports a single discrete number of values with an optional start for the values< / p > < / li >
< li > < p > < a class = "reference internal" href = "fundamental/#gymnasium.spaces.MultiDiscrete" title = "gymnasium.spaces.MultiDiscrete" > < code class = "xref py py-class docutils literal notranslate" > < span class = "pre" > MultiDiscrete< / span > < / code > < / a > - Supports single or matrices of binary values, used for holding down a button or if an agent has an object< / p > < / li >
< li > < p > < a class = "reference internal" href = "fundamental/#gymnasium.spaces.MultiBinary" title = "gymnasium.spaces.MultiBinary" > < code class = "xref py py-class docutils literal notranslate" > < span class = "pre" > MultiBinary< / span > < / code > < / a > - Supports multiple discrete values with multiple axes, used for controller actions< / p > < / li >
< li > < p > < a class = "reference internal" href = "fundamental/#gymnasium.spaces.Text" title = "gymnasium.spaces.Text" > < code class = "xref py py-class docutils literal notranslate" > < span class = "pre" > Text< / span > < / code > < / a > - Supports strings, used for passing agent messages, mission details, etc< / p > < / li >
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< / ul >
< / section >
< section id = "composite-spaces" >
< h2 > Composite Spaces< a class = "headerlink" href = "#composite-spaces" title = "Permalink to this heading" > #< / a > < / h2 >
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< p > Often environment spaces require joining fundamental spaces together for vectorised environments, separate agents or readability of the space.< / p >
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< ul class = "simple" >
< li > < p > < a class = "reference internal" href = "composite/#gymnasium.spaces.Dict" title = "gymnasium.spaces.Dict" > < code class = "xref py py-class docutils literal notranslate" > < span class = "pre" > Dict< / span > < / code > < / a > - Supports a dictionary of keys and subspaces, used for a fixed number of unordered spaces< / p > < / li >
< li > < p > < a class = "reference internal" href = "composite/#gymnasium.spaces.Tuple" title = "gymnasium.spaces.Tuple" > < code class = "xref py py-class docutils literal notranslate" > < span class = "pre" > Tuple< / span > < / code > < / a > - Supports a tuple of subspaces, used for multiple for a fixed number of ordered spaces< / p > < / li >
< li > < p > < a class = "reference internal" href = "composite/#gymnasium.spaces.Sequence" title = "gymnasium.spaces.Sequence" > < code class = "xref py py-class docutils literal notranslate" > < span class = "pre" > Sequence< / span > < / code > < / a > - Supports a variable number of instances of a single subspace, used for entities spaces or selecting a variable number of actions< / p > < / li >
< li > < p > < a class = "reference internal" href = "composite/#gymnasium.spaces.Graph" title = "gymnasium.spaces.Graph" > < code class = "xref py py-class docutils literal notranslate" > < span class = "pre" > Graph< / span > < / code > < / a > - Supports graph based actions or observations with discrete or continuous nodes and edge values.< / p > < / li >
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< / ul >
< / section >
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< section id = "utils" >
< h2 > Utils< a class = "headerlink" href = "#utils" title = "Permalink to this heading" > #< / a > < / h2 >
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< p > Gymnasium contains a number of helpful utility functions for flattening and unflattening spaces.
This can be important for passing information to neural networks.< / p >
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< ul class = "simple" >
< li > < p > < a class = "reference internal" href = "utils/#gymnasium.spaces.utils.flatdim" title = "gymnasium.spaces.utils.flatdim" > < code class = "xref py py-class docutils literal notranslate" > < span class = "pre" > utils.flatdim< / span > < / code > < / a > - The number of dimensions the flattened space will contain< / p > < / li >
< li > < p > < a class = "reference internal" href = "utils/#gymnasium.spaces.utils.flatten_space" title = "gymnasium.spaces.utils.flatten_space" > < code class = "xref py py-class docutils literal notranslate" > < span class = "pre" > utils.flatten_space< / span > < / code > < / a > - Flattens a space for which the < cite > flattened< / cite > space instances will contain< / p > < / li >
< li > < p > < a class = "reference internal" href = "utils/#gymnasium.spaces.utils.flatten" title = "gymnasium.spaces.utils.flatten" > < code class = "xref py py-class docutils literal notranslate" > < span class = "pre" > utils.flatten< / span > < / code > < / a > - Flattens an instance of a space that is contained within the flattened version of the space< / p > < / li >
< li > < p > < a class = "reference internal" href = "utils/#gymnasium.spaces.utils.unflatten" title = "gymnasium.spaces.utils.unflatten" > < code class = "xref py py-class docutils literal notranslate" > < span class = "pre" > utils.unflatten< / span > < / code > < / a > - The reverse of the < cite > flatten_space< / cite > function< / p > < / li >
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< / ul >
< / section >
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< section id = "vector-utils" >
< h2 > Vector Utils< a class = "headerlink" href = "#vector-utils" title = "Permalink to this heading" > #< / a > < / h2 >
< p > When vectorizing environments, it is necessary to modify the observation and action spaces for new batched spaces sizes.
Therefore, Gymnasium provides a number of additional functions used when using a space with a Vector environment.< / p >
< ul class = "simple" >
< li > < p > < a class = "reference internal" href = "vector_utils/#gymnasium.vector.utils.batch_space" title = "gymnasium.vector.utils.batch_space" > < code class = "xref py py-class docutils literal notranslate" > < span class = "pre" > vector.utils.batch_space< / span > < / code > < / a > < / p > < / li >
< li > < p > < a class = "reference internal" href = "vector_utils/#gymnasium.vector.utils.concatenate" title = "gymnasium.vector.utils.concatenate" > < code class = "xref py py-class docutils literal notranslate" > < span class = "pre" > vector.utils.concatenate< / span > < / code > < / a > < / p > < / li >
< li > < p > < a class = "reference internal" href = "vector_utils/#gymnasium.vector.utils.iterate" title = "gymnasium.vector.utils.iterate" > < code class = "xref py py-class docutils literal notranslate" > < span class = "pre" > vector.utils.iterate< / span > < / code > < / a > < / p > < / li >
< li > < p > < a class = "reference internal" href = "vector_utils/#gymnasium.vector.utils.create_empty_array" title = "gymnasium.vector.utils.create_empty_array" > < code class = "xref py py-class docutils literal notranslate" > < span class = "pre" > vector.utils.create_empty_array< / span > < / code > < / a > < / p > < / li >
< li > < p > < a class = "reference internal" href = "vector_utils/#gymnasium.vector.utils.create_shared_memory" title = "gymnasium.vector.utils.create_shared_memory" > < code class = "xref py py-class docutils literal notranslate" > < span class = "pre" > vector.utils.create_shared_memory< / span > < / code > < / a > < / p > < / li >
< li > < p > < a class = "reference internal" href = "vector_utils/#gymnasium.vector.utils.read_from_shared_memory" title = "gymnasium.vector.utils.read_from_shared_memory" > < code class = "xref py py-class docutils literal notranslate" > < span class = "pre" > vector.utils.read_from_shared_memory< / span > < / code > < / a > < / p > < / li >
< li > < p > < a class = "reference internal" href = "vector_utils/#gymnasium.vector.utils.write_to_shared_memory" title = "gymnasium.vector.utils.write_to_shared_memory" > < code class = "xref py py-class docutils literal notranslate" > < span class = "pre" > vector.utils.write_to_shared_memory< / span > < / code > < / a > < / p > < / li >
< / ul >
< / section >
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< / section >
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