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<h1>Action Wrappers<a class="headerlink" href="#action-wrappers" title="Link to this heading">#</a></h1>
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|
||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">gymnasium.</span></span><span class="sig-name descname"><span class="pre">ActionWrapper</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">env</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../env/#gymnasium.Env" title="gymnasium.core.Env"><span class="pre">Env</span></a><span class="p"><span class="pre">[</span></span><span class="pre">ObsType</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">ActType</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../_modules/gymnasium/core/#ActionWrapper"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#gymnasium.ActionWrapper" title="Link to this definition">#</a></dt>
|
||
<dd><p>Superclass of wrappers that can modify the action before <code class="xref py py-meth docutils literal notranslate"><span class="pre">step()</span></code>.</p>
|
||
<p>If you would like to apply a function to the action before passing it to the base environment,
|
||
you can simply inherit from <a class="reference internal" href="#gymnasium.ActionWrapper" title="gymnasium.ActionWrapper"><code class="xref py py-class docutils literal notranslate"><span class="pre">ActionWrapper</span></code></a> and overwrite the method <a class="reference internal" href="#gymnasium.ActionWrapper.action" title="gymnasium.ActionWrapper.action"><code class="xref py py-meth docutils literal notranslate"><span class="pre">action()</span></code></a> to implement
|
||
that transformation. The transformation defined in that method must take values in the base environment’s
|
||
action space. However, its domain might differ from the original action space.
|
||
In that case, you need to specify the new action space of the wrapper by setting <code class="xref py py-attr docutils literal notranslate"><span class="pre">action_space</span></code> in
|
||
the <code class="xref py py-meth docutils literal notranslate"><span class="pre">__init__()</span></code> method of your wrapper.</p>
|
||
<p>Among others, Gymnasium provides the action wrappers <a class="reference internal" href="#gymnasium.wrappers.ClipAction" title="gymnasium.wrappers.ClipAction"><code class="xref py py-class docutils literal notranslate"><span class="pre">gymnasium.wrappers.ClipAction</span></code></a> and
|
||
<a class="reference internal" href="#gymnasium.wrappers.RescaleAction" title="gymnasium.wrappers.RescaleAction"><code class="xref py py-class docutils literal notranslate"><span class="pre">gymnasium.wrappers.RescaleAction</span></code></a> for clipping and rescaling actions.</p>
|
||
<dl class="field-list simple">
|
||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||
<dd class="field-odd"><p><strong>env</strong> – Environment to be wrapped.</p>
|
||
</dd>
|
||
</dl>
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="gymnasium.ActionWrapper.action">
|
||
<span class="sig-name descname"><span class="pre">action</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">action</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">WrapperActType</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">ActType</span></span></span><a class="reference internal" href="../../../_modules/gymnasium/core/#ActionWrapper.action"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#gymnasium.ActionWrapper.action" title="Link to this definition">#</a></dt>
|
||
<dd><p>Returns a modified action before <code class="xref py py-meth docutils literal notranslate"><span class="pre">step()</span></code> is called.</p>
|
||
<dl class="field-list simple">
|
||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||
<dd class="field-odd"><p><strong>action</strong> – The original <code class="xref py py-meth docutils literal notranslate"><span class="pre">step()</span></code> actions</p>
|
||
</dd>
|
||
<dt class="field-even">Returns<span class="colon">:</span></dt>
|
||
<dd class="field-even"><p><strong>The modified actions</strong></p>
|
||
</dd>
|
||
</dl>
|
||
</dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
</section>
|
||
<section id="available-action-wrappers">
|
||
<h2>Available Action Wrappers<a class="headerlink" href="#available-action-wrappers" title="Link to this heading">#</a></h2>
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="gymnasium.wrappers.TransformAction">
|
||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">gymnasium.wrappers.</span></span><span class="sig-name descname"><span class="pre">TransformAction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">env</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">gym.Env</span><span class="p"><span class="pre">[</span></span><span class="pre">ObsType</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">ActType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">func</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Callable</span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><span class="pre">WrapperActType</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">ActType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">action_space</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../spaces/#gymnasium.spaces.Space" title="gymnasium.spaces.Space"><span class="pre">Space</span></a><span class="p"><span class="pre">[</span></span><span class="pre">WrapperActType</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../_modules/gymnasium/wrappers/transform_action/#TransformAction"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#gymnasium.wrappers.TransformAction" title="Link to this definition">#</a></dt>
|
||
<dd><p>Applies a function to the <code class="docutils literal notranslate"><span class="pre">action</span></code> before passing the modified value to the environment <code class="docutils literal notranslate"><span class="pre">step</span></code> function.</p>
|
||
<p>A vector version of the wrapper exists <a class="reference internal" href="../../vector/wrappers/#gymnasium.wrappers.vector.TransformAction" title="gymnasium.wrappers.vector.TransformAction"><code class="xref py py-class docutils literal notranslate"><span class="pre">gymnasium.wrappers.vector.TransformAction</span></code></a>.</p>
|
||
<p class="rubric">Example</p>
|
||
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||
<span class="gp">>>> </span><span class="kn">import</span> <span class="nn">gymnasium</span> <span class="k">as</span> <span class="nn">gym</span>
|
||
<span class="gp">>>> </span><span class="n">env</span> <span class="o">=</span> <span class="n">gym</span><span class="o">.</span><span class="n">make</span><span class="p">(</span><span class="s2">"MountainCarContinuous-v0"</span><span class="p">)</span>
|
||
<span class="gp">>>> </span><span class="n">_</span> <span class="o">=</span> <span class="n">env</span><span class="o">.</span><span class="n">reset</span><span class="p">(</span><span class="n">seed</span><span class="o">=</span><span class="mi">123</span><span class="p">)</span>
|
||
<span class="gp">>>> </span><span class="n">obs</span><span class="p">,</span> <span class="o">*</span><span class="n">_</span><span class="o">=</span> <span class="n">env</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">]))</span>
|
||
<span class="gp">>>> </span><span class="n">obs</span>
|
||
<span class="go">array([-4.6397772e-01, -4.4808415e-04], dtype=float32)</span>
|
||
<span class="gp">>>> </span><span class="n">env</span> <span class="o">=</span> <span class="n">gym</span><span class="o">.</span><span class="n">make</span><span class="p">(</span><span class="s2">"MountainCarContinuous-v0"</span><span class="p">)</span>
|
||
<span class="gp">>>> </span><span class="n">env</span> <span class="o">=</span> <span class="n">TransformAction</span><span class="p">(</span><span class="n">env</span><span class="p">,</span> <span class="k">lambda</span> <span class="n">a</span><span class="p">:</span> <span class="mf">0.5</span> <span class="o">*</span> <span class="n">a</span> <span class="o">+</span> <span class="mf">0.1</span><span class="p">,</span> <span class="n">env</span><span class="o">.</span><span class="n">action_space</span><span class="p">)</span>
|
||
<span class="gp">>>> </span><span class="n">_</span> <span class="o">=</span> <span class="n">env</span><span class="o">.</span><span class="n">reset</span><span class="p">(</span><span class="n">seed</span><span class="o">=</span><span class="mi">123</span><span class="p">)</span>
|
||
<span class="gp">>>> </span><span class="n">obs</span><span class="p">,</span> <span class="o">*</span><span class="n">_</span><span class="o">=</span> <span class="n">env</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">]))</span>
|
||
<span class="gp">>>> </span><span class="n">obs</span>
|
||
<span class="go">array([-4.6382770e-01, -2.9808417e-04], dtype=float32)</span>
|
||
</pre></div>
|
||
</div>
|
||
<dl class="simple">
|
||
<dt>Change logs:</dt><dd><ul class="simple">
|
||
<li><p>v1.0.0 - Initially added</p></li>
|
||
</ul>
|
||
</dd>
|
||
</dl>
|
||
<dl class="field-list simple">
|
||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||
<dd class="field-odd"><ul class="simple">
|
||
<li><p><strong>env</strong> – The environment to wrap</p></li>
|
||
<li><p><strong>func</strong> – Function to apply to the <code class="xref py py-meth docutils literal notranslate"><span class="pre">step()</span></code>’s <code class="docutils literal notranslate"><span class="pre">action</span></code></p></li>
|
||
<li><p><strong>action_space</strong> – The updated action space of the wrapper given the function.</p></li>
|
||
</ul>
|
||
</dd>
|
||
</dl>
|
||
</dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="gymnasium.wrappers.ClipAction">
|
||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">gymnasium.wrappers.</span></span><span class="sig-name descname"><span class="pre">ClipAction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">env</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../env/#gymnasium.Env" title="gymnasium.core.Env"><span class="pre">Env</span></a><span class="p"><span class="pre">[</span></span><span class="pre">ObsType</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">ActType</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../_modules/gymnasium/wrappers/transform_action/#ClipAction"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#gymnasium.wrappers.ClipAction" title="Link to this definition">#</a></dt>
|
||
<dd><p>Clips the <code class="docutils literal notranslate"><span class="pre">action</span></code> pass to <code class="docutils literal notranslate"><span class="pre">step</span></code> to be within the environment’s <cite>action_space</cite>.</p>
|
||
<p>A vector version of the wrapper exists <a class="reference internal" href="../../vector/wrappers/#gymnasium.wrappers.vector.ClipAction" title="gymnasium.wrappers.vector.ClipAction"><code class="xref py py-class docutils literal notranslate"><span class="pre">gymnasium.wrappers.vector.ClipAction</span></code></a>.</p>
|
||
<p class="rubric">Example</p>
|
||
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">import</span> <span class="nn">gymnasium</span> <span class="k">as</span> <span class="nn">gym</span>
|
||
<span class="gp">>>> </span><span class="kn">from</span> <span class="nn">gymnasium.wrappers</span> <span class="kn">import</span> <span class="n">ClipAction</span>
|
||
<span class="gp">>>> </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||
<span class="gp">>>> </span><span class="n">env</span> <span class="o">=</span> <span class="n">gym</span><span class="o">.</span><span class="n">make</span><span class="p">(</span><span class="s2">"Hopper-v4"</span><span class="p">,</span> <span class="n">disable_env_checker</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
|
||
<span class="gp">>>> </span><span class="n">env</span> <span class="o">=</span> <span class="n">ClipAction</span><span class="p">(</span><span class="n">env</span><span class="p">)</span>
|
||
<span class="gp">>>> </span><span class="n">env</span><span class="o">.</span><span class="n">action_space</span>
|
||
<span class="go">Box(-inf, inf, (3,), float32)</span>
|
||
<span class="gp">>>> </span><span class="n">_</span> <span class="o">=</span> <span class="n">env</span><span class="o">.</span><span class="n">reset</span><span class="p">(</span><span class="n">seed</span><span class="o">=</span><span class="mi">42</span><span class="p">)</span>
|
||
<span class="gp">>>> </span><span class="n">_</span> <span class="o">=</span> <span class="n">env</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">5.0</span><span class="p">,</span> <span class="o">-</span><span class="mf">2.0</span><span class="p">,</span> <span class="mf">0.0</span><span class="p">],</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">))</span>
|
||
<span class="gp">... </span><span class="c1"># Executes the action np.array([1.0, -1.0, 0]) in the base environment</span>
|
||
</pre></div>
|
||
</div>
|
||
<dl class="simple">
|
||
<dt>Change logs:</dt><dd><ul class="simple">
|
||
<li><p>v0.12.6 - Initially added</p></li>
|
||
<li><p>v1.0.0 - Action space is updated to infinite bounds as is technically correct</p></li>
|
||
</ul>
|
||
</dd>
|
||
</dl>
|
||
<dl class="field-list simple">
|
||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||
<dd class="field-odd"><p><strong>env</strong> – The environment to wrap</p>
|
||
</dd>
|
||
</dl>
|
||
</dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="gymnasium.wrappers.RescaleAction">
|
||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">gymnasium.wrappers.</span></span><span class="sig-name descname"><span class="pre">RescaleAction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">env</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">gym.Env</span><span class="p"><span class="pre">[</span></span><span class="pre">ObsType</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">ActType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_action</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">np.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_action</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">np.ndarray</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../_modules/gymnasium/wrappers/transform_action/#RescaleAction"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#gymnasium.wrappers.RescaleAction" title="Link to this definition">#</a></dt>
|
||
<dd><p>Affinely (linearly) rescales a <code class="docutils literal notranslate"><span class="pre">Box</span></code> action space of the environment to within the range of <code class="docutils literal notranslate"><span class="pre">[min_action,</span> <span class="pre">max_action]</span></code>.</p>
|
||
<p>The base environment <code class="xref py py-attr docutils literal notranslate"><span class="pre">env</span></code> must have an action space of type <code class="xref py py-class docutils literal notranslate"><span class="pre">spaces.Box</span></code>. If <code class="xref py py-attr docutils literal notranslate"><span class="pre">min_action</span></code>
|
||
or <code class="xref py py-attr docutils literal notranslate"><span class="pre">max_action</span></code> are numpy arrays, the shape must match the shape of the environment’s action space.</p>
|
||
<p>A vector version of the wrapper exists <a class="reference internal" href="../../vector/wrappers/#gymnasium.wrappers.vector.RescaleAction" title="gymnasium.wrappers.vector.RescaleAction"><code class="xref py py-class docutils literal notranslate"><span class="pre">gymnasium.wrappers.vector.RescaleAction</span></code></a>.</p>
|
||
<p class="rubric">Example</p>
|
||
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">import</span> <span class="nn">gymnasium</span> <span class="k">as</span> <span class="nn">gym</span>
|
||
<span class="gp">>>> </span><span class="kn">from</span> <span class="nn">gymnasium.wrappers</span> <span class="kn">import</span> <span class="n">RescaleAction</span>
|
||
<span class="gp">>>> </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
||
<span class="gp">>>> </span><span class="n">env</span> <span class="o">=</span> <span class="n">gym</span><span class="o">.</span><span class="n">make</span><span class="p">(</span><span class="s2">"Hopper-v4"</span><span class="p">,</span> <span class="n">disable_env_checker</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
|
||
<span class="gp">>>> </span><span class="n">_</span> <span class="o">=</span> <span class="n">env</span><span class="o">.</span><span class="n">reset</span><span class="p">(</span><span class="n">seed</span><span class="o">=</span><span class="mi">42</span><span class="p">)</span>
|
||
<span class="gp">>>> </span><span class="n">obs</span><span class="p">,</span> <span class="n">_</span><span class="p">,</span> <span class="n">_</span><span class="p">,</span> <span class="n">_</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">env</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">))</span>
|
||
<span class="gp">>>> </span><span class="n">_</span> <span class="o">=</span> <span class="n">env</span><span class="o">.</span><span class="n">reset</span><span class="p">(</span><span class="n">seed</span><span class="o">=</span><span class="mi">42</span><span class="p">)</span>
|
||
<span class="gp">>>> </span><span class="n">min_action</span> <span class="o">=</span> <span class="o">-</span><span class="mf">0.5</span>
|
||
<span class="gp">>>> </span><span class="n">max_action</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.0</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mf">0.75</span><span class="p">],</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
|
||
<span class="gp">>>> </span><span class="n">wrapped_env</span> <span class="o">=</span> <span class="n">RescaleAction</span><span class="p">(</span><span class="n">env</span><span class="p">,</span> <span class="n">min_action</span><span class="o">=</span><span class="n">min_action</span><span class="p">,</span> <span class="n">max_action</span><span class="o">=</span><span class="n">max_action</span><span class="p">)</span>
|
||
<span class="gp">>>> </span><span class="n">wrapped_env_obs</span><span class="p">,</span> <span class="n">_</span><span class="p">,</span> <span class="n">_</span><span class="p">,</span> <span class="n">_</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">wrapped_env</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">max_action</span><span class="p">)</span>
|
||
<span class="gp">>>> </span><span class="n">np</span><span class="o">.</span><span class="n">all</span><span class="p">(</span><span class="n">obs</span> <span class="o">==</span> <span class="n">wrapped_env_obs</span><span class="p">)</span>
|
||
<span class="go">True</span>
|
||
</pre></div>
|
||
</div>
|
||
<dl class="simple">
|
||
<dt>Change logs:</dt><dd><ul class="simple">
|
||
<li><p>v0.15.4 - Initially added</p></li>
|
||
</ul>
|
||
</dd>
|
||
</dl>
|
||
<dl class="field-list simple">
|
||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||
<dd class="field-odd"><ul class="simple">
|
||
<li><p><strong>env</strong> (<a class="reference internal" href="../../env/#gymnasium.Env" title="gymnasium.Env"><em>Env</em></a>) – The environment to wrap</p></li>
|
||
<li><p><strong>min_action</strong> (<em>float</em><em>, </em><em>int</em><em> or </em><em>np.ndarray</em>) – The min values for each action. This may be a numpy array or a scalar.</p></li>
|
||
<li><p><strong>max_action</strong> (<em>float</em><em>, </em><em>int</em><em> or </em><em>np.ndarray</em>) – The max values for each action. This may be a numpy array or a scalar.</p></li>
|
||
</ul>
|
||
</dd>
|
||
</dl>
|
||
</dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="gymnasium.wrappers.StickyAction">
|
||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">gymnasium.wrappers.</span></span><span class="sig-name descname"><span class="pre">StickyAction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">env</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../env/#gymnasium.Env" title="gymnasium.core.Env"><span class="pre">Env</span></a><span class="p"><span class="pre">[</span></span><span class="pre">ObsType</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">ActType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">repeat_action_probability</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../_modules/gymnasium/wrappers/stateful_action/#StickyAction"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#gymnasium.wrappers.StickyAction" title="Link to this definition">#</a></dt>
|
||
<dd><p>Adds a probability that the action is repeated for the same <code class="docutils literal notranslate"><span class="pre">step</span></code> function.</p>
|
||
<p>This wrapper follows the implementation proposed by <a class="reference external" href="https://arxiv.org/pdf/1709.06009.pdf">Machado et al., 2018</a>
|
||
in Section 5.2 on page 12.</p>
|
||
<p>No vector version of the wrapper exists.</p>
|
||
<p class="rubric">Example</p>
|
||
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">import</span> <span class="nn">gymnasium</span> <span class="k">as</span> <span class="nn">gym</span>
|
||
<span class="gp">>>> </span><span class="n">env</span> <span class="o">=</span> <span class="n">gym</span><span class="o">.</span><span class="n">make</span><span class="p">(</span><span class="s2">"CartPole-v1"</span><span class="p">)</span>
|
||
<span class="gp">>>> </span><span class="n">env</span> <span class="o">=</span> <span class="n">StickyAction</span><span class="p">(</span><span class="n">env</span><span class="p">,</span> <span class="n">repeat_action_probability</span><span class="o">=</span><span class="mf">0.9</span><span class="p">)</span>
|
||
<span class="gp">>>> </span><span class="n">env</span><span class="o">.</span><span class="n">reset</span><span class="p">(</span><span class="n">seed</span><span class="o">=</span><span class="mi">123</span><span class="p">)</span>
|
||
<span class="go">(array([ 0.01823519, -0.0446179 , -0.02796401, -0.03156282], dtype=float32), {})</span>
|
||
<span class="gp">>>> </span><span class="n">env</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
|
||
<span class="go">(array([ 0.01734283, 0.15089367, -0.02859527, -0.33293587], dtype=float32), 1.0, False, False, {})</span>
|
||
<span class="gp">>>> </span><span class="n">env</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
|
||
<span class="go">(array([ 0.0203607 , 0.34641072, -0.03525399, -0.6344974 ], dtype=float32), 1.0, False, False, {})</span>
|
||
<span class="gp">>>> </span><span class="n">env</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
|
||
<span class="go">(array([ 0.02728892, 0.5420062 , -0.04794393, -0.9380709 ], dtype=float32), 1.0, False, False, {})</span>
|
||
<span class="gp">>>> </span><span class="n">env</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
|
||
<span class="go">(array([ 0.03812904, 0.34756234, -0.06670535, -0.6608303 ], dtype=float32), 1.0, False, False, {})</span>
|
||
</pre></div>
|
||
</div>
|
||
<dl class="simple">
|
||
<dt>Change logs:</dt><dd><ul class="simple">
|
||
<li><p>v1.0.0 - Initially added</p></li>
|
||
</ul>
|
||
</dd>
|
||
</dl>
|
||
<dl class="field-list simple">
|
||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||
<dd class="field-odd"><ul class="simple">
|
||
<li><p><strong>env</strong> (<a class="reference internal" href="../../env/#gymnasium.Env" title="gymnasium.Env"><em>Env</em></a>) – the wrapped environment</p></li>
|
||
<li><p><strong>repeat_action_probability</strong> (<em>int</em><em> | </em><em>float</em>) – a probability of repeating the old action.</p></li>
|
||
</ul>
|
||
</dd>
|
||
</dl>
|
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<li><a class="reference internal" href="#gymnasium.wrappers.RescaleAction"><code class="docutils literal notranslate"><span class="pre">RescaleAction</span></code></a></li>
|
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<li><a class="reference internal" href="#gymnasium.wrappers.StickyAction"><code class="docutils literal notranslate"><span class="pre">StickyAction</span></code></a></li>
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innerText: key
|
||
}
|
||
))
|
||
// is not a list
|
||
if (sections[key].constructor !== Array) {
|
||
const subSections = sections[key];
|
||
const subSectionContainerElem = Object.assign(
|
||
document.createElement('div'), {
|
||
className:'farama-header-menu__subsections-container',
|
||
style: 'display: flex'
|
||
}
|
||
)
|
||
Object.keys(subSections).forEach((subKey, i) => {
|
||
const subSectionElem = Object.assign(
|
||
document.createElement('div'), {
|
||
className:'farama-header-menu__subsection',
|
||
}
|
||
)
|
||
subSectionElem.appendChild(Object.assign(document.createElement('span'),
|
||
{
|
||
className:'farama-header-menu__subsection-title' ,
|
||
innerText: subKey
|
||
}
|
||
))
|
||
const ulElem = createProjectsList(subSections[subKey], key !== 'Foundation');
|
||
subSectionElem.appendChild(ulElem);
|
||
subSectionContainerElem.appendChild(subSectionElem);
|
||
})
|
||
sectionElem.appendChild(subSectionContainerElem);
|
||
} else {
|
||
const projects = sections[key];
|
||
const ulElem = createProjectsList(projects, true);
|
||
sectionElem.appendChild(ulElem);
|
||
}
|
||
menuContainer.appendChild(sectionElem)
|
||
});
|
||
}
|
||
|
||
xhr.onerror = function() {
|
||
console.error("Unable to load projects");
|
||
};
|
||
|
||
xhr.send();
|
||
</script>
|
||
|
||
|
||
<script>
|
||
const versioningConfig = {
|
||
githubUser: 'Farama-Foundation',
|
||
githubRepo: 'Gymnasium',
|
||
};
|
||
fetch('/main/_static/versioning/versioning_menu.html').then(response => {
|
||
if (response.status === 200) {
|
||
response.text().then(text => {
|
||
const container = document.createElement("div");
|
||
container.innerHTML = text;
|
||
document.querySelector("body").appendChild(container);
|
||
// innerHtml doenst evaluate scripts, we need to add them dynamically
|
||
Array.from(container.querySelectorAll("script")).forEach(oldScript => {
|
||
const newScript = document.createElement("script");
|
||
Array.from(oldScript.attributes).forEach(attr => newScript.setAttribute(attr.name, attr.value));
|
||
newScript.appendChild(document.createTextNode(oldScript.innerHTML));
|
||
oldScript.parentNode.replaceChild(newScript, oldScript);
|
||
});
|
||
});
|
||
} else {
|
||
console.warn("Unable to load versioning menu", response);
|
||
}
|
||
});
|
||
</script>
|
||
|
||
</body>
|
||
</html> |