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Updated tutorial and docs (#386)

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Improved getting started tutorial, and updated docs to point to version 1.0.0
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Gal Novik
2019-08-05 16:46:15 +03:00
committed by GitHub
parent c1d1fae342
commit 92460736bc
12 changed files with 135 additions and 127 deletions
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6
docs/_sources/index.rst.txt
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@@ -27,7 +27,9 @@ Blog posts from the Intel® AI website:
* `Release 0.11.0 <https://ai.intel.com/rl-coach-data-science-at-scale/>`_
* Release 0.12.0 (current release)
* `Release 0.12.0 <https://github.com/NervanaSystems/coach/releases/tag/v0.12.0>`_
* `Release 1.0.0 <https://www.intel.ai/rl-coach-new-release>`_ (current release)
You can find more details in the `GitHub repository <https://github.com/NervanaSystems/coach>`_.
@@ -75,5 +77,3 @@ You can find more details in the `GitHub repository <https://github.com/NervanaS
components/core_types
components/spaces
components/additional_parameters

2
docs/components/agents/index.html
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@@ -512,7 +512,7 @@ given observation</p>
<dl class="method">
<dt id="rl_coach.agents.agent.Agent.prepare_batch_for_inference">
<code class="sig-name descname">prepare_batch_for_inference</code><span class="sig-paren">(</span><em class="sig-param">states: Union[Dict[str, numpy.ndarray], List[Dict[str, numpy.ndarray]]], network_name: str</em><span class="sig-paren">)</span> &#x2192; Dict[str, numpy.core.multiarray.array]<a class="reference internal" href="../../_modules/rl_coach/agents/agent.html#Agent.prepare_batch_for_inference"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#rl_coach.agents.agent.Agent.prepare_batch_for_inference" title="Permalink to this definition"></a></dt>
<code class="sig-name descname">prepare_batch_for_inference</code><span class="sig-paren">(</span><em class="sig-param">states: Union[Dict[str, numpy.ndarray], List[Dict[str, numpy.ndarray]]], network_name: str</em><span class="sig-paren">)</span> &#x2192; Dict[str, numpy.array]<a class="reference internal" href="../../_modules/rl_coach/agents/agent.html#Agent.prepare_batch_for_inference"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#rl_coach.agents.agent.Agent.prepare_batch_for_inference" title="Permalink to this definition"></a></dt>
<dd><p>Convert curr_state into input tensors tensorflow is expecting. i.e. if we have several inputs states, stack all
observations together, measurements together, etc.</p>
<dl class="field-list simple">

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docs/features/algorithms.html
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@@ -95,6 +95,7 @@
<li class="toctree-l2 current"><a class="current reference internal" href="#">Algorithms</a></li>
<li class="toctree-l2"><a class="reference internal" href="environments.html">Environments</a></li>
<li class="toctree-l2"><a class="reference internal" href="benchmarks.html">Benchmarks</a></li>
<li class="toctree-l2"><a class="reference internal" href="batch_rl.html">Batch Reinforcement Learning</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="../selecting_an_algorithm.html">Selecting an Algorithm</a></li>

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docs/features/benchmarks.html
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@@ -37,7 +37,7 @@
<link rel="stylesheet" href="../_static/css/custom.css" type="text/css" />
<link rel="index" title="Index" href="../genindex.html" />
<link rel="search" title="Search" href="../search.html" />
<link rel="next" title="Selecting an Algorithm" href="../selecting_an_algorithm.html" />
<link rel="next" title="Batch Reinforcement Learning" href="batch_rl.html" />
<link rel="prev" title="Environments" href="environments.html" />
<link href="../_static/css/custom.css" rel="stylesheet" type="text/css">
@@ -95,6 +95,7 @@
<li class="toctree-l2"><a class="reference internal" href="algorithms.html">Algorithms</a></li>
<li class="toctree-l2"><a class="reference internal" href="environments.html">Environments</a></li>
<li class="toctree-l2 current"><a class="current reference internal" href="#">Benchmarks</a></li>
<li class="toctree-l2"><a class="reference internal" href="batch_rl.html">Batch Reinforcement Learning</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="../selecting_an_algorithm.html">Selecting an Algorithm</a></li>
@@ -220,7 +221,7 @@ benchmarks stay intact as Coach continues to develop.</p>
<div class="rst-footer-buttons" role="navigation" aria-label="footer navigation">
<a href="../selecting_an_algorithm.html" class="btn btn-neutral float-right" title="Selecting an Algorithm" accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right"></span></a>
<a href="batch_rl.html" class="btn btn-neutral float-right" title="Batch Reinforcement Learning" accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right"></span></a>
<a href="environments.html" class="btn btn-neutral float-left" title="Environments" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left"></span> Previous</a>

1
docs/features/environments.html
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@@ -95,6 +95,7 @@
<li class="toctree-l2"><a class="reference internal" href="algorithms.html">Algorithms</a></li>
<li class="toctree-l2 current"><a class="current reference internal" href="#">Environments</a></li>
<li class="toctree-l2"><a class="reference internal" href="benchmarks.html">Benchmarks</a></li>
<li class="toctree-l2"><a class="reference internal" href="batch_rl.html">Batch Reinforcement Learning</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="../selecting_an_algorithm.html">Selecting an Algorithm</a></li>

3
docs/index.html
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@@ -198,7 +198,8 @@ Coach collects statistics from the training process and supports advanced visual
<li><p><a class="reference external" href="https://ai.intel.com/reinforcement-learning-coach-carla-qr-dqn/">Release 0.9.0</a></p></li>
<li><p><a class="reference external" href="https://ai.intel.com/introducing-reinforcement-learning-coach-0-10-0/)">Release 0.10.0</a></p></li>
<li><p><a class="reference external" href="https://ai.intel.com/rl-coach-data-science-at-scale/">Release 0.11.0</a></p></li>
<li><p>Release 0.12.0 (current release)</p></li>
<li><p><a class="reference external" href="https://github.com/NervanaSystems/coach/releases/tag/v0.12.0">Release 0.12.0</a></p></li>
<li><p><a class="reference external" href="https://www.intel.ai/rl-coach-new-release">Release 1.0.0</a> (current release)</p></li>
</ul>
<p>You can find more details in the <a class="reference external" href="https://github.com/NervanaSystems/coach">GitHub repository</a>.</p>
<div class="toctree-wrapper compound">

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docs/searchindex.js
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docs/selecting_an_algorithm.html
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@@ -38,7 +38,7 @@
<link rel="index" title="Index" href="genindex.html" />
<link rel="search" title="Search" href="search.html" />
<link rel="next" title="Coach Dashboard" href="dashboard.html" />
<link rel="prev" title="Benchmarks" href="features/benchmarks.html" />
<link rel="prev" title="Batch Reinforcement Learning" href="features/batch_rl.html" />
<link href="_static/css/custom.css" rel="stylesheet" type="text/css">
</head>
@@ -475,7 +475,7 @@ algorithms for imitation learning in Coach.</p>
<a href="dashboard.html" class="btn btn-neutral float-right" title="Coach Dashboard" accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right"></span></a>
<a href="features/benchmarks.html" class="btn btn-neutral float-left" title="Benchmarks" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left"></span> Previous</a>
<a href="features/batch_rl.html" class="btn btn-neutral float-left" title="Batch Reinforcement Learning" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left"></span> Previous</a>
</div>

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docs/test.html
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@@ -439,7 +439,7 @@ given observation</p>
<dl class="method">
<dt id="rl_coach.agents.dqn_agent.DQNAgent.prepare_batch_for_inference">
<code class="sig-name descname">prepare_batch_for_inference</code><span class="sig-paren">(</span><em class="sig-param">states: Union[Dict[str, numpy.ndarray], List[Dict[str, numpy.ndarray]]], network_name: str</em><span class="sig-paren">)</span> &#x2192; Dict[str, numpy.core.multiarray.array]<a class="headerlink" href="#rl_coach.agents.dqn_agent.DQNAgent.prepare_batch_for_inference" title="Permalink to this definition"></a></dt>
<code class="sig-name descname">prepare_batch_for_inference</code><span class="sig-paren">(</span><em class="sig-param">states: Union[Dict[str, numpy.ndarray], List[Dict[str, numpy.ndarray]]], network_name: str</em><span class="sig-paren">)</span> &#x2192; Dict[str, numpy.array]<a class="headerlink" href="#rl_coach.agents.dqn_agent.DQNAgent.prepare_batch_for_inference" title="Permalink to this definition"></a></dt>
<dd><p>Convert curr_state into input tensors tensorflow is expecting. i.e. if we have several inputs states, stack all
observations together, measurements together, etc.</p>
<dl class="field-list simple">