firstlawrobotics.github.io/code.html at master · firstlawrobotics/firstlawrobotics.github.io · GitHub

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<TITLE>First Law</TITLE>
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<ul>
 <li> <a href="index.html"> Home </a> </li>
 <li>   <a href="about.html"> About </a> </li>
 <li> <a href="sensorDefeat.html"> Theory </a> </li>
  <li> <a href="writeups.html"> Publications </a> </li>
</ul>

<h2><b> Code Releases </b></h2>

<h4> 17JUN20: <a href="https://github.com/firstlawrobotics/doom-agent/tree/25ce424d801d25cf77b1acd9ff1949c9f5a14d98">Auto-Aim Assisted Training</a> </h4>
<p>Primitive auto-aim is used to create high quality initial training data for Q-learning, allowing agent to rapidly understand aiming.</p>


<h4> 03JUN20: <a href="https://github.com/firstlawrobotics/rayCastingMinimap/tree/b31e2f639c3f72e38471ff64d2abd7bc2d31bd24">Real Time Deadspace Heatmap</a> </h4>
<p> Made some modifications to the raycasting map, converted the minimap to a heatmap that is refreshed and decays in real time. </p>
<p> I still need money to train this. </p>


<h4> 08DEC19: <a href="https://github.com/firstlawrobotics/rayCastingMinimap/tree/53d48e3aa139b1ce4b3ab7e7c7876685def56411">Raycasting Reward Function</a> </h4>
<p> A fork of a simple raycasting example, I added a miniMap function that identifies cleared space, dead space, and walls and implements a decay function for cleared space to force agents to reprioritize it. </p>


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