The Implementation of Deep Reinforcement Learning in E-Learning and Distance Learning: Remote Practical Work

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Component</td><td class="align_center">Description</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Programming language</td><td class="align_center">Python 3.8.3 and LabVIEW 2017</td></tr><tr><td class="align_left">Operating system</td><td class="align_center">Windows 10, 64 bit</td></tr><tr><td class="align_left">GPU</td><td class="align_center">NVIDIA NVS 315</td></tr><tr><td class="align_left">Library and framework</td><td class="align_center">Jupyter Notebook</td></tr><tr><td class="align_left">CPU</td><td class="align_center">Intel(R) Xeon(R) CPU E5-2603 v4 @ 1.70 GHz</td></tr><tr><td class="align_left">Memory</td><td class="align_center">24 GB</td></tr><tr><td class="align_left">Recommendation Modules</td><td class="align_center">Deep reinforcement learning</td></tr><tr><td class="align_left">Optimization algorithm</td><td class="align_center">Model-free optimization</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The development system information.</div>

Mobile Information Systems

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Table 2

Table 2: The Implementation of Deep Reinforcement Learning in E-Learning and Distance Learning: Remote Practical Work 