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<p>这篇论文主要提出了DPPO——Distributed PPO。</p>
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<h1 id="简介"><a href="#简介" class="headerlink" title="简介"></a>简介</h1><p>论文地址：<a href="http://arxiv.org/abs/1707.02286" rel="external nofollow" target="_blank">http://arxiv.org/abs/1707.02286</a></p>
<h1 id="文中精要"><a href="#文中精要" class="headerlink" title="文中精要"></a>文中精要</h1><p>作者提到PG算法通常具有高方差，而且策略对于超参数的选择十分敏感。很多种方法</p>
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<div style="text-align:center;color: #ccc;font-size:14px;">-------------本文结束<i class="fa fa-heart"></i>感谢您的阅读-------------</div>
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<p><span>本文标题:</span><a href="/dppo.html">Emergence of Locomotion Behaviours in Rich Environments</a></p>
<p><span>文章作者:</span><a href="/" title="访问 Keavnn 的个人博客">Keavnn</a></p>
<p><span>发布时间:</span>2020年04月11日 - 12:04</p>
<p><span>最后更新:</span>2020年04月11日 - 14:04</p>
<p><span>原始链接:</span><a href="/dppo.html" title="Emergence of Locomotion Behaviours in Rich Environments">http://StepNeverStop.github.io/dppo.html</a>
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