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<p>本位介绍了强化学习中解决Model-Free问题的两个基本解决思路：蒙特卡洛Monte Carlo与时间差分Temporal-Difference。</p>
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<h1 id="蒙特卡洛方法-Monte-Carlo-Methods"><a href="#蒙特卡洛方法-Monte-Carlo-Methods" class="headerlink" title="蒙特卡洛方法 Monte Carlo Methods"></a>蒙特卡洛方法 Monte Carlo Methods</h1><h1 id="时间差分学习-Temporal-Difference-Learning"><a href="#时间差分学习-Temporal-Difference-Learning" class="headerlink" title="时间差分学习 Temporal-Difference Learning"></a>时间差分学习 Temporal-Difference Learning</h1>
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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="/mc-td.html">Monte Carlo and Temporal-Difference</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>2019年05月13日 - 19:05</p>
<p><span>最后更新:</span>2019年05月13日 - 22:05</p>
<p><span>原始链接:</span><a href="/mc-td.html" title="Monte Carlo and Temporal-Difference">http://StepNeverStop.github.io/mc-td.html</a>
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