chore: import upstream snapshot with attribution

2026-07-13 12:19:01 +08:00
commit 3b90d1192f
2172 changed files with 594509 additions and 0 deletions
@@ -0,0 +1,129 @@
+<!DOCTYPE html>
+<html lang="zh">
+<head>
+    <meta http-equiv="content-type" content="text/html;charset=utf-8"/>
+    <meta name="viewport" content="width=device-width, initial-scale=1.0"/>
+    <meta name="description" content=""/>
+
+    <meta name="twitter:card" content="summary"/>
+    <meta name="twitter:image:src" content="https://avatars1.githubusercontent.com/u/64068543?s=400&amp;v=4"/>
+    <meta name="twitter:title" content="深度问答网络 (DQN)"/>
+    <meta name="twitter:description" content=""/>
+    <meta name="twitter:site" content="@labmlai"/>
+    <meta name="twitter:creator" content="@labmlai"/>
+
+    <meta property="og:url" content="https://nn.labml.ai/rl/dqn/readme.html"/>
+    <meta property="og:title" content="深度问答网络 (DQN)"/>
+    <meta property="og:image" content="https://avatars1.githubusercontent.com/u/64068543?s=400&amp;v=4"/>
+    <meta property="og:site_name" content="深度问答网络 (DQN)"/>
+    <meta property="og:type" content="object"/>
+    <meta property="og:title" content="深度问答网络 (DQN)"/>
+    <meta property="og:description" content=""/>
+
+    <title>深度问答网络 (DQN)</title>
+    <link rel="shortcut icon" href="/icon.png"/>
+    <link rel="stylesheet" href="../../pylit.css?v=1">
+    <link rel="canonical" href="https://nn.labml.ai/rl/dqn/readme.html"/>
+    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/katex@0.13.18/dist/katex.min.css" integrity="sha384-zTROYFVGOfTw7JV7KUu8udsvW2fx4lWOsCEDqhBreBwlHI4ioVRtmIvEThzJHGET" crossorigin="anonymous">
+
+    <!-- Global site tag (gtag.js) - Google Analytics -->
+    <script async src="https://www.googletagmanager.com/gtag/js?id=G-4V3HC8HBLH"></script>
+    <script>
+        window.dataLayer = window.dataLayer || [];
+
+        function gtag() {
+            dataLayer.push(arguments);
+        }
+
+        gtag('js', new Date());
+
+        gtag('config', 'G-4V3HC8HBLH');
+    </script>
+</head>
+<body>
+<div id='container'>
+    <div id="background"></div>
+    <div class='section'>
+        <div class='docs'>
+            <p>
+                <a class="parent" href="/">home</a>
+                <a class="parent" href="../index.html">rl</a>
+                <a class="parent" href="index.html">dqn</a>
+            </p>
+            <p>
+                <a href="https://github.com/labmlai/annotated_deep_learning_paper_implementations" target="_blank">
+                    <img alt="Github"
+                         src="https://img.shields.io/github/stars/labmlai/annotated_deep_learning_paper_implementations?style=social"
+                         style="max-width:100%;"/></a>
+                <a href="https://twitter.com/labmlai" rel="nofollow" target="_blank">
+                    <img alt="Twitter"
+                         src="https://img.shields.io/twitter/follow/labmlai?style=social"
+                         style="max-width:100%;"/></a>
+            </p>
+            <p>
+                <a href="https://github.com/labmlai/annotated_deep_learning_paper_implementations/tree/master/labml_nn/rl/dqn/readme.md" target="_blank">
+                    View code on Github</a>
+            </p>
+        </div>
+    </div>
+    <div class='section' id='section-0'>
+        <div class='docs'>
+            <div class='section-link'>
+                <a href='#section-0'>#</a>
+            </div>
+            <h1><a href="https://nn.labml.ai/rl/dqn/index.html">深度 Q 网络 (DQN)</a></h1>
+<p>这是 <a href="https://pytorch.org">PyTorch</a> 实现的 PyTorch <a href="https://arxiv.org/abs/1312.5602">使用深度强化学习玩雅</a>达利以及<a href="https://nn.labml.ai/rl/dqn/model.html">决斗网络</a>、<a href="https://nn.labml.ai/rl/dqn/replay_buffer.html">优先回放</a>和 Double Q Network。</p>
+<p>这是<a href="https://nn.labml.ai/rl/dqn/experiment.html">实验</a>和<a href="https://nn.labml.ai/rl/dqn/model.html">模型</a>实现。</p>
+<p><a href="https://colab.research.google.com/github/labmlai/annotated_deep_learning_paper_implementations/blob/master/labml_nn/rl/dqn/experiment.ipynb"><img alt="Open In Colab" src="https://colab.research.google.com/assets/colab-badge.svg"></a></p>
+
+        </div>
+        <div class='code'>
+            
+        </div>
+    </div>
+    <div class='footer'>
+        <a href="https://labml.ai">labml.ai</a>
+    </div>
+</div>
+<script src=../../interactive.js?v=1"></script>
+<script>
+    function handleImages() {
+        var images = document.querySelectorAll('p>img')
+
+        for (var i = 0; i < images.length; ++i) {
+            handleImage(images[i])
+        }
+    }
+
+    function handleImage(img) {
+        img.parentElement.style.textAlign = 'center'
+
+        var modal = document.createElement('div')
+        modal.id = 'modal'
+
+        var modalContent = document.createElement('div')
+        modal.appendChild(modalContent)
+
+        var modalImage = document.createElement('img')
+        modalContent.appendChild(modalImage)
+
+        var span = document.createElement('span')
+        span.classList.add('close')
+        span.textContent = 'x'
+        modal.appendChild(span)
+
+        img.onclick = function () {
+            console.log('clicked')
+            document.body.appendChild(modal)
+            modalImage.src = img.src
+        }
+
+        span.onclick = function () {
+            document.body.removeChild(modal)
+        }
+    }
+
+    handleImages()
+</script>
+</body>
+</html>