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<h1><a href="https://nn.labml.ai/rl/dqn/index.html">深度问答网络 (DQN)</a></h1>
<p>这是一篇论文 <a href="https://pytorch.org">PyTorch</a> 实现<a href="https://papers.labml.ai/paper/1312.5602">与深度强化学习一起玩 Atari</a> 和<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">优先重播</a>和 Double Q 网络。</p>
<p>以下是<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><a href="https://app.labml.ai/run/fe1ad986237511ec86e8b763a2d3f710"><img alt="View Run" src="https://img.shields.io/badge/labml-experiment-brightgreen"></a></p>
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