NIPS-2013：Playing Atari with Deep Reinforcement Learning

时间 2021-01-01

标签增强学习 DQN 神经网络繁體版

原文原文链接

感谢作者的翻译与总结 http://blog.csdn.NET/songrotek/article/details/50581011 来源：NIPS 2013 作者：DeepMind 理解基础：增强学习基本知识深度学习特别是卷积神经网络的基本知识创新点：第一个将深度学习模型与增强学习结合在一起从而成功地直接从高维的输入学习控制策略具体是将卷积神经网络和Q Learning结合在一起。卷积

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1. Playing Atari with Deep Reinforcement Learning
2. Playing atari with deep reinforcement learning
3. Paper reading: Playing Atari with Deep Reinforcement Learning
4. 【5分钟 Paper】Playing Atari with Deep Reinforcement Learning
5. Playing Atari with Deep Reinforcement Learning 中文讲解
6. 论文笔记：《Playing Atari with Deep Reinforcement Learning》
7. 【论文翻译】Playing Atari with Deep Reinforcement Learning
8. RL论文阅读【一】Playing Atari with Deep Reinforcement Learning
9. 【5分钟 Paper】Continuous Control With Deep Reinforcement Learning
10. Continuous control with Deep Reinforcement Learning
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1. Playing Atari with Deep Reinforcement Learning
2. Playing atari with deep reinforcement learning
3. Paper reading: Playing Atari with Deep Reinforcement Learning
4. 【5分钟 Paper】Playing Atari with Deep Reinforcement Learning
5. Playing Atari with Deep Reinforcement Learning 中文讲解
6. 论文笔记：《Playing Atari with Deep Reinforcement Learning》
7. 【论文翻译】Playing Atari with Deep Reinforcement Learning
8. RL论文阅读【一】Playing Atari with Deep Reinforcement Learning
9. 【5分钟 Paper】Continuous Control With Deep Reinforcement Learning
10. Continuous control with Deep Reinforcement Learning

>>更多相关文章<<