NIPS-2013：Playing Atari with Deep Reinforcement Learning
感謝作者的翻譯與總結 http://blog.csdn.NET/songrotek/article/details/50581011 來源：NIPS 2013 作者：DeepMind 理解基礎： 增強學習基本知識 深度學習 特別是卷積神經網絡的基本知識 創新點：第一個將深度學習模型與增強學習結合在一起從而成功地直接從高維的輸入學習控制策略 具體是將卷積神經網絡和Q Learning結合在一起。卷積
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相關文章
- 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分鐘 Paper】Playing Atari with Deep Reinforcement Learning
- 5. Playing Atari with Deep Reinforcement Learning 中文 講解
- 6. 論文筆記：《Playing Atari with Deep Reinforcement Learning》
- 7. 【論文翻譯】Playing Atari with Deep Reinforcement Learning
- 8. RL論文閱讀【一】Playing Atari with Deep Reinforcement Learning
- 9. 【5分鐘 Paper】Continuous Control With Deep Reinforcement Learning
- 10. Continuous control with Deep Reinforcement Learning