【5分鐘 Paper】Playing Atari with Deep Reinforcement Learning
論文題目：Playing Atari with Deep Reinforcement Learning 所解決的問題？ 解決從高維傳感器獲取數據而端到端實現控制的難題(以前很多都是使用手工提取的特徵)。所使用的例子：直接用圖像數據學會控制Atari遊戲，並且達到了人類水平。 背景 在這之前已經有很多研究工作是直接從高維數據直接獲取輸出結果的例子。如視覺和語音方面(文末參考文獻中有具體文獻)
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相關文章
- 1. Paper reading: Playing Atari with Deep Reinforcement Learning
- 2. Playing atari with deep reinforcement learning
- 3. Playing Atari with Deep Reinforcement Learning
- 4. 【5分鐘 Paper】Continuous Control With Deep Reinforcement Learning
- 5. 論文筆記：《Playing Atari with Deep Reinforcement Learning》
- 6. 【論文翻譯】Playing Atari with Deep Reinforcement Learning
- 7. NIPS-2013：Playing Atari with Deep Reinforcement Learning
- 8. Playing Atari with Deep Reinforcement Learning 中文 講解
- 9. 【5分鐘 Paper】Asynchronous Methods for Deep Reinforcement Learning
- 10. 【5分鐘 Paper】Deep Reinforcement Learning with Double Q-learning