Playing Atari with Deep Reinforcement Learning 中文 講解
引子 說到機器學習最酷的分支，非Deep learning和Reinforcement learning莫屬（如下分別簡稱DL和RL）。這二者不只在實際應用中表現的很酷，在機器學習理論中也有不俗的表現。 DeepMind 工做人員合二者之精髓，在Stella模擬機上讓機器本身玩了7個Atari 2600的遊戲，結果是玩的衝出美洲，走向世界，超越了物種的侷限。不只打敗了其餘機器人，甚至在其中3個遊戲
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相關文章
- 1. Playing atari with deep reinforcement learning
- 2. Playing Atari with Deep Reinforcement Learning
- 3. 論文筆記：《Playing Atari with Deep Reinforcement Learning》
- 4. 【論文翻譯】Playing Atari with Deep Reinforcement Learning
- 5. 【5分鐘 Paper】Playing Atari with Deep Reinforcement Learning
- 6. NIPS-2013：Playing Atari with Deep Reinforcement Learning
- 7. Paper reading: 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. COMA(一)： Learning to Communicate with Deep Multi-Agent Reinforcement Learning 論文講解