Paper reading: Playing Atari with Deep Reinforcement Learning
論文的Motivation是大部分效果比較好的RL算法都是基於大量的人工特徵，而Deep Neural Network（CNN等）已經在圖像等領域被證明具有很好的直接從原始數據中提取高層特徵的能力，因此很自然的想到將Deep Neural Network與RL算法結合。 但是Deep learning與reinforcement learning有很大的不同： 1. deep learning 在
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相關文章
- 1. 【5分鐘 Paper】Playing Atari with Deep Reinforcement Learning
- 2. Playing Atari with Deep Reinforcement Learning
- 3. Playing atari with deep reinforcement learning
- 4. NIPS-2013：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. 【5分鐘 Paper】Continuous Control With Deep Reinforcement Learning
- 9. RL論文閱讀【一】Playing Atari with Deep Reinforcement Learning
- 10. #Paper reading#DeepInf: Social Influence Prediction with Deep Learning