Playing Atari with Deep Reinforcement Learning 中文 讲解
引子 说到机器学习最酷的分支，非Deep learning和Reinforcement learning莫属（如下分别简称DL和RL）。这二者不只在实际应用中表现的很酷，在机器学习理论中也有不俗的表现。 DeepMind 工做人员合二者之精髓，在Stella模拟机上让机器本身玩了7个Atari 2600的游戏，结果是玩的冲出美洲，走向世界，超越了物种的局限。不只打败了其余机器人，甚至在其中3个游戏
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相关文章
- 1. Playing atari with deep reinforcement learning
- 2. Playing Atari with Deep Reinforcement Learning
- 3. 论文笔记：《Playing Atari with Deep Reinforcement Learning》
- 4. 【论文翻译】Playing Atari with Deep Reinforcement Learning
- 5. 【5分钟 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论文阅读【一】Playing Atari with Deep Reinforcement Learning
- 9. 【5分钟 Paper】Continuous Control With Deep Reinforcement Learning
- 10. COMA(一)： Learning to Communicate with Deep Multi-Agent Reinforcement Learning 论文讲解