论文笔记4：Language Understanding for Text-based Games using Deep Reinforcement Learning
参考资料：Language Understanding for Text-based Games Using ... 同名知乎：uuummmmiiii 由于本文进行了LSTM与DQN结合，在结构上其实并没有很大的新结构创新，粗略看了一下，了解了一下大致思想。 为帮助跟我一样的小白，如果有大神看到错误，还请您指出，谢谢~ 创新点：将DQN与LSTM结合去解决文字游戏(test-based game,
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相关文章
- 1. Language Understanding for TextGames using Deep Reinforcement
- 2. 论文阅读笔记（五十二）：Outline Objects using Deep Reinforcement Learning
- 3. Mastering Complex Control in MOBA Games with Deep Reinforcement Learning（论文笔记）
- 4. 论文笔记之：Asynchronous Methods for Deep Reinforcement Learning
- 5. Deep Reinforcement Learning with a Natural Language Action Space
- 6. 论文笔记：《Playing Atari with Deep Reinforcement Learning》
- 7. 论文阅读笔记：BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- 8. 论文笔记 understanding deep learning requires rethinking generalization
- 9. 论文笔记《BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding》
- 10. 论文：Robotic Arm Representation Using Image-Based Feedback for Deep Reinforcement Learning