論文筆記4：Language Understanding for Text-based Games using Deep Reinforcement Learning
參考資料：Language Understanding for Text-based Games Using ... 同名知乎：uuummmmiiii 由於本文進行了LSTM與DQN結合，在結構上其實並沒有很大的新結構創新，粗略看了一下，瞭解了一下大致思想。 爲幫助跟我一樣的小白，如果有大神看到錯誤，還請您指出，謝謝~ 創新點：將DQN與LSTM結合去解決文字遊戲(test-based game,
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相關文章
- 1. Language Understanding for TextGames using Deep Reinforcement
- 2. 論文閱讀筆記（五十二）：Outline Objects using Deep Reinforcement Learning
- 3. Mastering Complex Control in MOBA Games with Deep Reinforcement Learning（論文筆記）
- 4. 論文筆記之：Asynchronous Methods for Deep Reinforcement Learning
- 5. Deep Reinforcement Learning with a Natural Language Action Space
- 6. 論文筆記：《Playing Atari with Deep Reinforcement Learning》
- 7. 論文閱讀筆記：BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- 8. 論文筆記 understanding deep learning requires rethinking generalization
- 9. 論文筆記《BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding》
- 10. 論文：Robotic Arm Representation Using Image-Based Feedback for Deep Reinforcement Learning