論文筆記：Learning how to Active Learn: A Deep Reinforcement Learning Approach
Learning how to Active Learn: A Deep Reinforcement Learning Approach 2018-03-11 12:56:04 Paper: https://www.aclweb.org/anthology/D17-1063 Code: https://github.com/mengf1/PAL 1. Introduction： 對於大
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相關文章
- 1. A Unified Game-Theoretic Approach to Multi-agent Reinforcement Learning
- 2. Learning how to learn
- 3. 【論文筆記】A Deep Learning Approach to the Citywide Traffic Accident Risk Prediction
- 4. Geoffrey Hinton's Capsule Networks: A Novel Approach to Deep Learning
- 5. 【論文筆記】Deep Learning on Graphs: A Survey
- 6. 論文閱讀筆記《Deep Meta-Learning: Learning to Learn in the Concept Space》
- 7. 論文筆記：《Playing Atari with Deep Reinforcement Learning》
- 8. 論文閱讀筆記（五十二）：Outline Objects using Deep Reinforcement Learning
- 9. 【論文筆記】PassGAN: A Deep Learning Approach for Password Guessing
- 10. 論文筆記之：Asynchronous Methods for Deep Reinforcement Learning