論文總結：Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
論文地址：https://github.com/borninfreedom/DeepLearning/tree/master/Papers DeepBlue: evaluate positions using features hand-crafted by human grandmasters and carefully tuned weights,combined with a high-pe
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相關文章
- 1. Neural Architecture Search with Reinforcement Learning論文總結
- 2. Mastering Complex Control in MOBA Games with Deep Reinforcement Learning（論文筆記）
- 3. 《reinforcement learning：an introduction》第八章《Planning and Learning with Tabular Methods》總結
- 4. [論文閱讀] Day 2 Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion
- 5. 《Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning》
- 6. A-star algorithm learning
- 7. 論文筆記 Reinforcement Learning with Derivative-Free Exploration
- 8. 【論文翻譯】Playing Atari with Deep Reinforcement Learning
- 9. 論文筆記《Neural Architecture Search With Reinforcement Learning》
- 10. 《A Hierarchical Framework for Relation Extraction with Reinforcement Learning》論文整理