論文筆記：Dyna, an Integrated Architecture for Learning, Planning, and Reacting
文章基本概況 標題：Dyna, an Integrated Architecture for Learning, Planning, and Reacting 作者：Richard S. Sutton，強化學習教父，被認爲是現代計算的強化學習創立者之一。他爲該領域做出了許多重大貢獻，包括：時間差分學習（temporal difference learning）、策略梯度方法（policy grad
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相關文章
- 1. Planning and Learning
- 2. Reinforcement learning: integrating learning and planning, exploitation and exploration
- 3. 論文筆記-Learning Latent Dynamics for Planning from Pixels
- 4. 8 Planning and Learning with Tabular Methods
- 5. 論文筆記《Neural Architecture Search With Reinforcement Learning》
- 6. 論文筆記：Planning and Decision-Making for Autonomous Vehicles
- 7. 【論文筆記】SafeHidden: An Efficient and Secure Information
- 8. 論文筆記——NEURAL ARCHITECTURE SEARCH WITH REINFORCEMENT LEARNING
- 9. Cognitive Mapping and Planning for Visual Navigation 筆記
- 10. 論文筆記系列-Simple And Efficient Architecture Search For Neural Networks