论文笔记--Guided Meta-Policy Search
论文笔记-- Guided Meta-policy Search--nips19 核心思想 Guided Meta-Policy Search 元学习阶段（二阶段） 专家策略学习阶段（一阶段） 一点思考 核心思想 传统的元强化学习方法在meta-training过程中需要大量的数据，因为很多是on-policy的。在许多问题中很难满足。本文的思想是在元学习阶段（learn a RL procedu
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相关文章
- 1. Guided Anchoring 论文笔记
- 2. Person Search via A Mask-Guided Two-Stream CNN Model论文笔记
- 3. 【论文笔记】：Region Proposal by Guided Anchoring
- 4. 论文笔记：Region Proposal by Guided Anchoring
- 5. 【论文笔记】Region Proposal by Guided Anchoring
- 6. 论文笔记：DARTS: Differentiable Architecture Search
- 7. 论文笔记——NEURAL ARCHITECTURE SEARCH WITH REINFORCEMENT LEARNING
- 8. 论文笔记《Selective Search for object recognition》
- 9. 论文笔记：Progressive Neural Architecture Search
- 10. 论文笔记《Neural Architecture Search With Reinforcement Learning》