論文筆記-Learning Latent Dynamics for Planning from Pixels
Learning Latent Dynamics for Planning from Pixels 1 介紹 輸入圖像經過編碼網絡(灰色梯形)變成隱藏狀態(綠色)，然後隱藏狀態可以被映射成獎勵和圖片。 爲了預演，我們將當前圖片經過編碼網絡變成當前隱藏狀態變成綠色，然後進行各個序列的虛擬預測，計算各個序列的獎勵，最後返回最好序列的第一個action執行 2 算法 Deep planning net
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相關文章
- 1. (轉) Deep Reinforcement Learning: Pong from Pixels
- 2. 論文筆記：Dyna, an Integrated Architecture for Learning, Planning, and Reacting
- 3. 論文筆記：Insights from the Future for Continual Learning
- 4. 論文筆記：DEEP LEARNING FOR MONAURAL SPEECH SEPARATION
- 5. Deep Reinforcement Learning: Pong from Pixels
- 6. 論文筆記《LEARNING SPARQL QUERIES FROM EXPECTED RESULTS》
- 7. Learning from Monocular Videos 論文筆記(轉)
- 8. 論文筆記：Learning Denoising from Single Noisy Images
- 9. Learning from Noisy Anchors for One-stage Object Detection 論文筆記
- 10. 【論文筆記】Learning from Synthetic Data for Crowd Counting in the Wild