Deep Reinforcement Learning 基礎知識（DQN方面 ）
解釋的挺清楚的 Introduction 深度增強學習Deep Reinforcement Learning是將深度學習與增強學習結合起來從而實現從Perception感知到Action動作的端對端學習的一種全新的算法。簡單的說，就是和人類一樣，輸入感知信息比如視覺，然後通過深度神經網絡，直接輸出動作，中間沒有hand-crafted工作。深度增強學習具備使機器人實現完全自主的學習一種甚至多種技能
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相關文章
- 1. Deep Reinforcement Learning
- 2. 【強化學習】DQN(Deep reinforcement learning) Basic
- 3. Generating Text with Deep Reinforcement Learning
- 4. 零基礎10分鐘運行DQN圖文教程 Playing Flappy Bird Using Deep Reinforcement Learning (Based on Deep Q Learning DQN
- 5. Relational Deep Reinforcement Learning
- 6. Reinforcement learning and Deep learning
- 7. Continuous control with Deep Reinforcement Learning
- 8. RL論文閱讀【四】Deep Reinforcement Learning with Double Q-learning（Double DQN）
- 9. Deep Reinforcement Learning Variants ofMulti-Agent Learning Algorithms
- 10. Deep Reinforcement Learning for List-wise Recommendations