Reinforcement Learning: Planning by DP

時間 2020-12-24

標籤強化學習 UCL 简体版

原文原文鏈接

Policy Evaluation Iterative Policy Evaluation Policy Iteration Value Iteration Asynchronous DP In-place DP Prioritised Sweeping Real-time DP Full-Width Backups Sample Backups 轉載請註明出處： http://blog.csdn

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1. [Reinforcement Learning] 動態規劃(Planning)
2. Reinforcement Learning——DP
3. David Silver《Reinforcement Learning》課程解讀—— Lecture 3： Planning by Dynamic Programming
4. Planning by Dynamic Programming
5. Reinforcement learning: integrating learning and planning, exploitation and exploration
6. CS231N-14-Reinforcement Learning
7. Lecture1: Introduction to Reinforcement Learning
8. 《reinforcement learning：an introduction》第八章《Planning and Learning with Tabular Methods》總結
9. Planning and Learning
10. David Silver《Reinforcement Learning》課程解讀—— Lecture 1： Introduction to Reinforcement Learning
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1. [Reinforcement Learning] 動態規劃(Planning)
2. Reinforcement Learning——DP
3. David Silver《Reinforcement Learning》課程解讀—— Lecture 3： Planning by Dynamic Programming
4. Planning by Dynamic Programming
5. Reinforcement learning: integrating learning and planning, exploitation and exploration
6. CS231N-14-Reinforcement Learning
7. Lecture1: Introduction to Reinforcement Learning
8. 《reinforcement learning：an introduction》第八章《Planning and Learning with Tabular Methods》總結
9. Planning and Learning
10. David Silver《Reinforcement Learning》課程解讀—— Lecture 1： Introduction to Reinforcement Learning

>>更多相關文章<<