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Home / Librarys / 量化学习笔记 / Book-Mathematical-Foundation-of-Reinforcement-Learning-main / Lecture slides / slidesContinuouslyUpdated

File   EditTime Size
L10-Actor Critic.pdf 2025-05-16 07:15:12 718.05 KB
L1-Basic concepts.pdf 2025-05-16 07:15:12 590.68 KB
L2-Bellman equation.pdf 2025-05-16 07:15:12 628.9 KB
L3-Bellman optimality equation.pdf 2025-05-16 07:15:12 557.82 KB
L4-Value iteration and policy iteration.pdf 2025-05-16 07:15:12 573.33 KB
L5-Monte Carlo methods.pdf 2025-05-16 07:15:12 798.74 KB
L6-Stochastic approximation.pdf 2025-05-16 07:15:12 772.78 KB
L7-Temporal-Difference Learning.pdf 2025-05-16 07:15:12 742.82 KB
L8-Value function methods.pdf.pdf 2025-05-16 07:15:12 1.48 MB
L9-Policy gradient methods.pdf 2025-05-16 07:15:12 474.26 KB
2025-06-07 00:12:40 Saturday 216.73.216.247 Runningtime:0.006s Mem:452.98 KB