GitHub - Captain-Named/reinforcement-learning-notes: Lecture notes of the RL course on bilibili(BV1sd4y167NS).

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
L1-basic concepts.pdf		L1-basic concepts.pdf
L10_Actor Critic.pdf		L10_Actor Critic.pdf
L2-Bellman equation.pdf		L2-Bellman equation.pdf
L3-Bellman optimality equation[can obtain optimal svs&optiaml simultaneously policy by solving boe].pdf		L3-Bellman optimality equation[can obtain optimal svs&optiaml simultaneously policy by solving boe].pdf
L4-Value iteration and policy iteration[after policy updating or improvement, sv hasnt been updated immediately].pdf		L4-Value iteration and policy iteration[after policy updating or improvement, sv hasnt been updated immediately].pdf
L5-MC.pdf		L5-MC.pdf
L6-Stochastic approximation and stochastic gradient descent.pdf		L6-Stochastic approximation and stochastic gradient descent.pdf
L7-Temporal-difference learning.pdf		L7-Temporal-difference learning.pdf
L8_Value function approximation.pdf		L8_Value function approximation.pdf
L9_Policy gradient.pdf		L9_Policy gradient.pdf