Q学习-奖励
我正在努力解释 Q 学习算法的伪代码:
1 For each s, a initialize table entry Q(a, s) = 0
2 Observe current state s
3 Do forever:
4 Select an action a and execute it
5 Receive immediate reward r
6 Observe the new state s′ ← δ(a, s)
7 Update the table entry for Q(a, s) as follows:
8 Q( a, s ) ← R( s ) + γ * max Q( a′, s′ )
9 s ← s′
奖励应该从后续状态s'
还是当前状态中收取s
?