UAV Detection Using Reinforcement Learning

. 2024 Mar 14;24(6):1870. doi: 10.3390/s24061870

Algorithm 1 REINFORCE

1:
Input $α$ learning rate, $γ$ discounted factor
2:
Initialize environment E
3:
Initialize policy parameters $θ$
4:
for episode in 1 …N do
5:
Use $π (s | θ) t o c o l l e c t | E | t r a j e c t o r i e s : S_{0}, A_{0}, R_{0}, \dots, R_{T}$
6:
$G = 0$
7:
for t = $T - 1$ … 0 do
8:
$G = R_{t} + γ G$
9:
Compute entropy regularization $E R_{t} = - \sum_{α} π (A_{t} | S_{t}) L o g π (A_{t} | S_{t})$
10:
$\hat{J (θ_{t})} = γ^{t} G L o g π (A_{t} | S_{t}, θ_{t}) - E R_{t}$
11:
$θ_{t + 1} = θ_{t} + α \nabla \hat{J (θ_{t})}$
12:
end for
13:
end for