Deep Reinforcement Learning-Based Task Offloading for Parked Vehicle Cooperation in Vehicular Edge Computing

Algorithm 1

The optimal resources allocation.

(1)	Input the set of tasks T, the maximum resources can be assigned to each task rmax, and the total available resources of the parking cluster .
(2)	use R as the current available computing resources of the parking cluster, initialize R = .
(3)	while do
(4)	if R > 0 then
(5)	for each task i in set T do
(6)	for each m (m ≤ rmax and m < R) do
(7)	Select the i and m with minimized , denoted as i0 and m0
(8)	end for
(9)	end for
(10)	else
(11)	break;
(12)	allocate m0 resources to task i0
(13)	T: = T − i0
(14)	R: = R − m0
(15)	end if
(16)	end while