Quality Enhanced Multimedia Content Delivery for Mobile Cloud with Deep Reinforcement Learning

Algorithm 1

ADQ Training.

Input: State

Output: Optimal policy to select action

Initialization: Experience Replay Memory D, Online Network Weights , Target Network Weights , online action

value function Q, target action value function , k=i=0

(1)   for  video-episode i=1 to E do

(2) Initialize state sequence for received selected video episode

(3)  for  m=1 to M do

(4)  Select action a according to є- greedy policy from Q with probability

(5)  Execute action a and observe reward

(6)  Set and preprocess the state

(7)  

(8)  Store transition in D

(9)  Sample a mini batch of tuples from distributed prioritized replay memory D

(10)   // A is all possible set of actions

(11)   Determine

(12)         

(13)  reset

(14)  s=

(15)  end for

(16)  end for