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Table 2 Comparison of testing results with wm=0.5 for all mobile users

From: Decentralized computation offloading for multi-user mobile edge computing: a deep reinforcement learning approach

 

Average reward

Average power (watt)

Average delay (ms)

 

User 1

User 2

User 3

User 1

User 2

User 3

User 1

User 2

User 3

DDPG

− 1.770

− 5.670

− 12.782

0.205

0.774

1.939

1.489

3.600

6.174

DQN

− 2.174

− 7.657

− 14.688

0.292

1.156

2.320

1.428

3.753

6.176

GD-Offload

− 2.514

− 7.597

− 18.690

0.402

1.309

3.143

1.007

2.103

5.951

GD-Local

− 1.633

− 9.504

− 20.071

0.216

1.678

3.407

1.106

2.228

6.072