A. M. Hafiz1, M. Hassaballah2,3,*, Abdullah Alqahtani3, Shtwai Alsubai3, Mohamed Abdel Hameed4
Computer Systems Science and Engineering, Vol.46, No.3, pp. 2651-2666, 2023, DOI:10.32604/csse.2023.031720
Abstract With the advent of Reinforcement Learning (RL) and its continuous
progress, state-of-the-art RL systems have come up for many challenging and
real-world tasks. Given the scope of this area, various techniques are found in
the literature. One such notable technique, Multiple Deep Q-Network (DQN) based
RL systems use multiple DQN-based-entities, which learn together and communicate with each other. The learning has to be distributed wisely among all entities in
such a scheme and the inter-entity communication protocol has to be carefully
designed. As more complex DQNs come to the fore, the overall complexity of these
multi-entity systems has increased many… More >
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