Deep reinforcement learning for multiple agents in a decentralized architecture: A case study in the telecommunication domain

H Zhang, J Li, Z Qi, A Aronsson… - 2023 IEEE 20th …, 2023 - ieeexplore.ieee.org
Deep reinforcement learning has made significant development in recent years, and it is
currently applied not only in simulators and games but also in embedded systems. However …
被引用次数：4 相关文章

[引用][C] Deep Reinforcement Learning for Multiple Agents in a Decentralized Architecture: A Case Study in the Telecommunication Domain

H Zhang, HH Olsson, J Bosch… - 2023 IEEE 20th …, 2023 - dialnet.unirioja.es

Deep Reinforcement Learning for Multiple Agents in a Decentralized Architecture: A Case Study in the Telecommunication Domain

H Zhang, J Li, Z Qi, A Aronsson, J Bosch… - IEEE 20th International …, 2023 - diva-portal.org
Deep reinforcement learning has made significant development in recent years, and it is
currently applied not only in simulators and games but also in embedded systems. However …

Deep Reinforcement Learning for Multiple Agents in a Decentralized Architecture: A Case Study in the Telecommunication Domain

H Zhang, J Li, Z Qi, A Aronsson, J Bosch… - 2023 IEEE 20th …, 2023 - computer.org
Deep reinforcement learning has made significant development in recent years, and it is
currently applied not only in simulators and games but also in embedded systems. However …