On-policy vs. off-policy deep reinforcement learning for resource allocation in open radio access network

N Hammami, KK Nguyen - 2022 IEEE Wireless …, 2022 - ieeexplore.ieee.org
Recently, Deep Reinforcement Learning (DRL) has increasingly been used to solve
complex problems in mobile networks. There are two main types of DRL models: off-policy …
被引用次数：14 相关文章
[PDF] researchgate.net

[PDF][PDF] On-Policy vs. Off-Policy Deep Reinforcement Learning for Resource Allocation in Open Radio Access Network

N Hammami, KK Nguyen - researchgate.net
Recently, Deep Reinforcement Learning (DRL) has increasingly been used to solve
complex problems in mobile networks. There are two main types of DRL models: off-policy …

[引用][C] On-policy vs. Off-policy deep reinforcement learning for resource allocation in open radio access network

N Hammami, KK Nguyen - 2022 - espace2.etsmtl.ca
On-policy vs. Off-policy deep reinforcement learning for resource allocation in open radio access
network - Espace ÉTS ENGLISH Logo La vitrine de diffusion des publications et contributions …

On-Policy vs. Off-Policy Deep Reinforcement Learning for Resource Allocation in Open Radio Access Network

N Hammami, KK Nguyen - 2022 IEEE Wireless Communications and …, 2022 - dl.acm.org
Recently, Deep Reinforcement Learning (DRL) has increasingly been used to solve
complex problems in mobile networks. There are two main types of DRL models: off-policy …

[引用][C] On-policy vs. Off-policy deep reinforcement learning for resource allocation in open radio access network

N Hammami, KK Nguyen - 2022 - espace2.etsmtl.ca
On-policy vs. Off-policy deep reinforcement learning for resource allocation in open radio access
network - Espace ÉTS ENGLISH Logo La vitrine de diffusion des publications et contributions …