3 天前 - … of manipulator control, which calculates the joint angles required for the end effector
to … large computation and long solution time. This paper proposes a reinforcement learning-…

4 天前 - … are jointly considered. Specifically, we exploit functions to evaluate the computational
benefit of different tasks. Then, we devise a joint resource allocation scheme, which jointly …

4 天前 - … DRL-based methods to jointly design intelligent content prediction, content access,
and content replacement strategies for multi-objective joint optimization of proactive caching…

8 天前 - … , by jointly optimizing the heterogeneous computing … on multi-agent deep
reinforcement learning (MADRL), we … edge computing network: A deep reinforcement learning …

9 天前 - … the reliability of computing resource allocation and … the computation offloading
and resource pricing joint optimization problem in the UAV-enabled vehicular edge computing …

9 天前 - … perception module of reinforcement learning algorithms by jointly encoding human–…
existing typical navigation algorithms based on deep reinforcement learning; see Fig. 5. …

10 天前 - … For instance, the training of SE models demands substantial computing and … deep
learning-based joint source-channel coding. The ability to design deep learning-based joint …

12 天前 - … [9] investigated the joint optimization of computation offloading and resource allocation
… deep reinforcement learning (DRL). By jointly optimizing the allocation of computation …

13 天前 - … Therefore, we propose to jointly optimize the computing and network of UAV clusters
to achieve better performance. To the best of our knowledge, we are the first paper to unite …

13 天前 - … We propose an innovative model-free deep reinforcement … equations to compute
the filtered state estimate ̂xs … Next, we consider a joint design approach in Algorithm B1…