Deep Reinforcement Learning (DRL) has recently witnessed significant advances that have led to multiple successes in solving sequential decision-making problems various domains, particularly wireless communications. The next generation of networks is expected provide scalable, low-latency, ultra-reliable services empowered by the application data-driven Artificial Intelligence (AI). key enablin...

for biostratigraphic studies, based on calcareous nannofossils, a thickness of 480 meters of cretaceous deposits in shushud section (north birjand) has been measured and sampled. the studied section is composed of shale, marl, marine sandstone and sandy limestone. the shale and marl units were more suitable for sampling. according to taxonomical studies, 10 genera and 25 species in shushud sect...

The exploitation of extra state information has been an active research area in multi-agent reinforcement learning (MARL). QMIX represents the joint action-value using a non-negative function approximator and achieves best performance on StarCraft II micromanagement testbed, common MARL benchmark. However, our experiments demonstrate that, some cases, performs sub-optimally with A2C framework, ...

Federated learning (FL) is a training technique that enables client devices to jointly learn shared model by aggregating locally computed models without exposing their raw data. While most of the existing work focuses on improving FL accuracy, in this paper, we focus efficiency, which often hurdle for adopting real world applications. Specifically, design an efficient framework optimizes proces...

This work explores the large-scale multi-agent communication mechanism for reinforcement learning (MARL). We summarize general topology categories structures, which are often manually specified in MARL literature. A novel framework termed Learning Structured Communication (LSC) is proposed by a flexible and efficient (hierarchical structure). It contains two modules: structured module communica...

This research investigates the seasonal ground heave/settlement of an area covered by expansive soil Cyprus called Nicosia marl, highlighting degree influence main causal factors. For this purpose, existing geotechnical data from archives Geological Survey were first collected and processed to compile maps key parameters in study area. In order estimate movements area, Earth Observation (EO) te...

In future wireless systems, latency of information needs to be minimized satisfy the requirements many mission-critical applications. Meanwhile, not all terminals carry equally-urgent packets given their distinct situations, e.g., status freshness. Leveraging this feature, we propose an on-demand Medium Access Control (MAC) scheme, whereby each terminal transmits with dynamically adjusted aggre...

A chemical budget analysis for Williams Lake, Minnesota, tracks the seasonal progression of carbon inputs and outputs. CO, exchanges with the atmosphere reverse seasonally, with uptake by the lake in summer preceded and followed by larger losses to the atmosphere. Calcium bicarbonate-rich groundwaters seep steadily into the lake, augmented by remobilization of lacustrine marls. Most of the carb...

Multi-agent reinforcement learning (MARL) has long been a significant research topic in both machine and control systems. Recent development of (single-agent) deep created resurgence interest developing new MARL algorithms, especially those founded on theoretical analysis. In this paper, we review recent advances sub-area topic: decentralized with networked agents. scenario, multiple agents per...