Abstract: Multi-agent reinforcement learning (MARL) requires effective communication strategies to solve complex control tasks over uncertain communication channels. This paper explores a ...

Abstract: This paper introduces a novel dynamic graph learning approach for frequency graphs, underpinned by a suite of baseline methodologies and the Multi-scale Controllable Graph Convolutional ...

The problem of over-smoothing has emerged as a fundamental issue for Graph Convolutional Networks (GCNs). While existing efforts primarily focus on enhancing the discriminability of node ...

If you're not sure where to start when looking for the next multi-bagger, there are a few key trends you should keep ...

A financial “security” is nothing more than a claim on some stream of cash flows that investors expect to be delivered into ...

Sub‑100-ms APIs emerge from disciplined architecture using latency budgets, minimized hops, async fan‑out, layered caching, ...

To find a multi-bagger stock, what are the underlying trends we should look for in a business? Typically, we'll want ...

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...

Accurate smartphone positioning in dense urban environments remains challenging due to signal blockage, multipath effects, ...

Wired listening might be the ultimate in terms of sound quality, but for convenience, you can't beat a multi-room wireless system. Not only does it give you more versatility in terms of speaker ...

Returned to action a month later with an emphatic seven-length victory over 450m in the heats of the BetGoodwin Series Maiden ...

Casio updates key G-Shock models with brighter LED backlights, improved battery life, and modernized modules while retaining their classic designs.