Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Abstract: Large language models (LLMs) have recently attracted significant attention and permeated diverse fields and disciplines. This paper aims to investigate the efficacy of LLMs in efficiently ...

A new Japan immigration policy plans stricter residency, citizenship and monitoring rules for foreigners—but the changes ...

Abstract: Multi-agent systems appear in a wide variety of fields and there have been several studies on multi-agent reinforcement learning. Dilemma problems are typical classes of multi-agent problems ...

ASER 2024 reveals a modest recovery in foundational literacy and numeracy among students post-COVID, highlighting ongoing ...