Shuo Jiang

Multi-agent reinforcement learning with directed exploration and selective memory reuse

2021

Many tasks require cooperation and coordination of multiple agents. Multi-agent reinforcement learning (MARL) can effectively learn solutions to these problems, but exploration and local optima problems are still open research topics. In this paper, we …

RiQ-KGC: Relation Instantiation Enhanced Quaternionic Attention for Complex-Relation Knowledge Graph Completion

2024 · Applied Sciences

A knowledge graph is a structured semantic network designed to describe physical entities and relations in the world. A comprehensive and accurate knowledge graph is essential for tasks such as knowledge inference and recommendation systems, …