IEEE

Meta Learning Task Representation in Multiagent Reinforcement Learning: From Global Inference to Local Inference

Abstract: Multiagent meta reinforcement learning (MAMRL) enables multiagent systems (MASs) to adapt to multiple tasks. However, partial observability poses a significant challenge by hindering ...

Le Xiu Advances Bilingual Education Through Mixed-Methods Research on Online Learning and Generative AI Integration

Research published through UCLA establishes frameworks for bilingual students' learning in digital mathematics environments, addressing ...
EurekAlert!

Explanation-based retrieval boosts grammatical error correction

Grammatical error correction (GEC) is a key task in natural language processing (NLP), widely applied in education, news, and ...
IEEE

FEDORA: Federated Ensemble Reinforcement Learning for DAG-Based Task Offloading and Resource Allocation in MEC

Abstract: The increasing demand for compute intensive Internet of Things (IoT) applications has accelerated the adoption of multiaccess-edge computing (MEC) to offload tasks from resource constrained ...