Datasets that pair Knowledge Graphs (KG) and text together (KG-T) can be...
This study evaluates pilots' cognitive workload and situational awarenes...
We present a practical asynchronous data fusion model for networked agen...
Speech representation learning has improved both speech understanding an...
Class-based language models (LMs) have been long devised to address cont...
Recently, speech representation learning has improved many speech-relate...
The main challenge of large-scale cooperative multi-agent reinforcement
...
Existing distributed cooperative multi-agent reinforcement learning (MAR...
Recently introduced distributed zeroth-order optimization (ZOO) algorith...
This paper develops and evaluates the performance of an allocation agent...
In this paper, a novel approach to the output-feedback inverse reinforce...
Individual agents in a multi-agent system (MAS) may have decoupled open-...
Designing the optimal linear quadratic regulator (LQR) for a large-scale...
Motivated by decentralized approaches to machine learning, we propose a
...
Pre-trained language models have achieved state-of-the-art results in va...
We present a set of model-free, reduced-dimensional reinforcement learni...
The semantics of a text is manifested not only by what is read, but also...
In this article, we study the well known problem of wind estimation in
a...
Dialogue contexts are proven helpful in the spoken language understandin...
To deploy a spoken language understanding (SLU) model to a new language,...