Knowledge distillation (KD) has been widely adopted to compress large language models
(LLMs). Existing KD methods investigate various divergence measures including the …

Knowledge distillation (KD) has become a prevalent technique for compressing large
language models (LLMs). Existing KD methods are constrained by the need for identical …

This article proposes an exploration technique for multiagent reinforcement learning (MARL)
with graph-based communication among agents. We assume that the individual rewards …

This paper investigates a Terminal Line-of-Sight Angle-Constrained Target Tracking
Guidance (TLATT) for Unmanned Surface Vehicles (USVs). Dynamic target tracking …

Intelligent unmanned tugboats have the potential to significantly improve the efficiency of
barge manipulation. This paper investigates the kinetic modelling, optimal force distribution …

This paper proposes a safety modulator actor-critic (SMAC) method to address safety
constraint and overestimation mitigation in model-free safe reinforcement learning (RL). A …

Extended reality (XR) and machine learning (ML) are becoming pivotal enabling
technologies in smart manufacturing, particularly for optimizing complex/multi-step …