3 accepted papers
Credit assignment is a critical problem in multi-agent reinforcement learning (MARL), aiming to identify agents' marginal contributions for optimizing cooperative policies. Current credit assignment methods typically assume synchronous decision-making among agents. However, many real-world scenarios
Traditional automatic speech recognition (ASR) models face challenges when deployed on edge devices due to their high computational requirements and storage demands. To address this issue, we present a novel ASR system specifically designed for edge applications, encompassing both keyword spotting (…
Crowd counting from unconstrained and congested scenes is an important task in computer vision. Its main difficulties stem from large scale/density variation and prone to over-fitting. This paper presents a novel end-to-end stochastic multi-scale aggregation network (SMANet) which carefully addresse…