Results 201 to 210 of about 1,601 (294)
Credit‐Driven Adaptive Grouping for Refined Cooperative Multi‐Agent Reinforcement Learning
ABSTRACT Policy heterogeneity is crucial for achieving sophisticated coordination in complex collaborative tasks, which has emerged as one of the key challenges in multi‐agent reinforcement learning (MARL) in recent years. Notably, the grouping paradigm has made remarkable progress in addressing policy heterogeneity.
Yirui Liu +6 more
wiley +1 more source
Quantum-like Qualia hypothesis: from quantum cognition to quantum perception. [PDF]
Tsuchiya N +4 more
europepmc +1 more source
Diversified Composite Prompting to Enhance Generalisation of Vision‐Language Models
ABSTRACT In recent years, prompt learning has shown promise in transferring pretrained vision‐language models (VLMs) to downstream tasks. However, existing methods face two challenges in improving generalisation: (1) When leveraging the collaborative effect of multimodal prompts, it is often assumed that text and visual modalities share the same prompt
Xiaoyong Mei +5 more
wiley +1 more source
ABSTRACT Parameter‐efficient fine‐tuning (PEFT) has become a crucial paradigm for domain adaptation, achieving strong performance by updating only a small fraction of model parameters. Among various PEFT methods, low‐rank adaptation (LoRA) is widely adopted due to its structural simplicity and computational efficiency.
Xu Luo +4 more
wiley +1 more source
Beyond Local Domains: Connective Ontology in (Post-)Cognitive Sociology. [PDF]
Fletcher JR.
europepmc +1 more source
Video Super‐Resolution via Effective Spatio‐Temporal Alignment Network
ABSTRACT Extracting spatio‐temporal cues from neighbouring frames is challenging in video super‐resolution (VSR). Although deformable alignment‐based VSR methods have shown promise in aligning neighbouring frames with the reference frame, most existing methods rely on one or a few traditional convolutions to estimate motion offsets for spatio‐temporal ...
Bin Guo +7 more
wiley +1 more source
ABSTRACT Accurate identification of broadband oscillation types is a prerequisite for implementing appropriate control strategies. The strongly nonlinear, nonstationary and multi‐modal characteristics of broadband oscillation signals impose higher demands on identification methods. Practical applications face challenges such as coupling effects between
Jinduo Yang +7 more
wiley +1 more source
Abstract Accurate state of health (SOH) estimation is crucial for the safe operation of lithium‐ion batteries. To address the limited capability of traditional models in characterizing nonlinear degradation, this study proposes a novel data‐driven SOH estimation framework.
Yumin Zhang +6 more
wiley +1 more source
The illusion of internal models in biological movement. [PDF]
Mangalam M.
europepmc +1 more source
Citizens are more willing to co‐produce when participants represent community demographics
Abstract Despite co‐production's potential to address democratic deficits, the role of representation in co‐production and its impact on public perceptions remain largely under‐analysed empirically. Employing a vignette survey design, this study tests how representation in co‐production affects citizens’ intentions to get involved.
Wonhyuk Cho +3 more
wiley +1 more source

