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Showing 346661 results for "avoidance learning"
AI & Data Science Preprint PDF DOI

NeSyCat: A Monad-Based Categorical Semantics of the Neurosymbolic ULLER Framework

Daniel Romero Schellhorn, Till Mossakowski ยท 2026

ULLER (Unified Language for LEarning and Reasoning) offers a unified first-order logic (FOL) syntax, enabling its knowledge bases to be used directly across a wide range of neurosymbolic systems. The โ€ฆ

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AI & Data Science Preprint PDF DOI

Uncovering Latent Patterns in Social Media Usage and Mental Health: A Clustering-Based Approach Using Unsupervised Machine Learning

Md All Shahria, Sanjeda Dewan Mithila, Touhid Alam, Mohammad Sakib Mahmood, Mahfuza Khatun ยท 2026

The widespread adoption of social media has heightened interest in its psychological effects, particularly on mental health indicators such as anxiety, depression, loneliness, and sleep quality, as thโ€ฆ

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Computer Science Preprint PDF DOI

Learning to Route Queries to Heads for Attention-based Re-ranking with Large Language Models

Yuxing Tian, Fengran Mo, Zhiqi Huang, Weixu Zhang, Jian-Yun Nie ยท 2026

Large Language Models (LLMs) have recently been explored as fine-grained zero-shot re-rankers by leveraging attention signals to estimate document relevance. However, existing methods either aggregateโ€ฆ

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Chemistry Preprint PDF DOI

Errors that matter: Uncertainty-aware universal machine-learning potentials calibrated on experiments

Matthias Kellner, Teitur Hansen, Thomas Bligaard, Karsten Wedel Jacobsen, Michele Ceriotti ยท 2026

Machine-learning models of atomic-scale interactions achieve the accuracy of the quantum mechanical calculations on which they are trained, but at a dramatically lower computational cost. Their predicโ€ฆ

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Engineering Preprint PDF DOI

Hybrid A*-Based Reverse Path-Planning of a Vehicle with Trailer System

Xincheng Cao, Haochong Chen, Bilin Aksun-Guvenc, Levent Guvenc, Brian Link, Peter J Richmond, Dokyung Yim, Shihong Fan, John Harber ยท 2026

Reverse parking maneuvering of a vehicle with trailer system is a difficult task to complete for human drivers due to the multi-body nature of the system and the unintuitive controls required to orienโ€ฆ

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AI & Data Science Preprint PDF DOI

Fraud Detection in Cryptocurrency Markets with Spatio-Temporal Graph Neural Networks

Lidia Losavio, Luca Persia, Madan Sathe, Dimosthenis Pasadakis ยท 2026

Technological advancements in cryptocurrency markets have increased accessibility for investors, but concurrently exposed them to the risks of market manipulations. Existing fraud detection mechanismsโ€ฆ

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AI & Data Science Preprint PDF DOI

Improving Vision-language Models with Perception-centric Process Reward Models

Yingqian Min, Kun Zhou, Yifan Li, Yuhuan Wu, Han Peng, Yifan Du, Wayne Xin Zhao, Min Yang, Ji-Rong Wen ยท 2026

Recent advancements in reinforcement learning with verifiable rewards (RLVR) have significantly improved the complex reasoning ability of vision-language models (VLMs). However, its outcome-level supeโ€ฆ

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AI & Data Science Preprint PDF DOI

Negative Ontology of True Target for Machine Learning: Towards Evaluation and Learning under Democratic Supervision

Yongquan Yang ยท 2026

This article philosophically examines how shifts in assumptions regarding the existence and non-existence of the true target (TT) give rise to new perspectives and insights for machine learning (ML)-bโ€ฆ

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Chemistry Preprint PDF DOI

Enhancing molecular dynamics with equivariant machine-learned densities

Mihail Bogojeski, Muhammad R. Hasyim, Leslie Vogt-Maranto, Klaus-Robert Muller, Kieron Burke, Mark E. Tuckerman ยท 2026

Machine-learning interatomic potentials (MLIPs) have enabled molecular dynamics at near ab initio accuracy, yet remain limited to energies and forces by construction, leaving electronic observables suโ€ฆ

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AI & Data Science Preprint PDF DOI

Hierarchical Behaviour Spaces

Michael Tryfan Matthews, Anssi Kanervisto, Jakob Foerster, Pierluca D'Oro, Scott Fujimoto, Mikael Henaff ยท 2026

Recent work in hierarchical reinforcement learning has shown success in scaling to billions of timesteps when learning over a set of predefined option reward functions. We show that, instead of using โ€ฆ

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AI & Data Science Preprint PDF DOI

Efficient learning by implicit exploration in bandit problems with side observations

Tomas Kocak, Gergely Neu, Michal Valko, Remi Munos ยท 2026

We consider online learning problems under a partial observability model capturing situations where the information conveyed to the learner is between full information and bandit feedback. In the simpโ€ฆ

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Computer Science Preprint PDF DOI

BoomHQ: Learning to Boost Multiple Hybrid Queries on Vector DBMSs

Ermu Qiu, Tianyi Chen, Jun Gao, Xing Wei, Yaofeng Tu, Yinjun Han, Yang Lin ยท 2026

Hybrid queries, which combine vector nearest neighbor searches with scalar predicates, represent a fundamental challenge in managing vector databases. Existing methods often restrict the number of vecโ€ฆ

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AI & Data Science Preprint PDF DOI

GradMAP: Gradient-Based Multi-Agent Proximal Learning for Grid-Edge Flexibility

Yihong Zhou, Hongtai Zeng, Thomas Morstyn ยท 2026

Coordinating large populations of grid-edge devices requires learning methods that remain fully decentralised in deployment while still respecting three-phase AC distribution-network physics. This papโ€ฆ

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AI & Data Science Preprint PDF DOI

A Reward-Free Viewpoint on Multi-Objective Reinforcement Learning

Ying-Tu Chen, Wei Hung, Bing-Shu Wu, Zhang-Wei Hong, Ping-Chun Hsieh ยท 2026

Many sequential decision-making tasks involve optimizing multiple conflicting objectives, requiring policies that adapt to different user preferences. In multi-objective reinforcement learning (MORL),โ€ฆ

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Computer Science Preprint PDF DOI

A systematic literature Review for Transformer-based Software Vulnerability detection

Fiza Naseer, Javed Ali Khan, Muhammad Yaqoob, Alexios Mylonas, Ishaya Gambo ยท 2026

Context: Software vulnerabilities pose significant security threats to software systems, especially as software is increasingly used across many areas of daily life, including health, government, and โ€ฆ

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Computer Science Preprint PDF DOI

How Do Software Engineering Students Use Generative AI in Real-World Capstone Projects? An Empirical Baseline Study

Michael Mircea, Elisa Schmid, Jakob Droste, Kurt Schneider ยท 2026

Real-world Capstone Projects (RWCPs) are a key component of software engineering education, enabling students to develop software for external clients under authentic conditions. Their high ecologicalโ€ฆ

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Engineering Preprint PDF DOI

Sliding Mode Control for Safe Trajectory Tracking with Moving Obstacles Avoidance: Experimental Validation on Planar Robots

Shubham Sawarkar, P Sangeerth, S Saharsh, Pushpak Jagtap ยท 2026

This paper presents a unified control framework for robust trajectory tracking and moving obstacle avoidance applicable to a broad class of mobile robots. By formulating a generalized kinematic transfโ€ฆ

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Physics Preprint PDF DOI

StarCLR: Contrastive Learning Representation for Astronomical Light Curves

Junyao Ding, Xiaodian Chen, Xinyi Gao, Xiaoyu Tang, Shu Wang, Yang Huang, Xinyu Qi, Guirong Xue, Ali Luo, Jifeng Liu ยท 2026

With the rapid development of time-domain surveys, the availability of massive light curve data offers new opportunities for studying stellar evolution and variable star classification, while simultanโ€ฆ

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AI & Data Science Preprint PDF DOI

SEARCH-R: Structured Entity-Aware Retrieval with Chain-of-Reasoning Navigator for Multi-hop Question Answering

Yuqing Fu, Yimin Deng, Wanyu Wang, Yuhao Wang, Yejing Wang, Hongshi Liu, Yiqi Wang, Xiao Han, Maolin Wang, Guoshuai Zhao, Yi Chang, Xiangyu Zhao ยท 2026

Multi-hop Question Answering (MHQA) aims to answer questions that require multi-step reasoning. It presents two key challenges: generating correct reasoning paths in response to the complex user queriโ€ฆ

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AI & Data Science Preprint PDF DOI

SceneSelect: Selective Learning for Trajectory Scene Classification and Expert Scheduling

Xinrun Wang, Deshun Xia, Ke Xu, Weijie Zhu ยท 2026

Accurate trajectory prediction is fundamentally challenging due to high scene heterogeneity - the severe variance in motion velocity, spatial density, and interaction patterns across different real-woโ€ฆ

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