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๐Ÿ” avoidance learning ๐Ÿ“‚ Computer Science
Showing 46580 results for "avoidance learning" in Computer Science
Computer Science Preprint PDF DOI

Analyzing Symbolic Properties for DRL Agents in Systems and Networking

Mohammad Zangooei, Jannis Weil, Amr Rizk, Mina Tahmasbi Arashloo, Raouf Boutaba ยท 2026

Deep reinforcement learning (DRL) has shown remarkable performance on complex control problems in systems and networking, including adaptive video streaming, wireless resource management, and congestiโ€ฆ

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Computer Science Preprint PDF DOI

Demonstrating SIMA-Play: A Serious Game for Forest Management Decision-Making through Board Game and Digital Simulation

Arka Majhi, Daniel Fernandez Galeote, Timo Nummenmaa, Juho Hamari, Aaron Petty, Jari Vauhkonen, Heli Peltola ยท 2026

Board games have shown promise as educational tools, but their use in engaging learners with the complex, long-term trade-offs of forest management remains strikingly underdeveloped. Addressing this gโ€ฆ

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Computer Science Preprint PDF DOI

Scaling Coding Agents via Atomic Skills

Yingwei Ma, Yue Liu, Xinlong Yang, Yanhao Li, Kelin Fu, Yibo Miao, Yuchong Xie, Zhexu Wang, Shing-Chi Cheung ยท 2026

Current LLM coding agents are predominantly trained on composite benchmarks (e.g., bug fixing), which often leads to task-specific overfitting and limited generalization. To address this, we propose aโ€ฆ

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Artificial Intelligence and Cost Reduction in Public Higher Education: A Scoping Review of Emerging Evidence

Diamanto Tzanoulinou, Loukas Triantafyllopoulos, George Vorvilas, Evgenia Paxinou, Nikolaos Karousos, Thomas Dasaklis, Athanassios Mihiotis, Manolis Koutouzis, Dimitris Kalles, Vassilios S. Verykios ยท 2026

Public higher education systems face increasing financial pressures from expanding student populations, rising operational costs, and persistent demands for equitable access. Artificial Intelligence (โ€ฆ

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Computer Science Preprint PDF DOI

Beyond Hard Negatives: The Importance of Score Distribution in Knowledge Distillation for Dense Retrieval

Youngjoon Jang, Seongtae Hong, Hyeonseok Moon, Heuiseok Lim ยท 2026

Transferring knowledge from a cross-encoder teacher via Knowledge Distillation (KD) has become a standard paradigm for training retrieval models. While existing studies have largely focused on mining โ€ฆ

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Computer Science Preprint PDF DOI

A Multi-Agent Framework for Democratizing XR Content Creation in K-12 Classrooms

Yuan Chang, Zhu Li, Jiaming Qu ยท 2026

Generative AI (GenAI) combined with Extended Reality (XR) offers potential for K-12 education, yet classroom adoption remains limited by the high technical barrier of XR content authoring. Moreover, tโ€ฆ

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Neuromorphic Computing for Low-Power Artificial Intelligence

Keshava Katti, Pratik Chaudhari, Deep Jariwala ยท 2026

Classical computing is beginning to encounter fundamental limits of energy efficiency. This presents a challenge that can no longer be solved by strategies such as increasing circuit density or refiniโ€ฆ

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Who is the author? A legal and normative view of authorship in Generative AI-aided academic works

David M. Pereira ยท 2026

The widespread adoption of generative artificial intelligence (GenAI) tools in higher education has fundamentally altered the conditions under which academic work is produced, challenging long-standinโ€ฆ

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Mestra: Exploring Migration on Virtualized CGRAs

Agamemnon Kyriazis, Panagiotis Miliadis, Dimitris Theodoropoulos, Nectarios Koziris, Dionisios Pnevmatikatos ยท 2026

As modern Coarse Grain Reconfigurable Arrays (CGRAs) grow in size, efficient utilization of the available fabric by a single application becomes increasingly difficult. Existing CGRA mappers either faโ€ฆ

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Design Guidelines for Game-Based Refresher Training of Community Health Workers in Low-Resource Contexts

Arka Majhi, Aparajita Mondal, Satish B. Agnihotri ยท 2026

Community Health Workers (CHWs) play a critical role in delivering primary healthcare services in low-resource settings, yet sustaining their training and performance remains a persistent challenge. Pโ€ฆ

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Computer Science Preprint PDF DOI

LP-GEMM: Integrating Layout Propagation into GEMM Operations

Cesar Guedes Carneiro, Lucas Alvarenga, Guido Araujo, Sandro Rigo ยท 2026

In Scientific Computing and modern Machine Learning (ML) workloads, sequences of dependent General Matrix Multiplications (GEMMs) often dominate execution time. While state-of-the-art BLAS libraries aโ€ฆ

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SAIL: Scene-aware Adaptive Iterative Learning for Long-Tail Trajectory Prediction in Autonomous Vehicles

Bin Rao, Haicheng Liao, Chengyue Wang, Keqiang Li, Zhenning Li, Hai Yang ยท 2026

Autonomous vehicles (AVs) rely on accurate trajectory prediction for safe navigation in diverse traffic environments, yet existing models struggle with long-tail scenarios-rare but safety-critical eveโ€ฆ

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Digital Privacy in IoT: Exploring Challenges, Approaches and Open Issues

Shini Girija, Pranav M. Pawar, Raja Muthalagu, Mithun Mukherjee ยท 2026

Privacy has always been a critical issue in the digital era, particularly with the increasing use of Internet of Things (IoT) devices. As the IoT continues to transform industries such as healthcare, โ€ฆ

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Paper Espresso: From Paper Overload to Research Insight

Mingzhe Du, Luu Anh Tuan, Dong Huang, See-kiong Ng ยท 2026

The accelerating pace of scientific publishing makes it increasingly difficult for researchers to stay current. We present Paper Espresso, an open-source platform that automatically discovers, summariโ€ฆ

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EduIllustrate: Towards Scalable Automated Generation Of Multimodal Educational Content

Shuzhen Bi, Mingzi Zhang, Zhuoxuan Li, Xiaolong Wang, Keqian Li, Aimin Zhou ยท 2026

Large language models are increasingly used as educational assistants, yet evaluation of their educational capabilities remains concentrated on question-answering and tutoring tasks. A critical gap exโ€ฆ

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SLSREC: Self-Supervised Contrastive Learning for Adaptive Fusion of Long- and Short-Term User Interests

Wei Zhou, Yue Shen, Junkai Ji, Yinglan Feng, Xing Tang, Xiuqiang He, Liang Feng, Zexuan Zhu ยท 2026

User interests typically encompass both long-term preferences and short-term intentions, reflecting the dynamic nature of user behaviors across different timeframes. The uneven temporal distribution oโ€ฆ

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Retrieval Augmented Conversational Recommendation with Reinforcement Learning

Zhenrui Yue, Honglei Zhuang, Zhen Qin, Zhankui He, Huimin Zeng, Julian McAuley, Dong Wang ยท 2026

Large language models (LLMs) exhibit enhanced capabilities in language understanding and generation. By utilizing their embedded knowledge, LLMs are increasingly used as conversational recommender sysโ€ฆ

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Explainable Autonomous Cyber Defense using Adversarial Multi-Agent Reinforcement Learning

Yiyao Zhang, Diksha Goel, Hussain Ahmad ยท 2026

Autonomous agents are increasingly deployed in both offensive and defensive cyber operations, creating high-speed, closed-loop interactions in critical infrastructure environments. Advanced Persistentโ€ฆ

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Eliminating Vendor Lock-In in Quantum Machine Learning via Framework-Agnostic Neural Networks

Poornima Kumaresan, Shwetha Singaravelu, Lakshmi Rajendran, Santhosh Sivasubramani ยท 2026

Quantum machine learning (QML) stands at the intersection of quantum computing and artificial intelligence, offering the potential to solve problems that remain intractable for classical methods. Howeโ€ฆ

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Decoding Student Dialogue: A Multi-Dimensional Comparison and Bias Analysis of Large Language Models as Annotation Tools

Jie Cao, Zhanxin Hao, Jifan Yu ยท 2026

Educational dialogue is critical for decoding student learning processes, yet manual annotation remains time-consuming. This study evaluates the efficacy of GPT-5.2 and Gemini-3 using three prompting โ€ฆ

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