AI Agent

Scaffold or Crutch? Examining College Students' Use and Views of Generative AI Tools for STEM Education

Karen D. Wang, Zhangyang Wu, L'Nard Tufts, Carl Wieman, Shima Salehi, Nick Haber

专题命中 工具调用 ：tool use(abstract)；分类 cs.AI

Non-iterative Optimization of Trajectory and Radio Resource for Aerial Network

Hyeonsu Lyu, Jonggyu Jang, Harim Lee, Hyun Jong Yang

专题命中 工具调用 ：planning(abstract)；分类 cs.LG

Comments This paper has been accepted for publication in the IEEE Transactions on Wireless Communications

Resolving Multiple-Dynamic Model Uncertainty in Hypothesis-Driven Belief-MDPs

Ofer Dagan, Tyler Becker, Zachary N. Sunberg

专题命中 工具调用 ：agent(abstract)；分类 cs.AI

Comments 8 pages, 4 figures, submitted to AAMAS 2025

Shrinking POMCP: A Framework for Real-Time UAV Search and Rescue

Yunuo Zhang, Baiting Luo, Ayan Mukhopadhyay, Daniel Stojcsics, Daniel Elenius, Anirban Roy, Susmit Jha, Miklos Maroti, Xenofon Koutsoukos, Gabor Karsai, Abhishek Dubey

专题命中 工具调用 ：planning(abstract)；分类 cs.AI

Comments Accepted to the The 3rd International Conference on Assured Autonomy

Upside-Down Reinforcement Learning for More Interpretable Optimal Control

Juan Cardenas-Cartagena, Massimiliano Falzari, Marco Zullich, Matthia Sabatelli

专题命中 工具调用 ：planning(abstract)；分类 cs.LG

Reinforced Disentanglers on Random Unitary Circuits

Ning Bao, Keiichiro Furuya, Gun Suer

专题命中 工具调用 ：agent(abstract)；分类 cs.LG

Comments 9 pages, 7 figures, 1 table. Submitted to QIP 2025

Navigating AI in Social Work and Beyond: A Multidisciplinary Review

Matt Victor Dalziel, Krystal Schaffer, Neil Martin

专题命中 工具调用 ：tool use(abstract)；分类 cs.AI

Comments 30 pages

Learning Formal Mathematics From Intrinsic Motivation

Gabriel Poesia, David Broman, Nick Haber, Noah D. Goodman

专题命中 工具调用 ：agent(abstract)；分类 cs.AI

Comments NeurIPS 2024 Oral

Symbolic Equation Solving via Reinforcement Learning

Lennart Dabelow, Masahito Ueda

专题命中 工具调用 ：agent(abstract)；分类 cs.LG

Comments 15 pages, 5 figures + appendices 21 pages, 2 figures, 16 tables

Journal ref Neurocomputing 613, 128732 (2024)

Mixed variable structural optimization using mixed variable system Monte Carlo tree search formulation

Fu-Yao Ko, Katsuyuki Suzuki, Kazuo Yonekura

专题命中 工具调用 ：agent(abstract)；分类 cs.AI

Comments 37 pages, 19 figures, 7 tables. arXiv admin note: text overlap with arXiv:2309.06045

Multi-officer Routing for Patrolling High Risk Areas Jointly Learned from Check-ins, Crime and Incident Response Data

Shakila Khan Rumi, Kyle K. Qin, Flora D. Salim

专题命中 工具调用 ：planning(abstract)；分类 cs.LG

Comments 10 pages, 7 figures; This work has been submitted to the IEEE for possible publication

Enhancing Reinforcement Learning Through Guided Search

Jérôme Arjonilla, Abdallah Saffidine, Tristan Cazenave

专题命中 工具调用 ：agent(abstract)；分类 cs.AI

Comments Accepted Paper at ECAI 2024; Extended Version

Soft Attention: Does it Actually Help to Learn Social Interactions in Pedestrian Trajectory Prediction?

Laurent Boucaud, Daniel Aloise, Nicolas Saunier

专题命中 工具调用 ：tool use(abstract)；分类 cs.LG

Comments This work has been submitted to the IEEE for possible publication

Applying Neural Monte Carlo Tree Search to Unsignalized Multi-intersection Scheduling for Autonomous Vehicles

Yucheng Shi, Wenlong Wang, Xiaowen Tao, Ivana Dusparic, Vinny Cahill

专题命中 工具调用 ：agent(abstract)；分类 cs.AI

NutrifyAI: An AI-Powered System for Real-Time Food Detection, Nutritional Analysis, and Personalized Meal Recommendations

Michelle Han, Junyao Chen, Zhengyuan Zhou

专题命中 工具调用 ：planning(abstract)；分类 cs.AI

Comments 4 pages, 8 figures

You Shall Know a Tool by the Traces it Leaves: The Predictability of Sentiment Analysis Tools

Daniel Baumartz, Mevlüt Bagci, Alexander Henlein, Maxim Konca, Andy Lücking, Alexander Mehler

专题命中 工具调用 ：tool use(abstract)；分类 cs.CL

Language-Model-Assisted Bi-Level Programming for Reward Learning from Internet Videos

Harsh Mahesheka, Zhixian Xie, Zhaoran Wang, Wanxin Jin

专题命中 工具调用 ：agent(abstract)；分类 cs.AI

Improved Compositional Generalization by Generating Demonstrations for Meta-Learning

Sam Spilsbury, Pekka Marttinen, Alexander Ilin

专题命中 工具调用 ：agent(abstract)；分类 cs.CL

Comments EMNLP 2024

Designing a Classifier for Active Fire Detection from Multispectral Satellite Imagery Using Neural Architecture Search

Amber Cassimon, Phil Reiter, Siegfried Mercelis, Kevin Mets

专题命中 工具调用 ：agent(abstract)；分类 cs.LG

Comments Added IEEE Submission Notice

Meta-Learning from Learning Curves for Budget-Limited Algorithm Selection

Manh Hung Nguyen, Lisheng Sun-Hosoya, Isabelle Guyon

专题命中 工具调用 ：agent(abstract)；分类 cs.LG

Journal ref Pattern Recognition Letters, 2024, 185, pp.225-231

Web Retrieval Agents for Evidence-Based Misinformation Detection

Jacob-Junqi Tian, Hao Yu, Yury Orlovskiy, Tyler Vergho, Mauricio Rivera, Mayank Goel, Zachary Yang, Jean-Francois Godbout, Reihaneh Rabbany, Kellin Pelrine

专题命中 工具调用 ：agent(abstract)；分类 cs.AI

Comments 1 main figure, 8 tables, 10 pages, 12 figures in Appendix, 7 tables in Appendix GitHub URL: https://github.com/ComplexData-MILA/webretrieval

Novel machine learning applications at the LHC

Javier M. Duarte

专题命中 工具调用 ：tool use(abstract)；分类 cs.LG

Comments 10 pages, 10 figures, 42nd International Conference on High Energy Physics (ICHEP 2024)

LLM With Tools: A Survey

Zhuocheng Shen

专题命中 工具调用 ：tool use(abstract)；分类 cs.AI

Comments 10 pages

LLM-dCache: Improving Tool-Augmented LLMs with GPT-Driven Localized Data Caching

Simranjit Singh, Michael Fore, Andreas Karatzas, Chaehong Lee, Yanan Jian, Longfei Shangguan, Fuxun Yu, Iraklis Anagnostopoulos, Dimitrios Stamoulis

专题命中 工具调用 ：agent(abstract)；分类 cs.CL

Comments ICECS 2024 Camera-Ready

Selective Exploration and Information Gathering in Search and Rescue Using Hierarchical Learning Guided by Natural Language Input

Dimitrios Panagopoulos, Adolfo Perrusquia, Weisi Guo

专题命中 工具调用 ：agent(abstract)；分类 cs.CL

Comments Pre-print version of the accepted paper to appear in IEEE International Conference on Systems, Man and Cybernetics (SMC) 2024

Reinforcement Learning as an Improvement Heuristic for Real-World Production Scheduling

Arthur Müller, Lukas Vollenkemper

专题命中 工具调用 ：agent(abstract)；分类 cs.LG

Comments This paper was accepted at the ICMLA 2024

Thesis proposal: Are We Losing Textual Diversity to Natural Language Processing?

Josef Jon

专题命中 工具调用 ：planning(abstract)；分类 cs.CL

Enhancing Decision-Making for LLM Agents via Step-Level Q-Value Models

Yuanzhao Zhai, Tingkai Yang, Kele Xu, Feng Dawei, Cheng Yang, Bo Ding, Huaimin Wang

专题命中 工具调用 ：agent(abstract)；分类 cs.AI

Machine Learning and Constraint Programming for Efficient Healthcare Scheduling

Aymen Ben Said, Malek Mouhoub

专题命中 工具调用 ：planning(abstract)；分类 cs.AI

Simulation-based Scenario Generation for Robust Hybrid AI for Autonomy

Hambisa Keno, Nicholas J. Pioch, Christopher Guagliano, Timothy H. Chung

专题命中 工具调用 ：workflow(abstract)；分类 cs.AI

Comments 6 pages, 5 figures, 1 table