AI Agent

A Sequential Decision-Making Model for Perimeter Identification

Ayal Taitler

专题命中 工具调用 ：agent(abstract)；分类 cs.AI

Ancestral Reinforcement Learning: Unifying Zeroth-Order Optimization and Genetic Algorithms for Reinforcement Learning

So Nakashima, Tetsuya J. Kobayashi

专题命中 工具调用 ：agent(abstract)；分类 cs.LG

Comments 16pages, 3 figures

ACE, a generic constraint solver

Christophe Lecoutre

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

Robotic warehousing operations: a learn-then-optimize approach to large-scale neighborhood search

Cynthia Barnhart, Alexandre Jacquillat, Alexandria Schmid

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

Hermes 3 Technical Report

Ryan Teknium, Jeffrey Quesnelle, Chen Guang

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

On the Identifiability of Sparse ICA without Assuming Non-Gaussianity

Ignavier Ng, Yujia Zheng, Xinshuai Dong, Kun Zhang

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

Comments NeurIPS 2023

DeepREST: Automated Test Case Generation for REST APIs Exploiting Deep Reinforcement Learning

Davide Corradini, Zeno Montolli, Michele Pasqua, Mariano Ceccato

专题命中 工具调用 ：agent(abstract)；分类 cs.SE

Coverage measurement in model-based testing of web applications: Tool support and an industrial experience report

Vahid Garousi, Alper Buğra Keleş, Yunus Balaman, Alper Mermer, Zeynep Özdemir Güler

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

A Jailbroken GenAI Model Can Cause Substantial Harm: GenAI-powered Applications are Vulnerable to PromptWares

Stav Cohen, Ron Bitton, Ben Nassi

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

Comments Website, see https://sites.google.com/view/promptware

Improved Monte Carlo tree search formulation with multiple root nodes for discrete sizing optimization of truss structures

Fu-Yao Ko, Katsuyuki Suzuki, Kazuo Yonekura

专题命中 工具调用 ：agent(abstract)；分类 cs.AI

Comments 34 pages, 24 figures, 16 tables

Autoverse: An Evolvable Game Language for Learning Robust Embodied Agents

Sam Earle, Julian Togelius

专题命中 工具调用 ：agent(abstract)；分类 cs.AI

Comments 9 pages, 4 figures

A Safe Exploration Strategy for Model-free Task Adaptation in Safety-constrained Grid Environments

Erfan Entezami, Mahsa Sahebdel, Dhawal Gupta

专题命中 工具调用 ：agent(abstract)；分类 cs.AI

CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework

Yiyang Zhao, Yunzhuo Liu, Bo Jiang, Tian Guo

专题命中 工具调用 ：agent(abstract)；分类 cs.LG

Comments arXiv admin note: text overlap with arXiv:2307.04131

Learned Graph Rewriting with Equality Saturation: A New Paradigm in Relational Query Rewrite and Beyond

George-Octavian Bărbulescu, Taiyi Wang, Zak Singh, Eiko Yoneki

专题命中 工具调用 ：agent(abstract)；分类 cs.LG

Learning secondary tool affordances of human partners using iCub robot's egocentric data

Bosong Ding, Erhan Oztop, Giacomo Spigler, Murat Kirtay

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

A metaheuristic for crew scheduling in a pickup-and-delivery problem with time windows

Mauro Lucci, Daniel Severín, Paula Zabala

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

Journal ref Intl. Trans. in Op. Res., vol. 30, 2023, pp. 970-1001

Free Energy in a Circumplex Model of Emotion

Candice Pattisapu, Tim Verbelen, Riddhi J. Pitliya, Alex B. Kiefer, Mahault Albarracin

专题命中 工具调用 ：agent(abstract)；分类 cs.AI

POST: Email Archival, Processing and Flagging Stack for Incident Responders

Jeffrey Fairbanks

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

Comments This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. For further information or questions please reach out to fairbanks6@llnl.gov

MARLP: Time-series Forecasting Control for Agricultural Managed Aquifer Recharge

Yuning Chen, Kang Yang, Zhiyu An, Brady Holder, Luke Paloutzian, Khaled Bali, Wan Du

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

Comments Accepted by KDD 2024

Deep Maxout Network-based Feature Fusion and Political Tangent Search Optimizer enabled Transfer Learning for Thalassemia Detection

Hemn Barzan Abdalla, Awder Ahmed, Guoquan Li, Nasser Mustafa, Abdur Rashid Sangi

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

Multistep Criticality Search and Power Shaping in Microreactors with Reinforcement Learning

Majdi I. Radaideh, Leo Tunkle, Dean Price, Kamal Abdulraheem, Linyu Lin, Moutaz Elias

专题命中 工具调用 ：agent(abstract)；分类 cs.LG

Comments 15 pages, 3 figures, and 2 tables

Learning to Use Tools via Cooperative and Interactive Agents

Zhengliang Shi, Shen Gao, Xiuyi Chen, Yue Feng, Lingyong Yan, Haibo Shi, Dawei Yin, Pengjie Ren, Suzan Verberne, Zhaochun Ren

专题命中 工具调用 ：agent(abstract)；分类 cs.CL

Comments working in process

Diffusion-based Reinforcement Learning for Dynamic UAV-assisted Vehicle Twins Migration in Vehicular Metaverses

Yongju Tong, Jiawen Kang, Junlong Chen, Minrui Xu, Gaolei Li, Weiting Zhang, Xincheng Yan

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

Research on an Autonomous UAV Search and Rescue System Based on the Improved

Haobin Chen, Junyu Tao, Bize Zhou, Xiaoyan Liu

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

Comments 2024 5th International Conference on Computer Engineering and Application

Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning

Arvi Jonnarth, Jie Zhao, Michael Felsberg

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

Comments Accepted to the 41st International Conference on Machine Learning (ICML), 2024

Power Mean Estimation in Stochastic Monte-Carlo Tree_Search

Tuan Dam, Odalric-Ambrym Maillard, Emilie Kaufmann

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

Comments UAI 2024 conference

GOMAA-Geo: GOal Modality Agnostic Active Geo-localization

Anindya Sarkar, Srikumar Sastry, Aleksis Pirinen, Chongjie Zhang, Nathan Jacobs, Yevgeniy Vorobeychik

专题命中 工具调用 ：agent(abstract)；分类 cs.AI

Comments 23 pages, 17 figures

Distributed agency in second language learning and teaching through generative AI

Robert Godwin-Jones

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

Comments 26 pages. Published in Language Learning & Technology, volume 28, issue 2, pp. 5-31: http://doi.org/10125/73570

Learning to Recover from Plan Execution Errors during Robot Manipulation: A Neuro-symbolic Approach

Namasivayam Kalithasan, Arnav Tuli, Vishal Bindal, Himanshu Gaurav Singh, Parag Singla, Rohan Paul

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

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

Attaining Human`s Desirable Outcomes in Human-AI Interaction via Structural Causal Games

Anjie Liu, Jianhong Wang, Haoxuan Li, Xu Chen, Jun Wang, Samuel Kaski, Mengyue Yang

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

Comments 38 pages, 5 figures