AI Agent - arXivDaily 专题

2209.03694 2023-03-10 cs.CV cs.LG 57%

Aerial View Localization with Reinforcement Learning: Towards Emulating Search-and-Rescue

Aleksis Pirinen, Anton Samuelsson, John Backsund, Kalle Åström

专题命中工具调用：agent(abstract)；分类 cs.LG

Comments Accepted to ICLR 2023 Workshop on Machine Learning for Remote Sensing

2206.08185 2023-02-28 cs.RO cs.AI cs.MA cs.SY eess.SY 57%

UAVs Beneath the Surface: Cooperative Autonomy for Subterranean Search and Rescue in DARPA SubT

Matej Petrlik, Pavel Petracek, Vit Kratky, Tomas Musil, Yurii Stasinchuk, Matous Vrba, Tomas Baca, Daniel Hert, Martin Pecka, Tomas Svoboda, Martin Saska

专题命中工具调用：planning(abstract)；分类 cs.AI

Comments Submitted to Field Robotics Special Issue: DARPA Subterranean Challenge, Advancement and Lessons Learned from the Finals

Journal ref Field Robotics, vol. 3, no. 1 pp. 1-68, January, 2023

2112.05198 2023-02-14 cs.LG cs.SY eess.SY 57%

Reinforcement Learning with Almost Sure Constraints

Agustin Castellano, Hancheng Min, Juan Bazerque, Enrique Mallada

专题命中工具调用：agent(abstract)；分类 cs.LG

Comments Accepted to L4DC 2022

2302.04318 2023-02-10 cs.AI 57%

Learning to Play Stochastic Two-player Perfect-Information Games without Knowledge

Quentin Cohen-Solal, Tristan Cazenave

专题命中工具调用：planning(abstract)；分类 cs.AI

2301.09573 2023-02-09 math.ST cs.LG stat.ME stat.ML stat.TH 57%

Huber-Robust Confidence Sequences

Hongjian Wang, Aaditya Ramdas

专题命中工具调用：tool use(abstract)；分类 cs.LG

Comments Accepted for publication at the 26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023)

2107.01715 2023-02-07 cs.AI 57%

Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction

Assaf Hallak, Gal Dalal, Steven Dalton, Iuri Frosio, Shie Mannor, Gal Chechik

专题命中工具调用：agent(abstract)；分类 cs.AI

2202.10968 2023-01-30 cs.NI cs.LG 57%

Cellular Network Capacity and Coverage Enhancement with MDT Data and Deep Reinforcement Learning

Marco Skocaj, Lorenzo Mario Amorosa, Giorgio Ghinamo, Giuliano Muratore, Davide Micheli, Flavio Zabini, Roberto Verdone

专题命中工具调用：agent(abstract)；分类 cs.LG

Comments 15 pages, 17 figures

2208.03066 2023-01-24 cs.LG stat.ML 57%

Tailoring to the Tails: Risk Measures for Fine-Grained Tail Sensitivity

Christian Fröhlich, Robert C. Williamson

专题命中工具调用：tool use(abstract)；分类 cs.LG

Comments Made multiple minor edits

2301.03095 2023-01-10 cs.HC cs.CL 57%

MEGAnno: Exploratory Labeling for NLP in Computational Notebooks

Dan Zhang, Hannah Kim, Rafael Li Chen, Eser Kandogan, Estevam Hruschka

专题命中工具调用：workflow(abstract)；分类 cs.CL

Comments Data Science with Human-in-the-loop (DaSH) @ EMNLP 2022. Demo: https://meganno.github.io

2206.05694 2023-01-06 cs.NE cs.AI math.OC 57%

RL-GA: A Reinforcement Learning-Based Genetic Algorithm for Electromagnetic Detection Satellite Scheduling Problem

Yanjie Song, Luona Wei, Qing Yang, Jian Wu, Lining Xing, Yingwu Chen

专题命中工具调用：agent(abstract)；分类 cs.AI

Comments 29 pages, 9 figures, Accepted by Swarm and Evolutionary Computation

2212.14779 2023-01-02 cs.SE cs.PL 57%

BlueCov: Integrating Test Coverage and Model Checking with JBMC

Matthias Güdemann, Peter Schrammel

专题命中工具调用：tool use(abstract)；分类 cs.SE

Comments Extended version of paper at SAC'23

2212.11517 2022-12-23 cs.AI 57%

Co-evolving morphology and control of soft robots using a single genome

Fabio Tanaka, Claus Aranha

专题命中工具调用：agent(abstract)；分类 cs.AI

Comments 8 pages, accepted by 2022 IEEE Symposium Series on Computational Intelligence

2212.10367 2022-12-21 cs.LG cs.CV q-bio.NC 57%

Modeling Human Eye Movements with Neural Networks in a Maze-Solving Task

Jason Li, Nicholas Watters, Yingting, Wang, Hansem Sohn, Mehrdad Jazayeri

专题命中工具调用：planning(abstract)；分类 cs.LG

2212.07543 2022-12-16 cs.AI math.OC 57%

Monte-Carlo Tree-Search for Leveraging Performance of Blackbox Job-Shop Scheduling Heuristics

Florian Wimmenauer, Matúš Mihalák, Mark H. M. Winands

专题命中工具调用：planning(abstract)；分类 cs.AI

Comments Technical report

2212.06001 2022-12-13 eess.SY cs.LG cs.SY 57%

Reinforcement Learning and Tree Search Methods for the Unit Commitment Problem

Patrick de Mars

专题命中工具调用：planning(abstract)；分类 cs.LG

2208.09683 2022-12-12 physics.flu-dyn cs.LG 57%

Machine learning based surrogate models for microchannel heat sink optimization

Ante Sikirica, Luka Grbčić, Lado Kranjčević

专题命中工具调用：workflow(abstract)；分类 cs.LG

Comments 33 pages, brief appendix

2212.01939 2022-12-06 eess.SY cs.LG cs.NE cs.SY 57%

Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-based Guidance

Vanshaj Khattar, Ming Jin

专题命中工具调用：agent(abstract)；分类 cs.LG

2211.17199 2022-12-01 cs.AI 57%

Resource Sharing Through Multi-Round Matchings

Yohai Trabelsi, Abhijin Adiga, Sarit Kraus, S. S. Ravi, Daniel J. Rosenkrantz

专题命中工具调用：agent(abstract)；分类 cs.AI

2211.16309 2022-11-30 cs.RO cs.LG stat.AP 57%

A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal Configurations

Sohan Rudra, Saksham Goel, Anirban Santara, Claudio Gentile, Laurent Perron, Fei Xia, Vikas Sindhwani, Carolina Parada, Gaurav Aggarwal

专题命中工具调用：agent(abstract)；分类 cs.LG

Comments Shorter version accepted at NeurIPS 2022 Workshop on Robot Learning: Trustworthy Robotics

2211.15866 2022-11-30 cs.RO cs.CV cs.LG 57%

A Search and Detection Autonomous Drone System: from Design to Implementation

Mohammadjavad Khosravi, Rushiv Arora, Saeede Enayati, Hossein Pishro-Nik

专题命中工具调用：planning(abstract)；分类 cs.LG

2211.00177 2022-11-02 cs.LG cs.IR cs.SI 57%

Learning to Navigate Wikipedia by Taking Random Walks

Manzil Zaheer, Kenneth Marino, Will Grathwohl, John Schultz, Wendy Shang, Sheila Babayan, Arun Ahuja, Ishita Dasgupta, Christine Kaeser-Chen, Rob Fergus

专题命中工具调用：agent(abstract)；分类 cs.LG

Journal ref NeurIPS 2022

2208.14834 2022-10-27 cs.LG 57%

Deep Anomaly Detection and Search via Reinforcement Learning

Chao Chen, Dawei Wang, Feng Mao, Zongzhang Zhang, Yang Yu

专题命中工具调用：agent(abstract)；分类 cs.LG

Comments We have changed the experiment in section 4 to achieve better performance

2210.12556 2022-10-25 cs.AI 57%

B$^3$RTDP: A Belief Branch and Bound Real-Time Dynamic Programming Approach to Solving POMDPs

Sigurdur Orn Adalgeirsson, Cynthia Breazeal

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

Comments Originally authored in 2014-2015

2111.14786 2022-10-12 cs.LG cs.RO 57%

Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning

Adarsh Dave, Jared Mitchell, Sven Burke, Hongyi Lin, Jay Whitacre, Venkatasubramanian Viswanathan

专题命中工具调用：workflow(abstract)；分类 cs.LG

Comments 26 pages, 5 Figures, 7 Extended Data Figures

2210.01634 2022-10-05 cs.AI 57%

Type theory in human-like learning and inference

Felix A. Sosa, Tomer Ullman

专题命中工具调用：agent(abstract)；分类 cs.AI

Comments 5 pages, 0 figures, accepted into Beyond Bayes ICML '22

2210.00798 2022-10-04 cs.DC cs.LG 57%

HPC Storage Service Autotuning Using Variational-Autoencoder-Guided Asynchronous Bayesian Optimization

Matthieu Dorier, Romain Egele, Prasanna Balaprakash, Jaehoon Koo, Sandeep Madireddy, Srinivasan Ramesh, Allen D. Malony, Rob Ross

专题命中工具调用：workflow(abstract)；分类 cs.LG

Comments Accepted at IEEE Cluster 2022

2207.10305 2022-10-03 cs.LG 57%

Detecting Small Query Graphs in A Large Graph via Neural Subgraph Search

Yunsheng Bai, Derek Xu, Yizhou Sun, Wei Wang

专题命中工具调用：agent(abstract)；分类 cs.LG

2010.10344 2022-09-29 cs.AI math.OC 57%

The bi-objective multimodal car-sharing problem

Miriam Enzi, Sophie N. Parragh, Jakob Puchinger

专题命中工具调用：planning(abstract)；分类 cs.AI

2209.13536 2022-09-28 cs.NI cs.LG 57%

Transmit Power Control for Indoor Small Cells: A Method Based on Federated Reinforcement Learning

Peizheng Li, Hakan Erdol, Keith Briggs, Xiaoyang Wang, Robert Piechocki, Abdelrahim Ahmad, Rui Inacio, Shipra Kapoor, Angela Doufexi, Arjun Parekh

专题命中工具调用：agent(abstract)；分类 cs.LG

Comments 7 pages, 5 figures. This paper has been accepted by 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)

2209.12107 2022-09-27 eess.SY cs.LG cs.SY 57%

Valuation of Public Bus Electrification with Open Data

Upadhi Vijay, Soomin Woo, Scott J. Moura, Akshat Jain, David Rodriguez, Sergio Gambacorta, Giuseppe Ferrara, Luigi Lanuzza, Christian Zulberti, Erika Mellekas, Carlo Papa

专题命中工具调用：tool use(abstract)；分类 cs.LG

1. 工具调用 5059 篇

Aerial View Localization with Reinforcement Learning: Towards Emulating Search-and-Rescue

UAVs Beneath the Surface: Cooperative Autonomy for Subterranean Search and Rescue in DARPA SubT

Reinforcement Learning with Almost Sure Constraints

Learning to Play Stochastic Two-player Perfect-Information Games without Knowledge

Huber-Robust Confidence Sequences

Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction

Cellular Network Capacity and Coverage Enhancement with MDT Data and Deep Reinforcement Learning

Tailoring to the Tails: Risk Measures for Fine-Grained Tail Sensitivity

MEGAnno: Exploratory Labeling for NLP in Computational Notebooks

RL-GA: A Reinforcement Learning-Based Genetic Algorithm for Electromagnetic Detection Satellite Scheduling Problem

BlueCov: Integrating Test Coverage and Model Checking with JBMC

Co-evolving morphology and control of soft robots using a single genome

Modeling Human Eye Movements with Neural Networks in a Maze-Solving Task

Monte-Carlo Tree-Search for Leveraging Performance of Blackbox Job-Shop Scheduling Heuristics

Reinforcement Learning and Tree Search Methods for the Unit Commitment Problem

Machine learning based surrogate models for microchannel heat sink optimization

Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-based Guidance

Resource Sharing Through Multi-Round Matchings

A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal Configurations

A Search and Detection Autonomous Drone System: from Design to Implementation

Learning to Navigate Wikipedia by Taking Random Walks

Deep Anomaly Detection and Search via Reinforcement Learning

B$^3$RTDP: A Belief Branch and Bound Real-Time Dynamic Programming Approach to Solving POMDPs

Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning

Type theory in human-like learning and inference

HPC Storage Service Autotuning Using Variational-Autoencoder-Guided Asynchronous Bayesian Optimization

Detecting Small Query Graphs in A Large Graph via Neural Subgraph Search

The bi-objective multimodal car-sharing problem

Transmit Power Control for Indoor Small Cells: A Method Based on Federated Reinforcement Learning

Valuation of Public Bus Electrification with Open Data