AI Agent - arXivDaily 专题

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

2209.09608 2022-09-21 cs.AI 57%

Graph Value Iteration

Dieqiao Feng, Carla P. Gomes, Bart Selman

专题命中工具调用：planning(abstract)；分类 cs.AI

2209.05698 2022-09-14 cs.AI 57%

KSG: Knowledge and Skill Graph

Feng Zhao, Ziqi Zhang, Donglin Wang

专题命中工具调用：agent(abstract)；分类 cs.AI

Comments 5 pages, 7 figures, published to CIKM 2022

2111.13980 2022-09-13 cs.LG cs.CY 57%

Forecasting Daily COVID-19 Related Calls in VA Health Care System: Predictive Model Development

Weipeng Zhou, Ryan J. Laundry, Paul L. Hebert, Gang Luo

专题命中工具调用：planning(abstract)；分类 cs.LG

Comments Working on an updated version

2206.12542 2022-08-17 cs.LG 57%

Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning

Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan

专题命中工具调用：planning(abstract)；分类 cs.LG

Comments 13 pages, 4 figures

2208.07031 2022-08-17 cs.AI 57%

Non-Blocking Batch A* (Technical Report)

Rishi Veerapaneni, Maxim Likhachev

专题命中工具调用：planning(abstract)；分类 cs.AI

Comments 4 pages, 3 figures

2208.02867 2022-08-08 math.OC cs.AI cs.NE 57%

Memetic algorithms for Spatial Partitioning problems

Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan

专题命中工具调用：planning(abstract)；分类 cs.AI

Comments 32 pages, accepted at ACM Transactions on Spatial Algorithms and Systems: Special issue on the Best Papers from the 2020 ACM SIGSPATIAL Conference

2208.02029 2022-08-04 cs.AI 57%

Supervised and Reinforcement Learning from Observations in Reconnaissance Blind Chess

Timo Bertram, Johannes Fürnkranz, Martin Müller

专题命中工具调用：agent(abstract)；分类 cs.AI

Comments 4 Pages, IEEE Conference on Games 2022 short paper

2109.10883 2022-08-03 cs.NI cs.LG 57%

ENERO: Efficient Real-Time WAN Routing Optimization with Deep Reinforcement Learning

Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio

专题命中工具调用：agent(abstract)；分类 cs.LG

Comments 12 pages, 9 figures

2206.12503 2022-06-28 cs.AI 57%

Multi-Modal and Multi-Factor Branching Time Active Inference

Théophile Champion, Marek Grześ, Howard Bowman

专题命中工具调用：planning(abstract)；分类 cs.AI

Comments 26 pages, 12 figures

2206.00216 2022-06-03 cs.CR cs.CL 57%

THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption

Tianyu Chen, Hangbo Bao, Shaohan Huang, Li Dong, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei

专题命中工具调用：workflow(abstract)；分类 cs.CL

Comments Findings of ACL 2022

2111.11276 2022-05-25 cs.AI 57%

Branching Time Active Inference: empirical study and complexity class analysis

Théophile Champion, Howard Bowman, Marek Grześ

专题命中工具调用：agent(abstract)；分类 cs.AI

Comments 39 pages, 11 figures, accepted for publication in Neural Networks

2112.09245 2022-05-18 cs.LG 57%

Automated Deep Learning: Neural Architecture Search Is Not the End

Xuanyi Dong, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys

专题命中工具调用：workflow(abstract)；分类 cs.LG

Comments 66 pages, 10 tables, 4 figures, 325 references; improve the old version with community feedback

2205.06720 2022-05-16 cs.CR cs.LG 57%

On the Importance of Architecture and Feature Selection in Differentially Private Machine Learning

Wenxuan Bao, Luke A. Bauer, Vincent Bindschaedler

专题命中工具调用：workflow(abstract)；分类 cs.LG

2205.04548 2022-05-11 cs.MA cs.AI cs.RO 57%

Informed Steiner Trees: Sampling and Pruning for Multi-Goal Path Finding in High Dimensions

Nikhil Chandak, Kenny Chour, Sivakumar Rathinam, R. Ravi

专题命中工具调用：planning(abstract)；分类 cs.AI

1. 工具调用 5112 篇

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

Graph Value Iteration

KSG: Knowledge and Skill Graph

Forecasting Daily COVID-19 Related Calls in VA Health Care System: Predictive Model Development

Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning

Non-Blocking Batch A* (Technical Report)

Memetic algorithms for Spatial Partitioning problems

Supervised and Reinforcement Learning from Observations in Reconnaissance Blind Chess

ENERO: Efficient Real-Time WAN Routing Optimization with Deep Reinforcement Learning

Multi-Modal and Multi-Factor Branching Time Active Inference

THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption

Branching Time Active Inference: empirical study and complexity class analysis

Automated Deep Learning: Neural Architecture Search Is Not the End

On the Importance of Architecture and Feature Selection in Differentially Private Machine Learning

Informed Steiner Trees: Sampling and Pruning for Multi-Goal Path Finding in High Dimensions