AI Agent - arXivDaily 专题

2206.13317 2022-06-28 cs.CV cs.AI 70%

Automatic identification of segmentation errors for radiotherapy using geometric learning

Edward G. A. Henderson, Andrew F. Green, Marcel van Herk, Eliana M. Vasquez Osorio

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

Comments Accepted in 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022). This preprint has not undergone peer review or any post-submission improvements or corrections

2205.15126 2022-05-31 cs.AI 70%

Elastic Monte Carlo Tree Search with State Abstraction for Strategy Game Playing

Linjie Xu, Jorge Hurtado-Grueso, Dominic Jeurissen, Diego Perez Liebana, Alexander Dockhorn

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

Comments 8 pages, 3 figures; Published on IEEE Conference on Games 2022

2205.03555 2022-05-10 cs.CV cs.LG 70%

Multi-Target Active Object Tracking with Monte Carlo Tree Search and Target Motion Modeling

Zheng Chen, Jian Zhao, Mingyu Yang, Wengang Zhou, Houqiang Li

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

Comments 7 pages,7 figures

2203.08141 2022-03-16 cs.CV cs.LG cs.RO 70%

Object Manipulation via Visual Target Localization

Kiana Ehsani, Ali Farhadi, Aniruddha Kembhavi, Roozbeh Mottaghi

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

2203.07073 2022-03-15 cs.GT cs.AI cs.CE 70%

Impression Allocation and Policy Search in Display Advertising

Di Wu, Cheng Chen, Xiujun Chen, Junwei Pan, Xun Yang, Qing Tan, Jian Xu, Kuang-Chih Lee

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

2110.05035 2022-02-15 cs.SE cs.AI cs.CL cs.LG 70%

Using Personality Detection Tools for Software Engineering Research: How Far Can We Go?

Fabio Calefato, Filippo Lanubile

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

Journal ref ACM TOSEM, Vol. 1, No. 1, Article 1 (January 2022)

2111.13770 2021-11-30 cs.AI cs.GT 70%

A Fast Evolutionary adaptation for MCTS in Pommerman

Harsh Panwar, Saswata Chatterjee, Wil Dube

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

2110.03223 2021-10-12 cs.AI 70%

Goal-Directed Design Agents: Integrating Visual Imitation with One-Step Lookahead Optimization for Generative Design

Ayush Raina, Lucas Puentes, Jonathan Cagan, Christopher McComb

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

Journal ref J. Mech. Des. Dec 2021, 143(12): 124501 (6 pages)

2110.01834 2021-10-06 cs.AI 70%

Thinking Fast and Slow in AI: the Role of Metacognition

Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable

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

2105.07443 2021-09-01 cs.MA cs.AI cs.RO 70%

How Can Robots Trust Each Other For Better Cooperation? A Relative Needs Entropy Based Robot-Robot Trust Assessment Model

Qin Yang, Ramviyas Parasuraman

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

Comments the SMC 2021 conference final submitted version

2107.12061 2021-07-27 cs.AI cs.HC 70%

Predicting Game Engagement and Difficulty Using AI Players

Shaghayegh Roohi, Christian Guckelsberger, Asko Relas, Henri Heiskanen, Jari Takatalo, Perttu Hämäläinen

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

Comments 18 pages, 5 figures, 2 tables. In Proceedings ACM Human-Computer Interaction, Vol. 5, CHIPLAY, Article 231. Publication date: September 2021

2103.12815 2021-07-27 cs.LG cs.CV 70%

Integrating Novelty Detection Capabilities with MSL Mastcam Operations to Enhance Data Analysis

Paul Horton, Hannah R. Kerner, Samantha Jacob, Ernest Cisneros, Kiri L. Wagstaff, James Bell

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

Comments 8 pages, 5 figure, accepted and presented at IEEE Aerospace Conference 2021

2106.09086 2021-06-18 cs.AI 70%

Learned Belief Search: Efficiently Improving Policies in Partially Observable Settings

Hengyuan Hu, Adam Lerer, Noam Brown, Jakob Foerster

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

2106.02445 2021-06-07 cs.RO cs.LG 70%

How to select and use tools? : Active Perception of Target Objects Using Multimodal Deep Learning

Namiko Saito, Tetsuya Ogata, Satoshi Funabashi, Hiroki Mori, Shigeki Sugano

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

Comments Best Paper Award of Cognitive Robotics in ICRA2021 IEEE Robotics and Automation Letters 2021, Proceedings of the 2021 International Conference on Robotics and Automation (ICRA 2021), 2021

Journal ref IEEE Robotics and Automation Letters 2021

2104.08759 2021-04-20 cs.MA cs.AI cs.CC cs.RO 70%

Revisiting the Complexity Analysis of Conflict-Based Search: New Computational Techniques and Improved Bounds

Ofir Gordon, Yuval Filmus, Oren Salzman

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

2103.09520 2021-03-18 cs.RO cs.LG cs.MA 70%

Decentralized Reinforcement Learning for Multi-Target Search and Detection by a Team of Drones

Roi Yehoshua, Juan Heredia-Juesas, Yushu Wu, Christopher Amato, Jose Martinez-Lorenzo

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

2012.12203 2020-12-23 cs.LG 70%

Autonomous sPOMDP Environment Modeling With Partial Model Exploitation

Andrew Wilhelm, Aaron Wilhelm, Garrett Fosdick

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

Comments 10 pages, 4 figures

1904.01241 2020-12-21 cs.CV cs.AI 70%

Centerline Depth World Reinforcement Learning-based Left Atrial Appendage Orifice Localization

Walid Abdullah Al, Il Dong Yun, Eun Ju Chun

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

Comments 10 pages, 6 figures

2009.05643 2020-09-15 cs.AI 70%

The Design Of "Stratega": A General Strategy Games Framework

Diego Perez-Liebana, Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen

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

Comments 7 pages, 2 figures

2008.12610 2020-08-31 cs.RO cs.LG cs.MA 70%

Collaborative Multi-Robot Systems for Search and Rescue: Coordination and Perception

Jorge Peña Queralta, Jussi Taipalmaa, Bilge Can Pullinen, Victor Kathan Sarker, Tuan Nguyen Gia, Hannu Tenhunen, Moncef Gabbouj, Jenni Raitoharju, Tomi Westerlund

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

1902.00618 2020-08-18 cs.LG math.OC stat.ML 70%

What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?

Chi Jin, Praneeth Netrapalli, Michael I. Jordan

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

Comments This paper has been published at ICML2020. This new version made a correction to Proposition 19, and added more related works

2005.04974 2020-05-12 eess.IV cs.CV cs.LG 70%

Deep Reinforcement Learning for Organ Localization in CT

Fernando Navarro, Anjany Sekuboyina, Diana Waldmannstetter, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze

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

Comments Accepted paper in MIDL 2020

Journal ref https://openreview.net/forum?id=0vDeD2UD0S&referrer=%5BAuthor%20Console%5D(%2Fgroup%3Fid%3DMIDL.io%2F2020%2FConference%2FAuthors%23your-submissions)

1903.04307 2020-04-15 cs.LG cond-mat.soft 70%

A cooperative game for automated learning of elasto-plasticity knowledge graphs and models with AI-guided experimentation

Kun Wang, WaiChing Sun, Qiang Du

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

1911.03366 2020-03-09 cs.NI cs.LG stat.ML 70%

Deep Reinforcement Learning for Distributed Uncoordinated Cognitive Radios Resource Allocation

Ankita Tondwalkar, Dr Andres Kwasinski

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

Comments This paper has been submitted in the 21st IEEE International Workshop On Signal Processing Advances In Wireless Communications (SPAWC 2020)

1903.05751 2020-03-05 stat.ML cs.LG cs.RO 70%

Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning

Kei Ota, Devesh K. Jha, Tomoaki Oiki, Mamoru Miura, Takashi Nammoto, Daniel Nikovski, Toshisada Mariyama

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

Comments 8 pages, 6 figures, Accepted to IROS 2019

1904.10090 2020-01-16 cs.LG stat.ML 70%

Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning, Extended version

Erwan Lecarpentier, Emmanuel Rachelson

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

Comments Published at NeurIPS 2019, 17 pages, 3 figures

Journal ref year: 2019; page range: 7214--7223

1912.02807 2020-01-13 cs.LG stat.ML 70%

Combining Q-Learning and Search with Amortized Value Estimates

Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Theophane Weber, Lars Buesing, Peter W. Battaglia

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

Comments Published as a conference paper at ICLR 2020

1912.02318 2019-12-06 cs.AI cs.MA 70%

Improving Policies via Search in Cooperative Partially Observable Games

Adam Lerer, Hengyuan Hu, Jakob Foerster, Noam Brown

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

Journal ref AAAI 2020

1906.08792 2019-06-24 cs.LG cs.IT math.IT stat.ML 70%

When Multiple Agents Learn to Schedule: A Distributed Radio Resource Management Framework

Navid Naderializadeh, Jaroslaw Sydir, Meryem Simsek, Hosein Nikopour, Shilpa Talwar

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

Comments Submitted to IEEE Wireless Communications Magazine

1901.01855 2019-02-19 cs.AI 70%

A* Tree Search for Portfolio Management

Xiaojie Gao, Shikui Tu, Lei Xu

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

Comments The paper needs a major revision including the title

1. 工具调用 5130 篇

Automatic identification of segmentation errors for radiotherapy using geometric learning

Elastic Monte Carlo Tree Search with State Abstraction for Strategy Game Playing

Multi-Target Active Object Tracking with Monte Carlo Tree Search and Target Motion Modeling

Object Manipulation via Visual Target Localization

Impression Allocation and Policy Search in Display Advertising

Using Personality Detection Tools for Software Engineering Research: How Far Can We Go?

A Fast Evolutionary adaptation for MCTS in Pommerman

Goal-Directed Design Agents: Integrating Visual Imitation with One-Step Lookahead Optimization for Generative Design

Thinking Fast and Slow in AI: the Role of Metacognition

How Can Robots Trust Each Other For Better Cooperation? A Relative Needs Entropy Based Robot-Robot Trust Assessment Model

Predicting Game Engagement and Difficulty Using AI Players

Integrating Novelty Detection Capabilities with MSL Mastcam Operations to Enhance Data Analysis

Learned Belief Search: Efficiently Improving Policies in Partially Observable Settings

How to select and use tools? : Active Perception of Target Objects Using Multimodal Deep Learning

Revisiting the Complexity Analysis of Conflict-Based Search: New Computational Techniques and Improved Bounds

Decentralized Reinforcement Learning for Multi-Target Search and Detection by a Team of Drones

Autonomous sPOMDP Environment Modeling With Partial Model Exploitation

Centerline Depth World Reinforcement Learning-based Left Atrial Appendage Orifice Localization

The Design Of "Stratega": A General Strategy Games Framework

Collaborative Multi-Robot Systems for Search and Rescue: Coordination and Perception

What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?

Deep Reinforcement Learning for Organ Localization in CT

A cooperative game for automated learning of elasto-plasticity knowledge graphs and models with AI-guided experimentation

Deep Reinforcement Learning for Distributed Uncoordinated Cognitive Radios Resource Allocation

Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning

Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning, Extended version

Combining Q-Learning and Search with Amortized Value Estimates

Improving Policies via Search in Cooperative Partially Observable Games

When Multiple Agents Learn to Schedule: A Distributed Radio Resource Management Framework

A* Tree Search for Portfolio Management