AI Agent

Monte-Carlo Search for an Equilibrium in Dec-POMDPs

Yang You, Vincent Thomas, Francis Colas, Olivier Buffet

专题命中 工具调用 ：agent(abstract)；分类 cs.AI

Comments Accepted to UAI 2023, preliminary version

Massively Multi-Lingual Event Understanding: Extraction, Visualization, and Search

Chris Jenkins, Shantanu Agarwal, Joel Barry, Steven Fincke, Elizabeth Boschee

专题命中 工具调用 ：agent(abstract)；分类 cs.CL

Comments Accepted for ACL 2023

A-ePA*SE: Anytime Edge-Based Parallel A* for Slow Evaluations

Hanlan Yang, Shohin Mukherjee, Maxim Likhachev

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

Comments Proceedings of the International Symposium on Combinatorial Search (SoCS) 2023. arXiv admin note: text overlap with arXiv:2301.10347

Deconstructing deep active inference

Théophile Champion, Marek Grześ, Lisa Bonheme, Howard Bowman

专题命中 工具调用 ：agent(abstract)；分类 cs.AI

Comments 59 pages, 46 figures

Generalized Object Search

Kaiyu Zheng

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

Comments PhD Thesis, Department of Computer Science, Brown University, February 2023

A System for Generalized 3D Multi-Object Search

Kaiyu Zheng, Anirudha Paul, Stefanie Tellex

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

Comments 8 pages, 9 figures, 1 table. IEEE Conference on Robotics and Automation (ICRA) 2023

Reinforcement Learning-Based Black-Box Model Inversion Attacks

Gyojin Han, Jaehyun Choi, Haeil Lee, Junmo Kim

专题命中 工具调用 ：agent(abstract)；分类 cs.LG

Comments CVPR 2023, Accepted

Enhancing Large Language Models with Climate Resources

Mathias Kraus, Julia Anna Bingler, Markus Leippold, Tobias Schimanski, Chiara Colesanti Senni, Dominik Stammbach, Saeid Ashraf Vaghefi, Nicolas Webersinke

专题命中 工具调用 ：agent(abstract)；分类 cs.CL

Heuristic Search For Physics-Based Problems: Angry Birds in PDDL+

Wiktor Piotrowski, Yoni Sher, Sachin Grover, Roni Stern, Shiwali Mohan

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

Zero-Shot Retrieval with Search Agents and Hybrid Environments

Michelle Chen Huebscher, Christian Buck, Massimiliano Ciaramita, Sascha Rothe

专题命中 工具调用 ：agent(abstract)；分类 cs.CL

Differentially Private Synthetic Control

Saeyoung Rho, Rachel Cummings, Vishal Misra

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

Enhanced Iterated local search for the technician routing and scheduling problem

Ala-Eddine Yahiaoui, Sohaib Afifi, Hamid Afifi

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

Comments Submitted manuscript to Computers and Operations Research journal. 34 pages, 7 figures, 6 tables

AMRA*: Anytime Multi-Resolution Multi-Heuristic A*

Dhruv Mauria Saxena, Tushar Kusnur, Maxim Likhachev

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

Comments Published at IEEE International Conference on Robotics and Automation (ICRA), 2022. Code available at https://github.com/dhruvms/amra

Reinforcement Learning for Branch-and-Bound Optimisation using Retrospective Trajectories

Christopher W. F. Parsonson, Alexandre Laterre, Thomas D. Barrett

专题命中 工具调用 ：agent(abstract)；分类 cs.LG

Comments Accepted to AAAI'23: Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence

Journal ref AAAI'23: Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

The tree reconstruction game: phylogenetic reconstruction using reinforcement learning

Dana Azouri, Oz Granit, Michael Alburquerque, Yishay Mansour, Tal Pupko, Itay Mayrose

专题命中 工具调用 ：agent(abstract)；分类 cs.AI

Comments * Equal contribution

GePA*SE: Generalized Edge-Based Parallel A* for Slow Evaluations

Shohin Mukherjee, Maxim Likhachev

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

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

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

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

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

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)

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

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

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

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

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

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

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

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

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