Learning Features and Abstract Actions for Computing Generalized Plans

17 November 2018

Papers citing "Learning Features and Abstract Actions for Computing Generalized Plans"

11 / 11 papers shown

Title
An Automatic Sound and Complete Abstraction Method for Generalized Planning with Baggable Types Hao Dong Zheyuan Shi Hemeng Zeng Yongmei Liu 50 0 0 25 Jan 2025
Generalized Planning as Heuristic Search: A new planning search-space that leverages pointers over objects Javier Segovia Aguas Sergio Jiménez Celorrio Anders Jonsson 22 3 0 26 Jan 2023
Incorporating Multi-armed Bandit with Local Search for MaxSAT Jiongzhi Zheng Kun He Jianrong Zhou Yan Jin Chumin Li F. Manyà 14 1 0 29 Nov 2022
Automatic Verification of Sound Abstractions for Generalized Planning Zhenhe Cui Weidu Kuang Yongmei Liu 16 1 0 24 May 2022
Scaling-up Generalized Planning as Heuristic Search with Landmarks Javier Segovia Aguas Sergio Jiménez Celorrio Anders Jonsson L. Sebastiá LRM 27 15 0 10 May 2022
Learning First-Order Symbolic Planning Representations That Are Grounded Andrés Occhipinti Liberman Blai Bonet Hector Geffner NAI 19 7 0 25 Apr 2022
BandMaxSAT: A Local Search MaxSAT Solver with Multi-armed Bandit Jiongzhi Zheng Kun He Jianrong Zhou Yan Jin Chumin Li F. Manyà 15 13 0 14 Jan 2022
Discovering State and Action Abstractions for Generalized Task and Motion Planning Aidan Curtis Tom Silver J. Tenenbaum Tomas Lozano-Perez L. Kaelbling 38 27 0 23 Sep 2021
Learning General Optimal Policies with Graph Neural Networks: Expressive Power, Transparency, and Limits Simon Ståhlberg Blai Bonet Hector Geffner 41 48 0 21 Sep 2021
Learning First-Order Representations for Planning from Black-Box States: New Results I. D. Rodriguez Blai Bonet J. Romero Hector Geffner NAI 17 21 0 23 May 2021
Generalized Planning as Heuristic Search Javier Segovia Aguas Sergio Jiménez Celorrio Anders Jonsson 10 28 0 26 Mar 2021