Efficient, Safe, and Probably Approximately Complete Learning of Action Models

24 May 2017

Papers citing "Efficient, Safe, and Probably Approximately Complete Learning of Action Models"

6 / 6 papers shown

Title
Enhancing Numeric-SAM for Learning with Few Observations Argaman Mordoch Shahaf S. Shperberg Roni Stern Berndan Juba 16 0 0 17 Dec 2023
TOBY: A Tool for Exploring Data in Academic Survey Papers Tathagata Chakraborti Jungkoo Kang Christian Muise S. Sreedharan Michael Walker D. Szafir T. Williams 23 0 0 13 Jun 2023
Learning First-Order Symbolic Planning Representations That Are Grounded Andrés Occhipinti Liberman Blai Bonet Hector Geffner NAI 24 7 0 25 Apr 2022
Is the Rush to Machine Learning Jeopardizing Safety? Results of a Survey M. Askarpour Alan Wassyng M. Lawford R. Paige Z. Diskin 27 0 0 29 Nov 2021
Safe Learning of Lifted Action Models Brendan Juba H. Le Roni Stern 16 25 0 09 Jul 2021
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations S. Sreedharan Utkarsh Soni Mudit Verma Siddharth Srivastava S. Kambhampati 76 30 0 04 Feb 2020