Estimation of User's World Model Using Graph2vec

10 January 2023

Papers citing "Estimation of User's World Model Using Graph2vec"

8 / 8 papers shown

Title
Explainable Autonomous Robots: A Survey and Perspective Tatsuya Sakai Takayuki Nagai 41 68 0 06 May 2021
World Model as a Graph: Learning Latent Landmarks for Planning Lunjun Zhang Ge Yang Bradly C. Stadie DRL 40 73 0 25 Nov 2020
Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks Xiaofeng Gao Ran Gong Yizhou Zhao Shu Wang Tianmin Shu Song-Chun Zhu 29 35 0 24 Jul 2020
Recurrent World Models Facilitate Policy Evolution David R Ha Jürgen Schmidhuber SyDa TPM 109 930 0 04 Sep 2018
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) Been Kim Martin Wattenberg Justin Gilmer Carrie J. Cai James Wexler F. Viégas Rory Sayres FAtt 164 1,828 0 30 Nov 2017
graph2vec: Learning Distributed Representations of Graphs A. Narayanan Mahinthan Chandramohan R. Venkatesan Lihui Chen Yang Liu Shantanu Jaiswal GNN 62 734 0 17 Jul 2017
Enabling Robots to Communicate their Objectives Sandy H. Huang David Held Pieter Abbeel Anca Dragan 37 160 0 11 Feb 2017
Distributed Representations of Sentences and Documents Quoc V. Le Tomas Mikolov FaML 182 9,231 0 16 May 2014