Learning to communicate about shared procedural abstractions

Learning to communicate about shared procedural abstractions

30 June 2021

William P. McCarthy

Robert D. Hawkins

Cameron Holdaway

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Papers citing "Learning to communicate about shared procedural abstractions"

10 / 10 papers shown

Title
Visual resemblance and communicative context constrain the emergence of graphical conventions Robert D. Hawkins Megumi Sano Noah D. Goodman Judith E. Fan 43 4 0 17 Sep 2021
Visual scoping operations for physical assembly Felix Binder Marcelo Mattar David Kirsh Judith E. Fan 33 4 0 10 Jun 2021
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning Kevin Ellis Catherine Wong Maxwell Nye Mathias Sablé-Meyer Luc Cary Lucas Morales Luke B. Hewitt Armando Solar-Lezama J. Tenenbaum NAI CLL 98 194 0 15 Jun 2020
Too many cooks: Bayesian inference for coordinating multi-agent collaboration Rose E. Wang Sarah A. Wu James A. Evans J. Tenenbaum David C. Parkes Max Kleiman-Weiner 64 60 0 26 Mar 2020
Generalizing meanings from partners to populations: Hierarchical inference supports convention formation on networks Robert D. Hawkins Noah D. Goodman A. Goldberg Thomas Griffiths 73 12 0 04 Feb 2020
Characterizing the dynamics of learning in repeated reference games Robert D. Hawkins Michael C. Frank Noah D. Goodman 62 54 0 16 Dec 2019
Continual adaptation for efficient machine communication Robert D. Hawkins Minae Kwon Dorsa Sadigh Noah D. Goodman CLL 82 33 0 22 Nov 2019
Executing Instructions in Situated Collaborative Interactions Alane Suhr Claudia Yan Jack Schluger Stanley Yu Hadi Khader Marwa Mouallem Iris Zhang Yoav Artzi 91 90 0 08 Oct 2019
Structured agents for physical construction V. Bapst Alvaro Sanchez-Gonzalez Carl Doersch Kimberly L. Stachenfeld Pushmeet Kohli Peter W. Battaglia Jessica B. Hamrick AI4CE 106 99 0 05 Apr 2019
Naturalizing a Programming Language via Interactive Learning Sida I. Wang Samuel Ginn Percy Liang Christopher D. Manning 61 79 0 23 Apr 2017