Differentiable User Models

v1v2 (latest)

Differentiable User Models

29 November 2022

Alex Hamalainen

Mustafa Mert cCelikok

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Papers citing "Differentiable User Models"

16 / 16 papers shown

Title
Collaborating with Humans without Human Data D. Strouse Kevin R. McKee M. Botvinick Edward Hughes Richard Everett 180 170 0 15 Oct 2021
Online Bayesian Goal Inference for Boundedly-Rational Planning Agents Zhi-Xuan Tan Jordyn L. Mann Tom Silver J. Tenenbaum Vikash K. Mansinghka OffRL 83 95 0 13 Jun 2020
Interactive AI with a Theory of Mind M. Çelikok Tomi Peltola Pedram Daee Samuel Kaski 73 19 0 01 Dec 2019
On the Utility of Learning about Humans for Human-AI Coordination Micah Carroll Rohin Shah Mark K. Ho Thomas Griffiths Sanjit A. Seshia Pieter Abbeel Anca Dragan HAI 71 403 0 13 Oct 2019
Meta-Learning surrogate models for sequential decision making Alexandre Galashov Jonathan Richard Schwarz Hyunjik Kim M. Garnelo D. Saxton Pushmeet Kohli S. M. Ali Eslami Yee Whye Teh BDL OffRL 82 25 0 28 Mar 2019
Attentive Neural Processes Hyunjik Kim A. Mnih Jonathan Richard Schwarz M. Garnelo S. M. Ali Eslami Dan Rosenbaum Oriol Vinyals Yee Whye Teh 106 442 0 17 Jan 2019
Nested Reasoning About Autonomous Agents Using Probabilistic Programs I. Seaman Jan-Willem van de Meent David Wingate LRM 75 13 0 04 Dec 2018
Neural Processes M. Garnelo Jonathan Richard Schwarz Dan Rosenbaum Fabio Viola Danilo Jimenez Rezende S. M. Ali Eslami Yee Whye Teh BDL UQCV GP 99 515 0 04 Jul 2018
Conditional Neural Processes M. Garnelo Dan Rosenbaum Chris J. Maddison Tiago Ramalho D. Saxton Murray Shanahan Yee Whye Teh Danilo Jimenez Rezende S. M. Ali Eslami UQCV BDL 90 706 0 04 Jul 2018
Machine Theory of Mind Neil C. Rabinowitz Frank Perbet H. F. Song Chiyuan Zhang S. M. Ali Eslami M. Botvinick AI4CE 128 479 0 21 Feb 2018
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes Erin Grant Chelsea Finn Sergey Levine Trevor Darrell Thomas Griffiths BDL 100 510 0 26 Jan 2018
User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction Pedram Daee Tomi Peltola Aki Vehtari Samuel Kaski HAI 38 20 0 13 Oct 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 841 11,961 0 09 Mar 2017
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models Michael U. Gutmann J. Corander 201 288 0 14 Jan 2015
Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parametrizations Finale Doshi-Velez George Konidaris 163 130 0 15 Aug 2013
The Lumiere Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users Eric Horvitz J. Breese David Heckerman D. Hovel Koos Rommelse 115 881 0 30 Jan 2013