Josh Tenenbaum

is this you? claim profile

0 followers
MIT

Learning Evolved Combinatorial Symbols with a Neuro-symbolic Generative Model

Humans have the ability to rapidly understand rich combinatorial concept...
04/16/2021 ∙ by Matthias Hofer, et al. ∙ 0 ∙ share

read it
Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modelling

Current autoencoder-based disentangled representation learning methods a...
10/25/2020 ∙ by Akash Srivastava, et al. ∙ 8 ∙ share

read it
Program Synthesis with Pragmatic Communication

Program synthesis techniques construct or infer programs from user-provi...
07/09/2020 ∙ by Yewen Pu, et al. ∙ 0 ∙ share

read it
Write, Execute, Assess: Program Synthesis with a REPL

We present a neural program synthesis approach integrating components wh...
06/09/2019 ∙ by Kevin Ellis, et al. ∙ 0 ∙ share

read it
Few-Shot Bayesian Imitation Learning with Logic over Programs

We describe an expressive class of policies that can be efficiently lear...
04/12/2019 ∙ by Tom Silver, et al. ∙ 6 ∙ share

read it
Residual Policy Learning

We present Residual Policy Learning (RPL): a simple method for improving...
12/15/2018 ∙ by Tom Silver, et al. ∙ 0 ∙ share

read it
At Human Speed: Deep Reinforcement Learning with Action Delay

There has been a recent explosion in the capabilities of game-playing ar...
10/16/2018 ∙ by Vlad Firoiu, et al. ∙ 0 ∙ share

read it
Logical Rule Induction and Theory Learning Using Neural Theorem Proving

A hallmark of human cognition is the ability to continually acquire and ...
09/06/2018 ∙ by Andres Campero, et al. ∙ 0 ∙ share

read it
Learning to Share and Hide Intentions using Information Regularization

Learning to cooperate with friends and compete with foes is a key compon...
08/06/2018 ∙ by DJ Strouse, et al. ∙ 0 ∙ share

read it
Blaming humans in autonomous vehicle accidents: Shared responsibility across levels of automation

When a semi-autonomous car crashes and harms someone, how are blame and ...
03/19/2018 ∙ by Edmond Awad, et al. ∙ 0 ∙ share

read it
A Computational Model of Commonsense Moral Decision Making

We introduce a new computational model of moral decision making, drawing...
01/12/2018 ∙ by Richard Kim, et al. ∙ 0 ∙ share

read it
Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints

In this paper, we present a new task that investigates how people intera...
07/25/2017 ∙ by Ilker Yildirim, et al. ∙ 0 ∙ share

read it

Josh Tenenbaum

Featured Co-authors

Sebastian Riedel

Kai Xu

Marc Toussaint

Leslie Pack Kaelbling

Armando Solar-Lezama

Prasanna Sattigeri

Roger Levy

Tuan Anh Le

Iyad Rahwan

Andres Abeliuk

Tim Klinger

Learning Evolved Combinatorial Symbols with a Neuro-symbolic Generative Model

Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modelling

Program Synthesis with Pragmatic Communication

Write, Execute, Assess: Program Synthesis with a REPL

Few-Shot Bayesian Imitation Learning with Logic over Programs

Residual Policy Learning

At Human Speed: Deep Reinforcement Learning with Action Delay

Logical Rule Induction and Theory Learning Using Neural Theorem Proving

Learning to Share and Hide Intentions using Information Regularization

Blaming humans in autonomous vehicle accidents: Shared responsibility across levels of automation

A Computational Model of Commonsense Moral Decision Making

Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints