Search Results for author: Eric Crawford

Found 4 papers, 2 papers with code

Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking

1 code implementation20 Nov 2019 Eric Crawford, Joelle Pineau

The ability to detect and track objects in the visual world is a crucial skill for any intelligent agent, as it is a necessary precursor to any object-level reasoning process.

Object Tracking

Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning

no code implementations5 Jul 2019 Srinivas Venkattaramanujam, Eric Crawford, Thang Doan, Doina Precup

Goal-conditioned policies are used in order to break down complex reinforcement learning (RL) problems by using subgoals, which can be defined either in state space or in a latent feature space.

reinforcement-learning Reinforcement Learning (RL) +1

BanditSum: Extractive Summarization as a Contextual Bandit

1 code implementation EMNLP 2018 Yue Dong, Yikang Shen, Eric Crawford, Herke van Hoof, Jackie Chi Kit Cheung

In this work, we propose a novel method for training neural networks to perform single-document extractive summarization without heuristically-generated extractive labels.

Extractive Summarization Extractive Text Summarization

Sequential Coordination of Deep Models for Learning Visual Arithmetic

no code implementations ICLR 2018 Eric Crawford, Guillaume Rabusseau, Joelle Pineau

Achieving machine intelligence requires a smooth integration of perception and reasoning, yet models developed to date tend to specialize in one or the other; sophisticated manipulation of symbols acquired from rich perceptual spaces has so far proved elusive.

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