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Grounded Language Learning Fast and Slow

Grounded Language Learning Fast and Slow

3 September 2020
Felix Hill
O. Tieleman
Tamara von Glehn
Nathaniel Wong
Hamza Merzic
S. Clark
    LM&Ro
ArXivPDFHTML

Papers citing "Grounded Language Learning Fast and Slow"

29 / 29 papers shown
Title
Self-supervised learning through the eyes of a child
Self-supervised learning through the eyes of a child
A. Orhan
Vaibhav Gupta
Brenden M. Lake
SSL
58
100
0
31 Jul 2020
Meta-learning for Few-shot Natural Language Processing: A Survey
Meta-learning for Few-shot Natural Language Processing: A Survey
Wenpeng Yin
58
78
0
19 Jul 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
657
41,736
0
28 May 2020
Agent57: Outperforming the Atari Human Benchmark
Agent57: Outperforming the Atari Human Benchmark
Adria Puigdomenech Badia
Bilal Piot
Steven Kapturowski
Pablo Sprechmann
Alex Vitvitskyi
Daniel Guo
Charles Blundell
OffRL
63
519
0
30 Mar 2020
Never Give Up: Learning Directed Exploration Strategies
Never Give Up: Learning Directed Exploration Strategies
Adria Puigdomenech Badia
Pablo Sprechmann
Alex Vitvitskyi
Daniel Guo
Bilal Piot
...
O. Tieleman
Martín Arjovsky
Alexander Pritzel
Andew Bolt
Charles Blundell
68
297
0
14 Feb 2020
Extending Machine Language Models toward Human-Level Language
  Understanding
Extending Machine Language Models toward Human-Level Language Understanding
James L. McClelland
Felix Hill
Maja R. Rudolph
Jason Baldridge
Hinrich Schütze
LRM
58
34
0
12 Dec 2019
Generalization of Reinforcement Learners with Working and Episodic
  Memory
Generalization of Reinforcement Learners with Working and Episodic Memory
Meire Fortunato
Melissa Tan
Ryan Faulkner
Steven Hansen
Adria Puigdomenech Badia
Gavin Buttimore
Charlie Deck
Joel Z Leibo
Charles Blundell
69
70
0
29 Oct 2019
Stabilizing Transformers for Reinforcement Learning
Stabilizing Transformers for Reinforcement Learning
Emilio Parisotto
H. F. Song
Jack W. Rae
Razvan Pascanu
Çağlar Gülçehre
...
Aidan Clark
Seb Noury
M. Botvinick
N. Heess
R. Hadsell
OffRL
78
364
0
13 Oct 2019
Environmental drivers of systematicity and generalization in a situated
  agent
Environmental drivers of systematicity and generalization in a situated agent
Felix Hill
Andrew Kyle Lampinen
R. Schneider
S. Clark
M. Botvinick
James L. McClelland
Adam Santoro
OOD
80
107
0
01 Oct 2019
Shaping Belief States with Generative Environment Models for RL
Shaping Belief States with Generative Environment Models for RL
Karol Gregor
Danilo Jimenez Rezende
F. Besse
Yan Wu
Hamza Merzic
Aaron van den Oord
OffRL
AI4CE
80
119
0
21 Jun 2019
Compositional generalization through meta sequence-to-sequence learning
Compositional generalization through meta sequence-to-sequence learning
Brenden M. Lake
CoGe
80
199
0
12 Jun 2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Zihang Dai
Zhilin Yang
Yiming Yang
J. Carbonell
Quoc V. Le
Ruslan Salakhutdinov
VLM
192
3,724
0
09 Jan 2019
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning
  for Vision-Language Navigation
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation
Xin Eric Wang
Qiuyuan Huang
Asli Celikyilmaz
Jianfeng Gao
Dinghan Shen
Yuan-fang Wang
William Yang Wang
Lei Zhang
LM&Ro
SSL
84
537
0
25 Nov 2018
Optimizing Agent Behavior over Long Time Scales by Transporting Value
Optimizing Agent Behavior over Long Time Scales by Transporting Value
Chia-Chun Hung
Timothy Lillicrap
Josh Abramson
Yan Wu
M. Berk Mirza
Federico Carnevale
Arun Ahuja
Greg Wayne
63
124
0
15 Oct 2018
Unsupervised Predictive Memory in a Goal-Directed Agent
Unsupervised Predictive Memory in a Goal-Directed Agent
Greg Wayne
Chia-Chun Hung
David Amos
M. Berk Mirza
Arun Ahuja
...
David Silver
Koray Kavukcuoglu
M. Botvinick
Demis Hassabis
Timothy Lillicrap
75
191
0
28 Mar 2018
Unsupervised Representation Learning by Predicting Image Rotations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OOD
SSL
DRL
231
3,283
0
21 Mar 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted
  Actor-Learner Architectures
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
L. Espeholt
Hubert Soyer
Rémi Munos
Karen Simonyan
Volodymyr Mnih
...
Vlad Firoiu
Tim Harley
Iain Dunning
Shane Legg
Koray Kavukcuoglu
181
1,594
0
05 Feb 2018
Gated-Attention Architectures for Task-Oriented Language Grounding
Gated-Attention Architectures for Task-Oriented Language Grounding
Devendra Singh Chaplot
Kanthashree Mysore Sathyendra
Rama Kumar Pasumarthi
Dheeraj Rajagopal
Ruslan Salakhutdinov
LM&Ro
47
277
0
22 Jun 2017
Grounded Language Learning in a Simulated 3D World
Grounded Language Learning in a Simulated 3D World
Karl Moritz Hermann
Felix Hill
Simon Green
Fumin Wang
Ryan Faulkner
...
Denis Teplyashin
Marcus Wainwright
C. Apps
Demis Hassabis
Phil Blunsom
LM&Ro
42
306
0
20 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
628
130,942
0
12 Jun 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
271
8,114
0
15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
806
11,866
0
09 Mar 2017
RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning
RL2^22: Fast Reinforcement Learning via Slow Reinforcement Learning
Yan Duan
John Schulman
Xi Chen
Peter L. Bartlett
Ilya Sutskever
Pieter Abbeel
OffRL
76
1,015
0
09 Nov 2016
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
337
7,316
0
13 Jun 2016
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
189
8,833
0
04 Feb 2016
ShapeNet: An Information-Rich 3D Model Repository
ShapeNet: An Information-Rich 3D Model Repository
Angel X. Chang
Thomas Funkhouser
Leonidas Guibas
Pat Hanrahan
Qi-Xing Huang
...
Shuran Song
Hao Su
Jianxiong Xiao
L. Yi
Feng Yu
3DV
127
5,508
0
09 Dec 2015
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
300
13,214
0
09 Sep 2015
Unsupervised Visual Representation Learning by Context Prediction
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRL
SSL
164
2,782
0
19 May 2015
Memory Networks
Memory Networks
Jason Weston
S. Chopra
Antoine Bordes
GNN
KELM
145
1,705
0
15 Oct 2014
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