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Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural
  Computer Architecture

Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer Architecture

30 October 2019
Daniel Tanneberg
Elmar Rueckert
Jan Peters
ArXivPDFHTML

Papers citing "Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer Architecture"

15 / 15 papers shown
Title
Feed-Forward Neural Networks Need Inductive Bias to Learn Equality
  Relations
Feed-Forward Neural Networks Need Inductive Bias to Learn Equality Relations
Tillman Weyde
R. Kopparti
35
9
0
04 Dec 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
Improving Exploration in Evolution Strategies for Deep Reinforcement
  Learning via a Population of Novelty-Seeking Agents
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
Edoardo Conti
Vashisht Madhavan
F. Such
Joel Lehman
Kenneth O. Stanley
Jeff Clune
61
347
0
18 Dec 2017
HyperENTM: Evolving Scalable Neural Turing Machines through HyperNEAT
HyperENTM: Evolving Scalable Neural Turing Machines through HyperNEAT
Jakob Merrild
Mikkel Angaju Rasmussen
S. Risi
29
9
0
12 Oct 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Tim Salimans
Jonathan Ho
Xi Chen
Szymon Sidor
Ilya Sutskever
92
1,538
0
10 Mar 2017
Can Active Memory Replace Attention?
Can Active Memory Replace Attention?
Lukasz Kaiser
Samy Bengio
58
59
0
27 Oct 2016
Neural GPUs Learn Algorithms
Neural GPUs Learn Algorithms
Lukasz Kaiser
Ilya Sutskever
79
369
0
25 Nov 2015
Learning Simple Algorithms from Examples
Learning Simple Algorithms from Examples
Wojciech Zaremba
Tomas Mikolov
Armand Joulin
Rob Fergus
MLAU
63
100
0
23 Nov 2015
Neural Programmer: Inducing Latent Programs with Gradient Descent
Neural Programmer: Inducing Latent Programs with Gradient Descent
Arvind Neelakantan
Quoc V. Le
Ilya Sutskever
ODL
76
263
0
16 Nov 2015
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
A. Kumar
Ozan Irsoy
Peter Ondruska
Mohit Iyyer
James Bradbury
Ishaan Gulrajani
Victor Zhong
Romain Paulus
R. Socher
113
1,180
0
24 Jun 2015
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets
Armand Joulin
Tomas Mikolov
TPM
135
411
0
03 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
Neural Turing Machines
Neural Turing Machines
Alex Graves
Greg Wayne
Ivo Danihelka
97
2,327
0
20 Oct 2014
Learning to Execute
Learning to Execute
Wojciech Zaremba
Ilya Sutskever
ODL
87
560
0
17 Oct 2014
Memory Networks
Memory Networks
Jason Weston
S. Chopra
Antoine Bordes
GNN
KELM
145
1,705
0
15 Oct 2014
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