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Incorporating Relational Background Knowledge into Reinforcement
  Learning via Differentiable Inductive Logic Programming

Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming

23 March 2020
Ali Payani
Faramarz Fekri
ArXivPDFHTML

Papers citing "Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming"

14 / 14 papers shown
Title
Inductive Logic Programming via Differentiable Deep Neural Logic
  Networks
Inductive Logic Programming via Differentiable Deep Neural Logic Networks
Ali Payani
Faramarz Fekri
AI4CE
24
41
0
08 Jun 2019
Neural Logic Reinforcement Learning
Neural Logic Reinforcement Learning
Zhengyao Jiang
Shan Luo
NAI
36
72
0
24 Apr 2019
Relational Deep Reinforcement Learning
Relational Deep Reinforcement Learning
V. Zambaldi
David Raposo
Adam Santoro
V. Bapst
Yujia Li
...
Victoria Langston
Razvan Pascanu
M. Botvinick
Oriol Vinyals
Peter W. Battaglia
OffRL
66
219
0
05 Jun 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CE
NAI
325
3,101
0
04 Jun 2018
Learning Explanatory Rules from Noisy Data
Learning Explanatory Rules from Noisy Data
Richard Evans
Edward Grefenstette
89
482
0
13 Nov 2017
Learning to Represent Programs with Graphs
Learning to Represent Programs with Graphs
Miltiadis Allamanis
Marc Brockschmidt
Mahmoud Khademi
GNN
NAI
79
797
0
01 Nov 2017
Rainbow: Combining Improvements in Deep Reinforcement Learning
Rainbow: Combining Improvements in Deep Reinforcement Learning
Matteo Hessel
Joseph Modayil
H. V. Hasselt
Tom Schaul
Georg Ostrovski
Will Dabney
Dan Horgan
Bilal Piot
M. G. Azar
David Silver
OffRL
83
2,255
0
06 Oct 2017
graph2vec: Learning Distributed Representations of Graphs
graph2vec: Learning Distributed Representations of Graphs
A. Narayanan
Mahinthan Chandramohan
R. Venkatesan
Lihui Chen
Yang Liu
Shantanu Jaiswal
GNN
43
734
0
17 Jul 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
309
129,831
0
12 Jun 2017
A simple neural network module for relational reasoning
A simple neural network module for relational reasoning
Adam Santoro
David Raposo
David Barrett
Mateusz Malinowski
Razvan Pascanu
Peter W. Battaglia
Timothy Lillicrap
GNN
NAI
90
1,610
0
05 Jun 2017
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
276
18,300
0
27 May 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
150
8,805
0
04 Feb 2016
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
100
7,590
0
22 Sep 2015
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
63
12,163
0
19 Dec 2013
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