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A State Aggregation Approach for Solving Knapsack Problem with Deep
  Reinforcement Learning

A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning

25 April 2020
Reza Refaei Afshar
Yingqian Zhang
M. Firat
U. Kaymak
    OffRL
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Papers citing "A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning"

6 / 6 papers shown
Title
Machine Learning for Combinatorial Optimization: a Methodological Tour
  d'Horizon
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon
Yoshua Bengio
Andrea Lodi
Antoine Prouvost
131
1,367
0
15 Nov 2018
Attention, Learn to Solve Routing Problems!
Attention, Learn to Solve Routing Problems!
W. Kool
H. V. Hoof
Max Welling
83
1,193
0
22 Mar 2018
Learning Combinatorial Optimization Algorithms over Graphs
Learning Combinatorial Optimization Algorithms over Graphs
H. Dai
Elias Boutros Khalil
Yuyu Zhang
B. Dilkina
Le Song
86
1,453
0
05 Apr 2017
Neural Combinatorial Optimization with Reinforcement Learning
Neural Combinatorial Optimization with Reinforcement Learning
Irwan Bello
Hieu H. Pham
Quoc V. Le
Mohammad Norouzi
Samy Bengio
107
1,472
0
29 Nov 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
161
8,805
0
04 Feb 2016
Pointer Networks
Pointer Networks
Oriol Vinyals
Meire Fortunato
Navdeep Jaitly
90
3,036
0
09 Jun 2015
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