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Segregation Dynamics with Reinforcement Learning and Agent Based
  Modeling

Segregation Dynamics with Reinforcement Learning and Agent Based Modeling

18 September 2019
Egemen Sert
Y. Bar-Yam
A. Morales
ArXivPDFHTML

Papers citing "Segregation Dynamics with Reinforcement Learning and Agent Based Modeling"

14 / 14 papers shown
Title
Information-Directed Exploration for Deep Reinforcement Learning
Information-Directed Exploration for Deep Reinforcement Learning
Nikolay Nikolov
Johannes Kirschner
Felix Berkenkamp
Andreas Krause
47
69
0
18 Dec 2018
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
Marc Lanctot
V. Zambaldi
A. Gruslys
Angeliki Lazaridou
K. Tuyls
Julien Perolat
David Silver
T. Graepel
84
628
0
02 Nov 2017
Emergent Complexity via Multi-Agent Competition
Emergent Complexity via Multi-Agent Competition
Trapit Bansal
J. Pachocki
Szymon Sidor
Ilya Sutskever
Igor Mordatch
52
387
0
10 Oct 2017
Emergence of Locomotion Behaviours in Rich Environments
Emergence of Locomotion Behaviours in Rich Environments
N. Heess
TB Dhruva
S. Sriram
Jay Lemmon
J. Merel
...
Tom Erez
Ziyun Wang
S. M. Ali Eslami
Martin Riedmiller
David Silver
195
934
0
07 Jul 2017
EX2: Exploration with Exemplar Models for Deep Reinforcement Learning
EX2: Exploration with Exemplar Models for Deep Reinforcement Learning
Justin Fu
John D. Co-Reyes
Sergey Levine
OffRL
52
155
0
03 Mar 2017
Multi-agent Reinforcement Learning in Sequential Social Dilemmas
Multi-agent Reinforcement Learning in Sequential Social Dilemmas
Joel Z Leibo
V. Zambaldi
Marc Lanctot
J. Marecki
T. Graepel
60
606
0
10 Feb 2017
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement
  Learning
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
Haoran Tang
Rein Houthooft
Davis Foote
Adam Stooke
Xi Chen
Yan Duan
John Schulman
F. Turck
Pieter Abbeel
OffRL
86
764
0
15 Nov 2016
Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic
Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic
S. Gu
Timothy Lillicrap
Zoubin Ghahramani
Richard Turner
Sergey Levine
OffRL
BDL
76
344
0
07 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
168
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
146
7,590
0
22 Sep 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
240
13,174
0
09 Sep 2015
High-Dimensional Continuous Control Using Generalized Advantage
  Estimation
High-Dimensional Continuous Control Using Generalized Advantage Estimation
John Schulman
Philipp Moritz
Sergey Levine
Michael I. Jordan
Pieter Abbeel
OffRL
60
3,368
0
08 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.1K
149,474
0
22 Dec 2014
Empirically Evaluating Multiagent Learning Algorithms
Empirically Evaluating Multiagent Learning Algorithms
Erik Zawadzki
A. Lipson
Kevin Leyton-Brown
52
28
0
31 Jan 2014
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