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Exploration with Unreliable Intrinsic Reward in Multi-Agent
  Reinforcement Learning

Exploration with Unreliable Intrinsic Reward in Multi-Agent Reinforcement Learning

5 June 2019
Wendelin Bohmer
Tabish Rashid
Shimon Whiteson
ArXivPDFHTML

Papers citing "Exploration with Unreliable Intrinsic Reward in Multi-Agent Reinforcement Learning"

6 / 6 papers shown
Title
The StarCraft Multi-Agent Challenge
The StarCraft Multi-Agent Challenge
Mikayel Samvelyan
Tabish Rashid
Christian Schroeder de Witt
Gregory Farquhar
Nantas Nardelli
Tim G. J. Rudner
Chia-Man Hung
Philip Torr
Jakob N. Foerster
Shimon Whiteson
77
947
0
11 Feb 2019
Value-Decomposition Networks For Cooperative Multi-Agent Learning
Value-Decomposition Networks For Cooperative Multi-Agent Learning
P. Sunehag
Guy Lever
A. Gruslys
Wojciech M. Czarnecki
V. Zambaldi
...
Marc Lanctot
Nicolas Sonnerat
Joel Z Leibo
K. Tuyls
T. Graepel
64
997
0
16 Jun 2017
Curiosity-driven Exploration by Self-supervised Prediction
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
LRM
SSL
96
2,423
0
15 May 2017
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Yannis Assael
Nando de Freitas
Shimon Whiteson
123
1,600
0
21 May 2016
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
131
7,590
0
22 Sep 2015
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence
  Modeling
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
285
12,662
0
11 Dec 2014
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