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SquirRL: Automating Attack Analysis on Blockchain Incentive Mechanisms
  with Deep Reinforcement Learning

SquirRL: Automating Attack Analysis on Blockchain Incentive Mechanisms with Deep Reinforcement Learning

4 December 2019
Charlie Hou
Mingxun Zhou
Yan Ji
Philip Daian
Florian Tramèr
Giulia Fanti
Ari Juels
    AAML
ArXivPDFHTML

Papers citing "SquirRL: Automating Attack Analysis on Blockchain Incentive Mechanisms with Deep Reinforcement Learning"

4 / 4 papers shown
Title
Colordag: An Incentive-Compatible Blockchain
Colordag: An Incentive-Compatible Blockchain
Ittai Abraham
Danny Dolev
Ittay Eyal
Joseph Y. Halpern
15
6
0
22 Aug 2023
Selfish Behavior in the Tezos Proof-of-Stake Protocol
Selfish Behavior in the Tezos Proof-of-Stake Protocol
M. Neuder
Daniel J. Moroz
Rithvik Rao
David C. Parkes
19
29
0
06 Dec 2019
SoK: Tools for Game Theoretic Models of Security for Cryptocurrencies
SoK: Tools for Game Theoretic Models of Security for Cryptocurrencies
Sarah Azouvi
A. Hicks
31
40
0
21 May 2019
An Introduction to Deep Reinforcement Learning
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet
Peter Henderson
Riashat Islam
Marc G. Bellemare
Joelle Pineau
OffRL
AI4CE
80
1,231
0
30 Nov 2018
1