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NSGZero: Efficiently Learning Non-Exploitable Policy in Large-Scale
  Network Security Games with Neural Monte Carlo Tree Search

NSGZero: Efficiently Learning Non-Exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search

AAAI Conference on Artificial Intelligence (AAAI), 2022
17 January 2022
Wanqi Xue
Bo An
C. Yeo
ArXiv (abs)PDFHTMLGithub

Papers citing "NSGZero: Efficiently Learning Non-Exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search"

3 / 3 papers shown
R2PS: Worst-Case Robust Real-Time Pursuit Strategies under Partial Observability
R2PS: Worst-Case Robust Real-Time Pursuit Strategies under Partial Observability
Runyu Lu
Ruochuan Shi
Yuanheng Zhu
Dongbin Zhao
241
0
0
21 Nov 2025
Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games
Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games
Runyu Lu
Peng Zhang
Ruochuan Shi
Yuanheng Zhu
Dongbin Zhao
Yang Liu
Dong Wang
Cesare Alippi
OffRL
213
3
0
02 Nov 2025
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker
Matej Moravcík
Martin Schmid
Neil Burch
Viliam Lisý
Dustin Morrill
Nolan Bard
Trevor Davis
Kevin Waugh
Michael Bradley Johanson
Michael Bowling
BDL
676
988
0
06 Jan 2017
1
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