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Beyond CAGE: Investigating Generalization of Learned Autonomous Network
  Defense Policies

Beyond CAGE: Investigating Generalization of Learned Autonomous Network Defense Policies

28 November 2022
M. Wolk
A. Applebaum
Camron Dennler
P. Dwyer
M. Moskowitz
Ha Nguyen
N. Nichols
Nicole Park
Paul Rachwalski
Frank Rau
A. Webster
    OffRL
    AAML
ArXivPDFHTML

Papers citing "Beyond CAGE: Investigating Generalization of Learned Autonomous Network Defense Policies"

18 / 18 papers shown
Title
Entity-based Reinforcement Learning for Autonomous Cyber Defence
Entity-based Reinforcement Learning for Autonomous Cyber Defence
Isaac Symes Thompson
Alberto Caron
Chris Hicks
V. Mavroudis
AAML
143
3
0
23 Oct 2024
Autonomous Network Defence using Reinforcement Learning
Autonomous Network Defence using Reinforcement Learning
Myles Foley
Chris Hicks
Kate Highnam
V. Mavroudis
AAML
41
30
0
26 Sep 2024
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement
  Learning
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning
Julien Perolat
Bart De Vylder
Daniel Hennes
Eugene Tarassov
Florian Strub
...
Rémi Munos
David Silver
Satinder Singh
Demis Hassabis
K. Tuyls
75
192
0
30 Jun 2022
Learning Security Strategies through Game Play and Optimal Stopping
Learning Security Strategies through Game Play and Optimal Stopping
K. Hammar
Rolf Stadler
AAML
47
10
0
29 May 2022
Deep hierarchical reinforcement agents for automated penetration testing
Deep hierarchical reinforcement agents for automated penetration testing
Khuong Tran
Ashlesha Akella
Maxwell Standen
Junae Kim
David Bowman
Toby J. Richer
Chin-Teng Lin Institution One
79
41
0
14 Sep 2021
CyGIL: A Cyber Gym for Training Autonomous Agents over Emulated Network
  Systems
CyGIL: A Cyber Gym for Training Autonomous Agents over Emulated Network Systems
Li Li
Raed Fayad
Adrian Taylor
23
41
0
07 Sep 2021
CybORG: A Gym for the Development of Autonomous Cyber Agents
CybORG: A Gym for the Development of Autonomous Cyber Agents
Maxwell Standen
Martin Lucas
David Bowman
Toby J. Richer
Junae Kim
Damian A. Marriott
47
78
0
20 Aug 2021
Network Environment Design for Autonomous Cyberdefense
Network Environment Design for Autonomous Cyberdefense
Andres Molina-Markham
Cory Miniter
Becky Powell
Ahmad Ridley
50
42
0
13 Mar 2021
Proximal Policy Optimization via Enhanced Exploration Efficiency
Proximal Policy Optimization via Enhanced Exploration Efficiency
Junwei Zhang
Zhenghao Zhang
Shuai Han
Shuai Lu
97
44
0
11 Nov 2020
Finding Effective Security Strategies through Reinforcement Learning and
  Self-Play
Finding Effective Security Strategies through Reinforcement Learning and Self-Play
K. Hammar
Rolf Stadler
AAML
25
62
0
17 Sep 2020
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms
Shengyi Huang
Santiago Ontañón
59
316
0
25 Jun 2020
Dota 2 with Large Scale Deep Reinforcement Learning
Dota 2 with Large Scale Deep Reinforcement Learning
OpenAI OpenAI
:
Christopher Berner
Greg Brockman
Brooke Chan
...
Szymon Sidor
Ilya Sutskever
Jie Tang
Filip Wolski
Susan Zhang
GNN
VLM
CLL
AI4CE
LRM
153
1,822
0
13 Dec 2019
Distributed Prioritized Experience Replay
Distributed Prioritized Experience Replay
Dan Horgan
John Quan
David Budden
Gabriel Barth-Maron
Matteo Hessel
H. V. Hasselt
David Silver
147
740
0
02 Mar 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
473
19,006
0
20 Jul 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
106
2,436
0
15 May 2017
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents
Yen-Chen Lin
Zhang-Wei Hong
Yuan-Hong Liao
Meng-Li Shih
Ming-Yuan Liu
Min Sun
AAML
85
414
0
08 Mar 2017
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
191
8,850
0
04 Feb 2016
On Upper-Confidence Bound Policies for Non-Stationary Bandit Problems
On Upper-Confidence Bound Policies for Non-Stationary Bandit Problems
Aurélien Garivier
Eric Moulines
88
295
0
22 May 2008
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