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Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey

Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey

11 October 2023
Gregory Palmer
Chris Parry
Daniel J.B. Harrold
Chris Willis
    AI4CE
ArXivPDFHTML

Papers citing "Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey"

50 / 63 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
145
3
0
23 Oct 2024
Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling
Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling
Zun Li
Marc Lanctot
Kevin R. McKee
Luke Marris
I. Gemp
Daniel Hennes
Paul Muller
Kate Larson
Yoram Bachrach
Michael P. Wellman
47
11
0
01 Feb 2023
Exploration in Deep Reinforcement Learning: A Survey
Exploration in Deep Reinforcement Learning: A Survey
Pawel Ladosz
Lilian Weng
Minwoo Kim
H. Oh
OffRL
79
352
0
02 May 2022
NeuPL: Neural Population Learning
NeuPL: Neural Population Learning
Siqi Liu
Luke Marris
Daniel Hennes
J. Merel
N. Heess
T. Graepel
71
17
0
15 Feb 2022
No-Press Diplomacy from Scratch
No-Press Diplomacy from Scratch
A. Bakhtin
David J. Wu
Adam Lerer
Noam Brown
162
44
0
06 Oct 2021
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
82
41
0
14 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
Deep Multiagent Reinforcement Learning: Challenges and Directions
Deep Multiagent Reinforcement Learning: Challenges and Directions
Annie Wong
Thomas Bäck
Anna V. Kononova
Aske Plaat
AI4CE
55
94
0
29 Jun 2021
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
Daochen Zha
Jingru Xie
Wenye Ma
Sheng Zhang
Xiangru Lian
Xia Hu
Ji Liu
47
117
0
11 Jun 2021
Continual World: A Robotic Benchmark For Continual Reinforcement
  Learning
Continual World: A Robotic Benchmark For Continual Reinforcement Learning
Maciej Wołczyk
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
OffRL
65
95
0
23 May 2021
Gym-ANM: Open-source software to leverage reinforcement learning for
  power system management in research and education
Gym-ANM: Open-source software to leverage reinforcement learning for power system management in research and education
Robin Henry
D. Ernst
42
11
0
18 May 2021
Graph Neural Network for Traffic Forecasting: A Survey
Graph Neural Network for Traffic Forecasting: A Survey
Weiwei Jiang
Jiayun Luo
GNN
AI4TS
AI4CE
208
873
0
27 Jan 2021
Curriculum Learning with a Progression Function
Curriculum Learning with a Progression Function
Andrea Bassich
Francesco Foglino
Matteo Leonetti
D. Kudenko
ODL
53
6
0
02 Aug 2020
DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional
  Action Space
DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional Action Space
Siwei Chen
Xiao Ma
David Hsu
17
3
0
13 Jul 2020
Adaptive Procedural Task Generation for Hard-Exploration Problems
Adaptive Procedural Task Generation for Hard-Exploration Problems
Kuan Fang
Yuke Zhu
Silvio Savarese
Li Fei-Fei
55
26
0
01 Jul 2020
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?
Keita Ota
Tomoaki Oiki
Devesh K. Jha
T. Mariyama
D. Nikovski
OffRL
71
42
0
03 Mar 2020
CybORG: An Autonomous Cyber Operations Research Gym
CybORG: An Autonomous Cyber Operations Research Gym
Callum Baillie
Maxwell Standen
Jonathon Schwartz
Michael Docking
David Bowman
Junae Kim
28
29
0
25 Feb 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
164
1,823
0
13 Dec 2019
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Pei Sun
Henrik Kretzschmar
Xerxes Dotiwalla
Aurelien Chouard
Vijaysai Patnaik
...
Shuyang Cheng
Yu Zhang
Jonathon Shlens
Zhifeng Chen
Dragomir Anguelov
124
2,881
0
10 Dec 2019
Deep Reinforcement Learning meets Graph Neural Networks: exploring a
  routing optimization use case
Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case
Paul Almasan
J. Suárez-Varela
Krzysztof Rusek
Pere Barlet-Ros
A. Cabellos-Aparicio
GNN
AI4CE
94
187
0
16 Oct 2019
Multi-task Learning and Catastrophic Forgetting in Continual
  Reinforcement Learning
Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement Learning
Joao G. Ribeiro
Francisco S. Melo
João Dias
CLL
39
12
0
22 Sep 2019
RecSim: A Configurable Simulation Platform for Recommender Systems
RecSim: A Configurable Simulation Platform for Recommender Systems
Eugene Ie
Chih-Wei Hsu
Martin Mladenov
Vihan Jain
Sanmit Narvekar
Jing Wang
Rui Wu
Craig Boutilier
100
181
0
11 Sep 2019
OpenSpiel: A Framework for Reinforcement Learning in Games
OpenSpiel: A Framework for Reinforcement Learning in Games
Marc Lanctot
Edward Lockhart
Jean-Baptiste Lespiau
V. Zambaldi
Satyaki Upadhyay
...
Julian Schrittwieser
Thomas W. Anthony
Edward Hughes
Ivo Danihelka
Jonah Ryan-Davis
OffRL
94
250
0
26 Aug 2019
Deep Reinforcement Learning for Cyber Security
Deep Reinforcement Learning for Cyber Security
Thanh Thi Nguyen
Vijay Janapa Reddi
OffRL
AI4CE
42
327
0
13 Jun 2019
Position-aware Graph Neural Networks
Position-aware Graph Neural Networks
Jiaxuan You
Rex Ying
J. Leskovec
93
496
0
11 Jun 2019
DeepMDP: Learning Continuous Latent Space Models for Representation
  Learning
DeepMDP: Learning Continuous Latent Space Models for Representation Learning
Carles Gelada
Saurabh Kumar
Jacob Buckman
Ofir Nachum
Marc G. Bellemare
BDL
78
287
0
06 Jun 2019
Reinforcement Learning for Slate-based Recommender Systems: A Tractable
  Decomposition and Practical Methodology
Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology
Eugene Ie
Vihan Jain
Jing Wang
Sanmit Narvekar
Ritesh Agarwal
...
Vince Gatto
Paul Covington
Jim McFadden
Tushar Chandra
Craig Boutilier
OffRL
98
70
0
29 May 2019
Adversarial Policies: Attacking Deep Reinforcement Learning
Adversarial Policies: Attacking Deep Reinforcement Learning
Adam Gleave
Michael Dennis
Cody Wild
Neel Kant
Sergey Levine
Stuart J. Russell
AAML
80
355
0
25 May 2019
Autonomous Penetration Testing using Reinforcement Learning
Autonomous Penetration Testing using Reinforcement Learning
Jonathon Schwartz
H. Kurniawati
OffRL
43
92
0
15 May 2019
Computing Approximate Equilibria in Sequential Adversarial Games by
  Exploitability Descent
Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent
Edward Lockhart
Marc Lanctot
Julien Pérolat
Jean-Baptiste Lespiau
Dustin Morrill
Finbarr Timbers
K. Tuyls
118
82
0
13 Mar 2019
Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space
Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space
Zhou Fan
Ruilong Su
Weinan Zhang
Yong Yu
61
133
0
04 Mar 2019
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
90
951
0
11 Feb 2019
Generative Adversarial User Model for Reinforcement Learning Based
  Recommendation System
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System
Xinshi Chen
Shuang Li
Hui Li
Shaohua Jiang
Yuan Qi
Le Song
46
209
0
27 Dec 2018
Off-Policy Deep Reinforcement Learning without Exploration
Off-Policy Deep Reinforcement Learning without Exploration
Scott Fujimoto
David Meger
Doina Precup
OffRL
BDL
223
1,608
0
07 Dec 2018
On the Geometry of Adversarial Examples
On the Geometry of Adversarial Examples
Marc Khoury
Dylan Hadfield-Menell
AAML
57
79
0
01 Nov 2018
Deep Counterfactual Regret Minimization
Deep Counterfactual Regret Minimization
Noam Brown
Adam Lerer
Sam Gross
Tuomas Sandholm
112
215
0
01 Nov 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid
Mikayel Samvelyan
Christian Schroeder de Witt
Gregory Farquhar
Jakob N. Foerster
Shimon Whiteson
145
1,671
0
30 Mar 2018
On Quadratic Penalties in Elastic Weight Consolidation
On Quadratic Penalties in Elastic Weight Consolidation
Ferenc Huszár
60
98
0
11 Dec 2017
Intrinsically Motivated Goal Exploration Processes with Automatic
  Curriculum Learning
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning
Sébastien Forestier
Rémy Portelas
Yoan Mollard
Pierre-Yves Oudeyer
79
188
0
07 Aug 2017
Lenient Multi-Agent Deep Reinforcement Learning
Lenient Multi-Agent Deep Reinforcement Learning
Gregory Palmer
K. Tuyls
D. Bloembergen
Rahul Savani
58
160
0
14 Jul 2017
Count-Based Exploration in Feature Space for Reinforcement Learning
Count-Based Exploration in Feature Space for Reinforcement Learning
Jarryd Martin
S. N. Sasikumar
Tom Everitt
Marcus Hutter
55
124
0
25 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
106
2,437
0
15 May 2017
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under
  Partial Observability
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability
Shayegan Omidshafiei
Jason Pazis
Chris Amato
Jonathan P. How
J. Vian
129
498
0
17 Mar 2017
Robust Adversarial Reinforcement Learning
Robust Adversarial Reinforcement Learning
Lerrel Pinto
James Davidson
Rahul Sukthankar
Abhinav Gupta
OOD
95
854
0
08 Mar 2017
A Laplacian Framework for Option Discovery in Reinforcement Learning
A Laplacian Framework for Option Discovery in Reinforcement Learning
Marlos C. Machado
Marc G. Bellemare
Michael Bowling
86
262
0
02 Mar 2017
Stabilising Experience Replay for Deep Multi-Agent Reinforcement
  Learning
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Nantas Nardelli
Gregory Farquhar
Triantafyllos Afouras
Philip Torr
Pushmeet Kohli
Shimon Whiteson
OffRL
186
597
0
28 Feb 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
164
1,536
0
25 Jan 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
360
7,504
0
02 Dec 2016
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
SSeg
636
1,515
0
30 Nov 2016
Playing FPS Games with Deep Reinforcement Learning
Playing FPS Games with Deep Reinforcement Learning
Guillaume Lample
Devendra Singh Chaplot
OffRL
EgoV
86
585
0
18 Sep 2016
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