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Targets in Reinforcement Learning to solve Stackelberg Security Games

Targets in Reinforcement Learning to solve Stackelberg Security Games

30 November 2022
Saptarashmi Bandyopadhyay
Chenqi Zhu
Philip Daniel
Joshua Morrison
Ethan Shay
John P Dickerson
ArXiv (abs)PDFHTML

Papers citing "Targets in Reinforcement Learning to solve Stackelberg Security Games"

6 / 6 papers shown
Title
Evaluating the Robustness of Collaborative Agents
Evaluating the Robustness of Collaborative Agents
P. Knott
Micah Carroll
Sam Devlin
K. Ciosek
Katja Hofmann
Anca Dragan
Rohin Shah
46
35
0
14 Jan 2021
Reinforcement Learning for Unified Allocation and Patrolling in
  Signaling Games with Uncertainty
Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty
Aravind Venugopal
Elizabeth Bondi-Kelly
Harshavardhan Kamarthi
Keval Dholakia
Balaraman Ravindran
Milind Tambe
30
6
0
18 Dec 2020
PettingZoo: Gym for Multi-Agent Reinforcement Learning
PettingZoo: Gym for Multi-Agent Reinforcement Learning
J. K. Terry
Benjamin Black
Nathaniel Grammel
Mario Jayakumar
Ananth Hari
...
Caroline Horsch
Clemens Dieffendahl
Niall L. Williams
Yashas Lokesh
Praveen Ravi
OffRL
87
282
0
30 Sep 2020
Model-free Reinforcement Learning for Stochastic Stackelberg Security
  Games
Model-free Reinforcement Learning for Stochastic Stackelberg Security Games
Rajesh K Mishra
Deepanshu Vasal
Sriram Vishwanath
14
7
0
24 May 2020
Deep Reinforcement Learning for Green Security Games with Real-Time
  Information
Deep Reinforcement Learning for Green Security Games with Real-Time Information
Yufei Wang
Zheyuan Ryan Shi
Lantao Yu
Yi Wu
Rohit Singh
Lucas Joppa
Fei Fang
48
73
0
06 Nov 2018
The Complexity of Decentralized Control of Markov Decision Processes
The Complexity of Decentralized Control of Markov Decision Processes
D. Bernstein
S. Zilberstein
N. Immerman
108
1,592
0
16 Jan 2013
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