Deep Reinforcement Learning for Green Security Games with Real-Time
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Deep Reinforcement Learning for Green Security Games with Real-Time Information

6 November 2018

Zheyuan Ryan Shi

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Papers citing "Deep Reinforcement Learning for Green Security Games with Real-Time Information"

17 / 17 papers shown

Title
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 66 11 0 01 Feb 2023
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games Chun Kai Ling J. Zico Kolter Fei Fang 60 0 0 29 Dec 2022
Targets in Reinforcement Learning to solve Stackelberg Security Games Saptarashmi Bandyopadhyay Chenqi Zhu Philip Daniel Joshua Morrison Ethan Shay John P Dickerson 45 1 0 30 Nov 2022
Evolutionary Approach to Security Games with Signaling A. Żychowski Jacek Mańdziuk Elizabeth Bondi-Kelly Aravind Venugopal Milind Tambe Balaraman Ravindran 121 4 0 29 Apr 2022
Minimizing Expected Intrusion Detection Time in Adversarial Patrolling David Klavska Antonín Kuvcera Vít Musil Vojtvech vRehák AAML 23 0 0 02 Feb 2022
NSGZero: Efficiently Learning Non-Exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search Wanqi Xue Bo An C. Yeo 13 4 0 17 Jan 2022
Adversarial Deep Learning for Online Resource Allocation Bingqian Du Zhiyi Huang Chuan Wu AAML 50 6 0 19 Nov 2021
Robust Reinforcement Learning Under Minimax Regret for Green Security Lily Xu Andrew Perrault Fei Fang Haipeng Chen Milind Tambe AAML 111 24 0 15 Jun 2021
Evaluating Strategy Exploration in Empirical Game-Theoretic Analysis Yongzhao Wang Gary Qiurui Ma Michael P. Wellman 45 12 0 21 May 2021
Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization Zhen-Yu Tang Chao Yu Boyuan Chen Huazhe Xu Xiaolong Wang Fei Fang S. Du Yu Wang Yi Wu 106 55 0 08 Mar 2021
Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning Sheng Li Jayesh K. Gupta Peter Morales R. Allen Mykel J. Kochenderfer GNN 93 86 0 19 Jun 2020
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies Stephan Zheng Alexander R. Trott Sunil Srinivasa Nikhil Naik Melvin Gruesbeck David C. Parkes R. Socher 60 136 0 28 Apr 2020
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning Sanket Shah Arunesh Sinha Pradeep Varakantham Andrew Perrault Milind Tambe 72 12 0 20 Nov 2019
Bi-level Actor-Critic for Multi-agent Coordination Haifeng Zhang Weizhe Chen Zeren Huang Minne Li Yaodong Yang Weinan Zhang Jun Wang 185 93 0 08 Sep 2019
MIPaaL: Mixed Integer Program as a Layer Aaron Ferber Bryan Wilder B. Dilkina Milind Tambe 108 147 0 12 Jul 2019
Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning Liang Tong Aron Laszka Chao Yan Ning Zhang Yevgeniy Vorobeychik AAML 51 18 0 20 Jun 2019
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 264 913 0 06 Jan 2017