Combining Online Learning and Equilibrium Computation in Security Games
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[1] Manish Jain,et al. Computing optimal randomized resource allocations for massive security games , 2009, AAMAS 2009.
[2] Juliane Hahn,et al. Security And Game Theory Algorithms Deployed Systems Lessons Learned , 2016 .
[3] Viliam Lisý,et al. Online Learning Methods for Border Patrol Resource Allocation , 2014, GameSec.
[4] Alexandre Proutière,et al. Stochastic and Adversarial Combinatorial Bandits , 2015, ArXiv.
[5] Vincent Conitzer,et al. Stackelberg vs. Nash in Security Games: An Extended Investigation of Interchangeability, Equivalence, and Uniqueness , 2011, J. Artif. Intell. Res..
[6] Vincent Conitzer,et al. Stackelberg vs. Nash in security games: interchangeability, equivalence, and uniqueness , 2010, AAMAS 2010.
[7] Milind Tambe,et al. Urban security: game-theoretic resource allocation in networked physical domains , 2010, AAAI 2010.
[8] Milind Tambe,et al. Stop the compartmentalization: unified robust algorithms for handling uncertainties in security games , 2014, AAMAS.
[9] Bo An,et al. Security games with surveillance cost and optimal timing of attack execution , 2013, AAMAS.
[10] Manish Jain,et al. Risk-Averse Strategies for Security Games with Execution and Observational Uncertainty , 2011, AAAI.
[11] D. Fudenberg,et al. The Theory of Learning in Games , 1998 .
[12] Milind Tambe,et al. Approximation methods for infinite Bayesian Stackelberg games: modeling distributional payoff uncertainty , 2011, AAMAS.
[13] Djallel Bouneffouf,et al. Finite-time analysis of the multi-armed bandit problem with known trend , 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).
[14] Bo An,et al. Security Games with Limited Surveillance , 2012, AAAI.
[15] Rong Yang,et al. Adaptive resource allocation for wildlife protection against illegal poachers , 2014, AAMAS.
[16] Sarit Kraus,et al. ARMOR Security for Los Angeles International Airport , 2008, AAAI.
[17] Eric Moulines,et al. On Upper-Confidence Bound Policies for Switching Bandit Problems , 2011, ALT.
[18] Rong Yang,et al. Improving resource allocation strategies against human adversaries in security games: An extended study , 2013, Artif. Intell..
[19] Vladik Kreinovich,et al. Efficient Approximation for Security Games with Interval Uncertainty , 2012, AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health.
[20] Y. Freund,et al. The non-stochastic multi-armed bandit problem , 2001 .
[21] Vincent Conitzer,et al. Stackelberg vs. Nash in security games: interchangeability, equivalence, and uniqueness , 2010, AAMAS.
[22] Maria-Florina Balcan,et al. Commitment Without Regrets: Online Learning in Stackelberg Security Games , 2015, EC.
[23] Michael J. Coursey. U.S. Customs and Border Protection , 2003 .
[24] Milind Tambe,et al. Keeping Pace with Criminals: Designing Patrol Allocation Against Adaptive Opportunistic Criminals , 2015, AAMAS.
[25] Rong Yang,et al. A robust approach to addressing human adversaries in security games , 2012, AAMAS.
[26] Michael H. Bowling,et al. Decision-Theoretic Clustering of Strategies , 2015, AAAI Workshop: Computer Poker and Imperfect Information.
[27] Milind Tambe,et al. Security and Game Theory: IRIS – A Tool for Strategic Security Allocation in Transportation Networks , 2011, AAMAS 2011.
[28] Bo An,et al. PROTECT: a deployed game theoretic system to protect the ports of the United States , 2012, AAMAS.
[29] Peter I. Cowling,et al. Information Set Monte Carlo Tree Search , 2012, IEEE Transactions on Computational Intelligence and AI in Games.
[30] Ariel D. Procaccia,et al. Lazy Defenders Are Almost Optimal against Diligent Attackers , 2014, AAAI.
[31] Peter Auer,et al. The Nonstochastic Multiarmed Bandit Problem , 2002, SIAM J. Comput..
[32] Michael H. Bowling,et al. Online implicit agent modelling , 2013, AAMAS.
[33] Sarit Kraus,et al. Robust solutions to Stackelberg games: Addressing bounded rationality and limited observations in human cognition , 2010, Artif. Intell..