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Deep Reinforcement Learning for Green Security Games with Real-Time Information
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Deep Reinforcement Learning for Green Security Games with Real-Time Information (2019)Deep Reinforcement Learning for Green Sec…Responsibility Research for Trustworthy Autonomous Systems (Blue Sky Ideas Track) (2021)Responsibility Research for T…The equivalence of linear programs and zero-sum games (2012)The equivalence of linear pro…GUARDS and PROTECT (2011)GUARDS and PROTECTA double oracle algorithm for zero-sum security games on graphs (2011)A double oracle algorithm for…Computing optimal strategies to commit to in extensive-form games (2010)Computing optimal strategies …Deployed ARMOR protection: the application of a game theoretic model for security at the Los Angeles International Airport (2008)Deployed ARMOR protection: th…Learning, Regret Minimization, and Equilibria (2007)Learning, Regret Minimization…The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies (2020)The AI Economist: Improving E…Perfect Equilibrium in a Bargaining Model (1982)Computing the optimal strategy to commit to (2006)Playing games for security: an efficient exact algorithm for solving Bayesian Stackelberg games (2008)Stackelberg vs. Nash in Security Games: An Extended Investigation of Interchangeability, Equivalence, and Uniqueness (2011)PROTECT: a deployed game theoretic system to protect the ports of the United States (2012)Analyzing the Effectiveness of Adversary Modeling in Security Games (2013)Equilibrium points in n -person games (1950)Recherches sur les principes mathématiques de la théorie des richesses (1980)Commitment to Correlated Strategies (2011)A Stackelberg security game with random strategies based on the extraproximal theoretic approach (2014)Using Correlated Strategies for Computing Stackelberg Equilibria in Extensive-Form Games (2016)Princeton University Press (2017)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)The Theory of Learning in Games (1998)Prediction, Learning, and Games (2006)Multiplicative updates outperform generic no-regret learning in congestion games (2009)Fast Convergence of Regularized Learning in Games (2015)Intrinsic Robustness of the Price of Anarchy (2015)A Generalized Nash Solution for Two-Person Bargaining Games with Incomplete Information (1972)A hypercube queuing model for facility location and redistricting in urban emergency services (1974)Robust solutions to Stackelberg games: Addressing bounded rationality and limited observations in human cognition (2010)Stackelberg vs. Nash in Security Games: An Extended Investigation of Interchangeability, Equivalence, and Uniqueness (2011)Zur Theorie der Gesellschaftsspiele (1928)Theory of Games and Economic Behavior (1945)Near-optimal no-regret algorithms for zero-sum games (2014)Theory of games and economic behavior (2019)A Contribution to the Theory of Taxation (1927)Agent-based modeling: Methods and techniques for simulating human systems (2002)The economy needs agent-based modelling (2009)Comparing minds and machines: implications for financial stability (2021)Two-Person Zero-Sum Games for Network Interdiction (1995)An Exact Double-Oracle Algorithm for Zero-Sum Extensive-Form Games with Imperfect Information (2014)Security Games for Controlling Contagion (2021)Improving resource allocation strategy against human adversaries in security games (2011)A Deployed Quantal Response-Based Patrol Planning System for the U.S. Coast Guard (2013)
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References

  • 2008Deployed ARMOR protection: the application of a game theoretic model for security at the Los Angeles International Airport343 cited
  • 2021Responsibility Research for Trustworthy Autonomous Systems (Blue Sky Ideas Track)215 cited
  • 2007Learning, Regret Minimization, and Equilibria183 cited
  • 2011A double oracle algorithm for zero-sum security games on graphs155 cited
  • 2011GUARDS and PROTECT102 cited
  • 2012The equivalence of linear programs and zero-sum games72 cited
  • 2010Computing optimal strategies to commit to in extensive-form games71 cited

Cited by

  • 2020The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies83 cited

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