Julio B. Clempner

78 papers Journal 69Unranked 8

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Learning attack-defense response in continuous-time discrete-states Stackelberg Security Markov games. J. Exp. Theor. Artif. Intell. Julio B. Clempner
2024	—	`book`	Optimization and Games for Controllable Markov Chains - Numerical Methods with Application to Finance and Engineering Julio B. Clempner, Alexander S. Poznyak
2024	J	`jnl`	Revealing perceived individuals' self-interest. J. Oper. Res. Soc. Julio B. Clempner
2023	J	`jnl`	A Bayesian reinforcement learning approach in markov games for computing near-optimal policies. Ann. Math. Artif. Intell. Julio B. Clempner
2023	J	`jnl`	A tri-level approach for computing Stackelberg Markov game equilibrium: Computational analysis. J. Comput. Sci. Julio B. Clempner
2023	J	`jnl`	Computing a mechanism for a Bayesian and partially observable Markov approach. Int. J. Appl. Math. Comput. Sci. Julio B. Clempner, Alexander S. Poznyak
2023	J	`jnl`	Computing fortification games in a tri-level Stackelberg Markov chains approach. Eng. Appl. Artif. Intell. Julio B. Clempner
2022	J	`jnl`	A Lyapunov approach for stable reinforcement learning. Comput. Appl. Math. Julio B. Clempner
2022	J	`jnl`	A Manipulation Game Based on Machiavellian Strategies. IGTR Julio B. Clempner
2022	J	`jnl`	Algorithmic-gradient approach for the Price of Anarchy and Stability for incomplete information. J. Comput. Sci. Julio B. Clempner
2022	J	`jnl`	Learning machiavellian strategies for manipulation in Stackelberg security games. Ann. Math. Artif. Intell. Julio B. Clempner
2022	J	`jnl`	Reveling misleading information for defenders and attackers in repeated Stackelberg Security Games. Eng. Appl. Artif. Intell. Julio B. Clempner
2021	J	`jnl`	A Markovian Stackelberg game approach for computing an optimal dynamic mechanism. Comput. Appl. Math. Julio B. Clempner
2021	J	`jnl`	A Proximal/Gradient Approach for Computing the Nash Equilibrium in Controllable Markov Games. J. Optim. Theory Appl. Julio B. Clempner
2021	J	`jnl`	Robust integral sliding mode controller for optimisation of measurable cost functions with constraints. Int. J. Control Cesar U. Solis, Julio B. Clempner, Alexander S. Poznyak
2021	J	`jnl`	Solving the cost to go with time penalization using the Lagrange optimization approach. Soft Comput. Julio B. Clempner
2020	J	`jnl`	A nucleus for Bayesian Partially Observable Markov Games: Joint observer and mechanism design. Eng. Appl. Artif. Intell. Julio B. Clempner, Alexander S. Poznyak
2020	J	`jnl`	Computing the Nash Bargaining Solution for Multiple Players in Discrete-Time Markov Chains Games. Cybern. Syst. Kristal K. Trejo, Julio B. Clempner, Alexander S. Poznyak
2020	J	`jnl`	Finding the Strong Nash Equilibrium: Computation, Existence and Characterization for Markov Games. J. Optim. Theory Appl. Julio B. Clempner, Alexander S. Poznyak
2020	J	`jnl`	Repeated Stackelberg security games: Learning with incomplete state information. Reliab. Eng. Syst. Saf. Guillermo Alcantara-Jiménez, Julio B. Clempner
2020	J	`jnl`	Shaping Emotions in Negotiation: a Nash Bargaining Solution. Cogn. Comput. Julio B. Clempner
2020	J	`jnl`	Traffic-signal control reinforcement learning approach for continuous-time Markov games. Eng. Appl. Artif. Intell. Román Aragon-Gómez, Julio B. Clempner
2019	J	`jnl`	A Stackelberg security Markov game based on partial information for strategic decision making against unexpected attacks. Eng. Appl. Artif. Intell. Silvia E. Albarran, Julio B. Clempner
2019	J	`jnl`	A team formation method based on a Markov chains games approach. Cybern. Syst. Julio B. Clempner
2019	J	`jnl`	Continuous-time gradient-like descent algorithm for constrained convex unknown functions: Penalty method application. J. Comput. Appl. Math. Cesar U. Solis, Julio B. Clempner, Alexander S. Poznyak
2019	J	`jnl`	Continuous-time mean variance portfolio with transaction costs: a proximal approach involving time penalization. Int. J. Gen. Syst. Mauricio García-Galicia, Alin A. Carsteanu, Julio B. Clempner
2019	J	`jnl`	Continuous-time reinforcement learning approach for portfolio management with time penalization. Expert Syst. Appl. Mauricio García-Galicia, Alin A. Carsteanu, Julio B. Clempner
2019	J	`jnl`	Controller exploitation-exploration reinforcement learning architecture for computing near-optimal policies. Soft Comput. Erick Asiain, Julio B. Clempner, Alexander S. Poznyak
2019	—	`conf`	DC Motor Control based on Robust run-time Optimization Algorithm. CCE Cesar U. Solis, Julio B. Clempner, Alexander S. Poznyak
2019	J	`jnl`	Handling a Kullback-Leibler divergence random walk for scheduling effective patrol strategies in Stackelberg security games. Kybernetika César U. S. Solis, Julio B. Clempner, Alexander S. Poznyak
2019	J	`jnl`	Observer and control design in partially observable finite Markov chains. Autom. Julio B. Clempner, Alexander S. Poznyak
2019	J	`jnl`	Robust Extremum Seeking for a Second Order Uncertain Plant Using a Sliding Mode Controller. Int. J. Appl. Math. Comput. Sci. Cesar U. Solis, Julio B. Clempner, Alexander S. Poznyak
2019	J	`jnl`	Solving traffic queues at controlled-signalized intersections in continuous-time Markov games. Math. Comput. Simul. Rodrigo Castillo González, Julio B. Clempner, Alexander S. Poznyak
2018	J	`jnl`	A Reinforcement Learning Approach for Solving the Mean Variance Customer Portfolio in Partially Observable Models. Int. J. Artif. Intell. Tools Erick Asiain, Julio B. Clempner, Alexander S. Poznyak
2018	J	`jnl`	A Tikhonov regularized penalty function approach for solving polylinear programming problems. J. Comput. Appl. Math. Julio B. Clempner, Alexander S. Poznyak
2018	J	`jnl`	A continuous-time Markov Stackelberg security game approach for reasoning about real patrol strategies. Int. J. Control Julio B. Clempner
2018	J	`jnl`	Adapting attackers and defenders patrolling strategies: A reinforcement learning approach for Stackelberg security games. J. Comput. Syst. Sci. Kristal K. Trejo, Julio B. Clempner, Alexander S. Poznyak
2018	J	`jnl`	Computing multiobjective Markov chains handled by the extraproximal method. Ann. Oper. Res. Julio B. Clempner
2018	—	`conf`	Constrained Extremum Seeking with Function Measurements Disturbed by Stochastic Noise. CCE Cesar U. Solis, Julio B. Clempner, Alexander S. Poznyak
2018	—	`conf`	Continuous-Time Extremum Seeking with Function Measurements Disturbed by Stochastic Noise: A Synchronous Detection Approach. CCE Cesar U. Solis, Julio B. Clempner, Alexander S. Poznyak
2018	J	`jnl`	Measuring the emotional state among interacting agents: A game theory approach using reinforcement learning. Expert Syst. Appl. Mireya Salgado, Julio B. Clempner
2018	J	`jnl`	On Lyapunov Game Theory Equilibrium: Static and Dynamic Approaches. IGTR Julio B. Clempner
2018	J	`jnl`	Solving Stackelberg security Markov games employing the bargaining Nash approach: Convergence analysis. Comput. Secur. Daniel Guerrero, Alin A. Carsteanu, Julio B. Clempner
2018	J	`jnl`	Strategic Manipulation Approach for Solving Negotiated Transfer Pricing Problem. J. Optim. Theory Appl. Julio B. Clempner
2018	J	`jnl`	Using the Manhattan distance for computing the multiobjective Markov chains problem. Int. J. Comput. Math. Julio B. Clempner, Alexander S. Poznyak
2017	J	`jnl`	A Game Theory Model for Manipulation Based on Machiavellianism: Moral and Ethical Behavior. J. Artif. Soc. Soc. Simul. Julio B. Clempner
2017	—	`conf`	An iterative method for solving stackelberg security games: A Markov games approach. CCE Daniel Guerrero, Alin A. Carsteanu, Rocio Huerta, Julio B. Clempner
2017	J	`jnl`	Classical workflow nets and workflow nets with reset arcs: using Lyapunov stability for soundness verification. J. Exp. Theor. Artif. Intell. Julio B. Clempner
2017	J	`jnl`	Fast Terminal Sliding-Mode Control With an Integral Filter Applied to a Van Der Pol Oscillator. IEEE Trans. Ind. Electron. Cesar U. Solis, Julio B. Clempner, Alexander S. Poznyak
2017	J	`jnl`	Multiobjective Markov chains optimization problem with strong Pareto frontier: Principles of decision making. Expert Syst. Appl. Julio B. Clempner, Alexander S. Poznyak
2017	J	`jnl`	Negotiating transfer pricing using the Nash bargaining solution. Int. J. Appl. Math. Comput. Sci. Julio B. Clempner, Alexander S. Poznyak
2017	J	`jnl`	Using the extraproximal method for computing the shortest-path mixed Lyapunov equilibrium in Stackelberg security games. Math. Comput. Simul. Julio B. Clempner, Alexander S. Poznyak
2016	—	`conf`	Adapting strategies to dynamic environments in controllable stackelberg security games. CDC Kristal K. Trejo, Julio B. Clempner, Alexander S. Poznyak
2016	J	`jnl`	An optimal strong equilibrium solution for cooperative multi-leader-follower Stackelberg Markov chains games. Kybernetika Kristal K. Trejo, Julio B. Clempner, Alexander S. Poznyak
2016	J	`jnl`	Conforming coalitions in Markov Stackelberg security games: Setting max cooperative defenders vs. non-cooperative attackers. Appl. Soft Comput. Julio B. Clempner, Alexander S. Poznyak
2016	J	`jnl`	Convergence analysis for pure stationary strategies in repeated potential games: Nash, Lyapunov and correlated equilibria. Expert Syst. Appl. Julio B. Clempner, Alexander S. Poznyak
2016	J	`jnl`	Modeling Multileader-Follower Noncooperative Stackelberg Games. Cybern. Syst. Cesar U. Solis, Julio B. Clempner, Alexander S. Poznyak
2016	J	`jnl`	Necessary and sufficient Karush-Kuhn-Tucker conditions for multiobjective Markov chains optimality. Autom. Julio B. Clempner
2016	J	`jnl`	Solving the Pareto front for multiobjective Markov chains using the minimum Euclidean distance gradient-based optimization method. Math. Comput. Simul. Julio B. Clempner, Alexander S. Poznyak
2015	J	`jnl`	A Stackelberg security game with random strategies based on the extraproximal theoretic approach. Eng. Appl. Artif. Intell. Kristal K. Trejo, Julio B. Clempner, Alexander S. Poznyak
2015	J	`jnl`	A priori-knowledge/actor-critic reinforcement learning architecture for computing the mean-variance customer portfolio: The case of bank marketing campaigns. Eng. Appl. Artif. Intell. Emma M. Sánchez, Julio B. Clempner, Alexander S. Poznyak
2015	—	`conf`	Computing the Lp-strong nash equilibrium looking for cooperative stability in multiple agents markov games. CCE Kristal K. Trejo, Julio B. Clempner, Alexander S. Poznyak
2015	J	`jnl`	Computing the Stackelberg/Nash Equilibria Using the Extraproximal Method: Convergence Analysis and Implementation Details for Markov Chains Games. Int. J. Appl. Math. Comput. Sci. Kristal K. Trejo, Julio B. Clempner, Alexander S. Poznyak
2015	J	`jnl`	Computing the strong Nash equilibrium for Markov chains games. Appl. Math. Comput. Julio B. Clempner, Alexander S. Poznyak
2015	J	`jnl`	Modeling the multi-traffic signal-control synchronization: A Markov chains game theory approach. Eng. Appl. Artif. Intell. Julio B. Clempner, Alexander S. Poznyak
2015	J	`jnl`	Setting Cournot Versus Lyapunov Games Stability Conditions and Equilibrium Point Properties. IGTR Julio B. Clempner
2015	J	`jnl`	Solving the mean-variance customer portfolio in Markov chains using iterated quadratic/Lagrange programming: A credit-card customer limits approach. Expert Syst. Appl. Emma M. Sánchez, Julio B. Clempner, Alexander S. Poznyak
2015	—	`conf`	Solving the multi-traffic signal-control problem for a class of continuous-time markov games. CCE Rodrigo G. Castillo, Julio B. Clempner, Alexander S. Poznyak
2015	J	`jnl`	Stackelberg security games: Computing the shortest-path equilibrium. Expert Syst. Appl. Julio B. Clempner, Alexander S. Poznyak
2014	J	`jnl`	An analytical method for well-formed workflow/Petri net verification of classical soundness. Int. J. Appl. Math. Comput. Sci. Julio B. Clempner
2014	J	`jnl`	Verifying soundness of business processes: A decision process Petri nets approach. Expert Syst. Appl. Julio B. Clempner
2013	—	`conf`	Analysis of best-reply strategies in repeated finite Markov chains games. CDC Julio B. Clempner, Alexander S. Poznyak
2011	J	`jnl`	Convergence method, properties and computational complexity for Lyapunov games. Int. J. Appl. Math. Comput. Sci. Julio B. Clempner, Alexander S. Poznyak
2010	J	`jnl`	A Pattern Model for Assessing Work Competencies Using Petri Nets. Int. J. Comput. Sci. Appl. Julio B. Clempner
2010	J	`jnl`	A hierarchical decomposition of decision process Petri nets for modeling complex systems. Int. J. Appl. Math. Comput. Sci. Julio B. Clempner
2009	J	`jnl`	A Shortest-Path Lyapunov Approach for Forward Decision Processes. Int. J. Comput. Games Technol. Julio B. Clempner
2006	J	`jnl`	Towards the Stability Analysis of Principles of Powe Conduct. Res. Comput. Sci. Alin A. Carsteanu, José de J. Medel, Julio B. Clempner
2005	J	`jnl`	Decision Process Petri Nets: Analysis and Optimization. Neural Parallel Sci. Comput. Zvi Retchkiman Königsberg, Julio B. Clempner