Julio B. Clempner

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 67

Top Topics

Bargaining Solution

Reinforcement Learning

Partially Observable

Top Venues

Eng. Appl. Artif. Intell.

Expert Syst. Appl.

Int. J. Appl. Math. Comput. Sci.

Publications

Julio B. Clempner
Revealing perceived individuals' self-interest. J. Oper. Res. Soc. 75 (2) (2024)
Julio B. Clempner
Computing fortification games in a tri-level Stackelberg Markov chains approach. Eng. Appl. Artif. Intell. 121 (2023)
Julio B. Clempner
A tri-level approach for computing Stackelberg Markov game equilibrium: Computational analysis. J. Comput. Sci. 68 (2023)
Julio B. Clempner, Alexander S. Poznyak
Computing a mechanism for a Bayesian and partially observable Markov approach. Int. J. Appl. Math. Comput. Sci. 33 (3) (2023)
Julio B. Clempner
A Bayesian reinforcement learning approach in markov games for computing near-optimal policies. Ann. Math. Artif. Intell. 91 (5) (2023)
Julio B. Clempner
Algorithmic-gradient approach for the Price of Anarchy and Stability for incomplete information. J. Comput. Sci. 60 (2022)
Julio B. Clempner
A Lyapunov approach for stable reinforcement learning. Comput. Appl. Math. 41 (6) (2022)
Julio B. Clempner
A Manipulation Game Based on Machiavellian Strategies. IGTR 24 (2) (2022)
Julio B. Clempner
Reveling misleading information for defenders and attackers in repeated Stackelberg Security Games. Eng. Appl. Artif. Intell. 110 (2022)
Julio B. Clempner
Learning machiavellian strategies for manipulation in Stackelberg security games. Ann. Math. Artif. Intell. 90 (4) (2022)
Julio B. Clempner
Solving the cost to go with time penalization using the Lagrange optimization approach. Soft Comput. 25 (6) (2021)
Julio B. Clempner
A Markovian Stackelberg game approach for computing an optimal dynamic mechanism. Comput. Appl. Math. 40 (6) (2021)
Cesar U. Solis, Julio B. Clempner, Alexander S. Poznyak
Robust integral sliding mode controller for optimisation of measurable cost functions with constraints. Int. J. Control 94 (6) (2021)
Julio B. Clempner
A Proximal/Gradient Approach for Computing the Nash Equilibrium in Controllable Markov Games. J. Optim. Theory Appl. 188 (3) (2021)
Julio B. Clempner, Alexander S. Poznyak
Finding the Strong Nash Equilibrium: Computation, Existence and Characterization for Markov Games. J. Optim. Theory Appl. 186 (3) (2020)
Kristal K. Trejo, Julio B. Clempner, Alexander S. Poznyak
Computing the Nash Bargaining Solution for Multiple Players in Discrete-Time Markov Chains Games. Cybern. Syst. 51 (1) (2020)
Julio B. Clempner, Alexander S. Poznyak
A nucleus for Bayesian Partially Observable Markov Games: Joint observer and mechanism design. Eng. Appl. Artif. Intell. 95 (2020)
Román Aragon-Gómez, Julio B. Clempner
Traffic-signal control reinforcement learning approach for continuous-time Markov games. Eng. Appl. Artif. Intell. 89 (2020)
Julio B. Clempner
Shaping Emotions in Negotiation: a Nash Bargaining Solution. Cogn. Comput. 12 (4) (2020)
Guillermo Alcantara-Jiménez, Julio B. Clempner
Repeated Stackelberg security games: Learning with incomplete state information. Reliab. Eng. Syst. Saf. 195 (2020)
Mauricio García-Galicia, Alin A. Carsteanu, Julio B. Clempner
Continuous-time mean variance portfolio with transaction costs: a proximal approach involving time penalization. Int. J. Gen. Syst. 48 (2) (2019)
Julio B. Clempner
A team formation method based on a Markov chains games approach. Cybern. Syst. 50 (5) (2019)
Julio B. Clempner, Alexander S. Poznyak
Observer and control design in partially observable finite Markov chains. Autom. 110 (2019)
Erick Asiain, Julio B. Clempner, Alexander S. Poznyak
Controller exploitation-exploration reinforcement learning architecture for computing near-optimal policies. Soft Comput. 23 (11) (2019)
Rodrigo Castillo González, Julio B. Clempner, Alexander S. Poznyak
Solving traffic queues at controlled-signalized intersections in continuous-time Markov games. Math. Comput. Simul. 166 (2019)
Cesar U. Solis, Julio B. Clempner, Alexander S. Poznyak
DC Motor Control based on Robust run-time Optimization Algorithm. CCE (2019)
Silvia E. Albarran, Julio B. Clempner
A Stackelberg security Markov game based on partial information for strategic decision making against unexpected attacks. Eng. Appl. Artif. Intell. 81 (2019)
Cesar U. Solis, Julio B. Clempner, Alexander S. Poznyak
Continuous-time gradient-like descent algorithm for constrained convex unknown functions: Penalty method application. J. Comput. Appl. Math. 355 (2019)
Cesar U. Solis, Julio B. Clempner, Alexander S. Poznyak
Robust Extremum Seeking for a Second Order Uncertain Plant Using a Sliding Mode Controller. Int. J. Appl. Math. Comput. Sci. 29 (4) (2019)
Mauricio García-Galicia, Alin A. Carsteanu, Julio B. Clempner
Continuous-time reinforcement learning approach for portfolio management with time penalization. Expert Syst. Appl. 129 (2019)
César U. S. Solis, Julio B. Clempner, Alexander S. Poznyak
Handling a Kullback-Leibler divergence random walk for scheduling effective patrol strategies in Stackelberg security games. Kybernetika 55 (4) (2019)
Julio B. Clempner
Computing multiobjective Markov chains handled by the extraproximal method. Ann. Oper. Res. 271 (2) (2018)
Kristal K. Trejo, Julio B. Clempner, Alexander S. Poznyak
Adapting attackers and defenders patrolling strategies: A reinforcement learning approach for Stackelberg security games. J. Comput. Syst. Sci. 95 (2018)
Julio B. Clempner, Alexander S. Poznyak
Using the Manhattan distance for computing the multiobjective Markov chains problem. Int. J. Comput. Math. 95 (11) (2018)
Mireya Salgado, Julio B. Clempner
Measuring the emotional state among interacting agents: A game theory approach using reinforcement learning. Expert Syst. Appl. 97 (2018)
Julio B. Clempner
Strategic Manipulation Approach for Solving Negotiated Transfer Pricing Problem. J. Optim. Theory Appl. 178 (1) (2018)
Cesar U. Solis, Julio B. Clempner, Alexander S. Poznyak
Continuous-Time Extremum Seeking with Function Measurements Disturbed by Stochastic Noise: A Synchronous Detection Approach. CCE (2018)
Daniel Guerrero, Alin A. Carsteanu, Julio B. Clempner
Solving Stackelberg security Markov games employing the bargaining Nash approach: Convergence analysis. Comput. Secur. 74 (2018)
Julio B. Clempner, Alexander S. Poznyak
A Tikhonov regularized penalty function approach for solving polylinear programming problems. J. Comput. Appl. Math. 328 (2018)
Julio B. Clempner
On Lyapunov Game Theory Equilibrium: Static and Dynamic Approaches. IGTR 20 (2) (2018)
Erick Asiain, Julio B. Clempner, Alexander S. Poznyak
A Reinforcement Learning Approach for Solving the Mean Variance Customer Portfolio in Partially Observable Models. Int. J. Artif. Intell. Tools 27 (8) (2018)
Cesar U. Solis, Julio B. Clempner, Alexander S. Poznyak
Constrained Extremum Seeking with Function Measurements Disturbed by Stochastic Noise. CCE (2018)
Julio B. Clempner
A continuous-time Markov Stackelberg security game approach for reasoning about real patrol strategies. Int. J. Control 91 (11) (2018)
Julio B. Clempner
Classical workflow nets and workflow nets with reset arcs: using Lyapunov stability for soundness verification. J. Exp. Theor. Artif. Intell. 29 (1) (2017)
Cesar U. Solis, Julio B. Clempner, Alexander S. Poznyak
Fast Terminal Sliding-Mode Control With an Integral Filter Applied to a Van Der Pol Oscillator. IEEE Trans. Ind. Electron. 64 (7) (2017)
Julio B. Clempner
A Game Theory Model for Manipulation Based on Machiavellianism: Moral and Ethical Behavior. J. Artif. Soc. Soc. Simul. 20 (2) (2017)
Julio B. Clempner, Alexander S. Poznyak
Negotiating transfer pricing using the Nash bargaining solution. Int. J. Appl. Math. Comput. Sci. 27 (4) (2017)
Julio B. Clempner, Alexander S. Poznyak
Using the extraproximal method for computing the shortest-path mixed Lyapunov equilibrium in Stackelberg security games. Math. Comput. Simul. 138 (2017)
Daniel Guerrero, Alin A. Carsteanu, Rocio Huerta, Julio B. Clempner
An iterative method for solving stackelberg security games: A Markov games approach. CCE (2017)
Julio B. Clempner, Alexander S. Poznyak
Multiobjective Markov chains optimization problem with strong Pareto frontier: Principles of decision making. Expert Syst. Appl. 68 (2017)
Cesar U. Solis, Julio B. Clempner, Alexander S. Poznyak
Modeling Multileader-Follower Noncooperative Stackelberg Games. Cybern. Syst. 47 (8) (2016)
Julio B. Clempner, Alexander S. Poznyak
Convergence analysis for pure stationary strategies in repeated potential games: Nash, Lyapunov and correlated equilibria. Expert Syst. Appl. 46 (2016)
Julio B. Clempner
Necessary and sufficient Karush-Kuhn-Tucker conditions for multiobjective Markov chains optimality. Autom. 71 (2016)
Kristal K. Trejo, Julio B. Clempner, Alexander S. Poznyak
An optimal strong equilibrium solution for cooperative multi-leader-follower Stackelberg Markov chains games. Kybernetika 52 (2) (2016)
Julio B. Clempner, Alexander S. Poznyak
Conforming coalitions in Markov Stackelberg security games: Setting max cooperative defenders vs. non-cooperative attackers. Appl. Soft Comput. 47 (2016)
Kristal K. Trejo, Julio B. Clempner, Alexander S. Poznyak
Adapting strategies to dynamic environments in controllable stackelberg security games. CDC (2016)
Julio B. Clempner, Alexander S. Poznyak
Solving the Pareto front for multiobjective Markov chains using the minimum Euclidean distance gradient-based optimization method. Math. Comput. Simul. 119 (2016)
Kristal K. Trejo, Julio B. Clempner, Alexander S. Poznyak
Computing the Stackelberg/Nash Equilibria Using the Extraproximal Method: Convergence Analysis and Implementation Details for Markov Chains Games. Int. J. Appl. Math. Comput. Sci. 25 (2) (2015)
Julio B. Clempner, Alexander S. Poznyak
Computing the strong Nash equilibrium for Markov chains games. Appl. Math. Comput. 265 (2015)
Julio B. Clempner, Alexander S. Poznyak
Modeling the multi-traffic signal-control synchronization: A Markov chains game theory approach. Eng. Appl. Artif. Intell. 43 (2015)
Emma M. Sánchez, Julio B. Clempner, Alexander S. Poznyak
Solving the mean-variance customer portfolio in Markov chains using iterated quadratic/Lagrange programming: A credit-card customer limits approach. Expert Syst. Appl. 42 (12) (2015)
Kristal K. Trejo, Julio B. Clempner, Alexander S. Poznyak
Computing the Lp-strong nash equilibrium looking for cooperative stability in multiple agents markov games. CCE (2015)
Julio B. Clempner, Alexander S. Poznyak
Stackelberg security games: Computing the shortest-path equilibrium. Expert Syst. Appl. 42 (8) (2015)
Julio B. Clempner
Setting Cournot Versus Lyapunov Games Stability Conditions and Equilibrium Point Properties. IGTR 17 (4) (2015)
Emma M. Sánchez, Julio B. Clempner, Alexander S. Poznyak
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. 46 (2015)
Kristal K. Trejo, Julio B. Clempner, Alexander S. Poznyak
A Stackelberg security game with random strategies based on the extraproximal theoretic approach. Eng. Appl. Artif. Intell. 37 (2015)
Rodrigo G. Castillo, Julio B. Clempner, Alexander S. Poznyak
Solving the multi-traffic signal-control problem for a class of continuous-time markov games. CCE (2015)
Julio B. Clempner
An analytical method for well-formed workflow/Petri net verification of classical soundness. Int. J. Appl. Math. Comput. Sci. 24 (4) (2014)
Julio B. Clempner
Verifying soundness of business processes: A decision process Petri nets approach. Expert Syst. Appl. 41 (11) (2014)
Julio B. Clempner, Alexander S. Poznyak
Analysis of best-reply strategies in repeated finite Markov chains games. CDC (2013)
Julio B. Clempner, Alexander S. Poznyak
Convergence method, properties and computational complexity for Lyapunov games. Int. J. Appl. Math. Comput. Sci. 21 (2) (2011)
Julio B. Clempner
A Pattern Model for Assessing Work Competencies Using Petri Nets. Int. J. Comput. Sci. Appl. 7 (4) (2010)
Julio B. Clempner
A hierarchical decomposition of decision process Petri nets for modeling complex systems. Int. J. Appl. Math. Comput. Sci. 20 (2) (2010)
Julio B. Clempner
A Shortest-Path Lyapunov Approach for Forward Decision Processes. Int. J. Comput. Games Technol. 2009 (2009)
Zvi Retchkiman Königsberg, Julio B. Clempner
Decision Process Petri Nets: Analysis and Optimization. Neural Parallel Sci. Comput. 13 (2005)