Julio B. Clempner
Orcid: 0000-0002-5918-4671
According to our database1,
Julio B. Clempner
authored at least 75 papers
between 2005 and 2024.
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Bibliography
2024
Optimization and Games for Controllable Markov Chains - Numerical Methods with Application to Finance and Engineering
504, Springer, ISBN: 978-3-031-43574-4, 2024
2023
A Bayesian reinforcement learning approach in markov games for computing near-optimal policies.
Ann. Math. Artif. Intell., October, 2023
Eng. Appl. Artif. Intell., May, 2023
A tri-level approach for computing Stackelberg Markov game equilibrium: Computational analysis.
J. Comput. Sci., April, 2023
2022
Comput. Appl. Math., September, 2022
Algorithmic-gradient approach for the Price of Anarchy and Stability for incomplete information.
J. Comput. Sci., 2022
Reveling misleading information for defenders and attackers in repeated Stackelberg Security Games.
Eng. Appl. Artif. Intell., 2022
Ann. Math. Artif. Intell., 2022
2021
Solving the cost to go with time penalization using the Lagrange optimization approach.
Soft Comput., 2021
A Proximal/Gradient Approach for Computing the Nash Equilibrium in Controllable Markov Games.
J. Optim. Theory Appl., 2021
Robust integral sliding mode controller for optimisation of measurable cost functions with constraints.
Int. J. Control, 2021
Comput. Appl. Math., 2021
2020
Reliab. Eng. Syst. Saf., 2020
Finding the Strong Nash Equilibrium: Computation, Existence and Characterization for Markov Games.
J. Optim. Theory Appl., 2020
A nucleus for Bayesian Partially Observable Markov Games: Joint observer and mechanism design.
Eng. Appl. Artif. Intell., 2020
Traffic-signal control reinforcement learning approach for continuous-time Markov games.
Eng. Appl. Artif. Intell., 2020
Computing the Nash Bargaining Solution for Multiple Players in Discrete-Time Markov Chains Games.
Cybern. Syst., 2020
2019
Controller exploitation-exploration reinforcement learning architecture for computing near-optimal policies.
Soft Comput., 2019
Solving traffic queues at controlled-signalized intersections in continuous-time Markov games.
Math. Comput. Simul., 2019
Handling a Kullback-Leibler divergence random walk for scheduling effective patrol strategies in Stackelberg security games.
Kybernetika, 2019
Continuous-time gradient-like descent algorithm for constrained convex unknown functions: Penalty method application.
J. Comput. Appl. Math., 2019
Continuous-time mean variance portfolio with transaction costs: a proximal approach involving time penalization.
Int. J. Gen. Syst., 2019
Continuous-time reinforcement learning approach for portfolio management with time penalization.
Expert Syst. Appl., 2019
A Stackelberg security Markov game based on partial information for strategic decision making against unexpected attacks.
Eng. Appl. Artif. Intell., 2019
Autom., 2019
Robust Extremum Seeking for a Second Order Uncertain Plant Using a Sliding Mode Controller.
Int. J. Appl. Math. Comput. Sci., 2019
Proceedings of the 16th International Conference on Electrical Engineering, 2019
2018
J. Optim. Theory Appl., 2018
Adapting attackers and defenders patrolling strategies: A reinforcement learning approach for Stackelberg security games.
J. Comput. Syst. Sci., 2018
A Tikhonov regularized penalty function approach for solving polylinear programming problems.
J. Comput. Appl. Math., 2018
A continuous-time Markov Stackelberg security game approach for reasoning about real patrol strategies.
Int. J. Control, 2018
Int. J. Comput. Math., 2018
A Reinforcement Learning Approach for Solving the Mean Variance Customer Portfolio in Partially Observable Models.
Int. J. Artif. Intell. Tools, 2018
Measuring the emotional state among interacting agents: A game theory approach using reinforcement learning.
Expert Syst. Appl., 2018
Solving Stackelberg security Markov games employing the bargaining Nash approach: Convergence analysis.
Comput. Secur., 2018
Ann. Oper. Res., 2018
Constrained Extremum Seeking with Function Measurements Disturbed by Stochastic Noise.
Proceedings of the 15th International Conference on Electrical Engineering, 2018
Continuous-Time Extremum Seeking with Function Measurements Disturbed by Stochastic Noise: A Synchronous Detection Approach.
Proceedings of the 15th International Conference on Electrical Engineering, 2018
2017
Fast Terminal Sliding-Mode Control With an Integral Filter Applied to a Van Der Pol Oscillator.
IEEE Trans. Ind. Electron., 2017
Using the extraproximal method for computing the shortest-path mixed Lyapunov equilibrium in Stackelberg security games.
Math. Comput. Simul., 2017
Classical workflow nets and workflow nets with reset arcs: using Lyapunov stability for soundness verification.
J. Exp. Theor. Artif. Intell., 2017
A Game Theory Model for Manipulation Based on Machiavellianism: Moral and Ethical Behavior.
J. Artif. Soc. Soc. Simul., 2017
Multiobjective Markov chains optimization problem with strong Pareto frontier: Principles of decision making.
Expert Syst. Appl., 2017
Int. J. Appl. Math. Comput. Sci., 2017
Proceedings of the 14th International Conference on Electrical Engineering, 2017
2016
Solving the Pareto front for multiobjective Markov chains using the minimum Euclidean distance gradient-based optimization method.
Math. Comput. Simul., 2016
An optimal strong equilibrium solution for cooperative multi-leader-follower Stackelberg Markov chains games.
Kybernetika, 2016
Convergence analysis for pure stationary strategies in repeated potential games: Nash, Lyapunov and correlated equilibria.
Expert Syst. Appl., 2016
Necessary and sufficient Karush-Kuhn-Tucker conditions for multiobjective Markov chains optimality.
Autom., 2016
Conforming coalitions in Markov Stackelberg security games: Setting max cooperative defenders vs. non-cooperative attackers.
Appl. Soft Comput., 2016
Adapting strategies to dynamic environments in controllable stackelberg security games.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2015
Setting Cournot Versus Lyapunov Games Stability Conditions and Equilibrium Point Properties.
IGTR, 2015
Solving the mean-variance customer portfolio in Markov chains using iterated quadratic/Lagrange programming: A credit-card customer limits approach.
Expert Syst. Appl., 2015
Expert Syst. Appl., 2015
A Stackelberg security game with random strategies based on the extraproximal theoretic approach.
Eng. Appl. Artif. Intell., 2015
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., 2015
Modeling the multi-traffic signal-control synchronization: A Markov chains game theory approach.
Eng. Appl. Artif. Intell., 2015
Computing the Stackelberg/Nash Equilibria Using the Extraproximal Method: Convergence Analysis and Implementation Details for Markov Chains Games.
Int. J. Appl. Math. Comput. Sci., 2015
Appl. Math. Comput., 2015
Computing the Lp-strong nash equilibrium looking for cooperative stability in multiple agents markov games.
Proceedings of the 12th International Conference on Electrical Engineering, 2015
Solving the multi-traffic signal-control problem for a class of continuous-time markov games.
Proceedings of the 12th International Conference on Electrical Engineering, 2015
2014
Expert Syst. Appl., 2014
An analytical method for well-formed workflow/Petri net verification of classical soundness.
Int. J. Appl. Math. Comput. Sci., 2014
2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
2011
Int. J. Appl. Math. Comput. Sci., 2011
2010
Int. J. Comput. Sci. Appl., 2010
A hierarchical decomposition of decision process Petri nets for modeling complex systems.
Int. J. Appl. Math. Comput. Sci., 2010
2009
Int. J. Comput. Games Technol., 2009
2005
Decision Process Petri Nets: Analysis and Optimization.
Neural Parallel Sci. Comput., 2005