Ernesto C. Martínez

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 17

Top Topics

Reinforcement Learning

Top Venues

Expert Syst. Appl.

Inteligencia Artif.

Adv. Eng. Informatics

Publications

Federico Mione, Lucas Kaspersetz, Martin F. Luna, Judit Aizpuru, Randolf Scholz, Maxim Borisyak, Annina Karolin Kemmer, Marie-Therese Schermeyer, Ernesto C. Martínez, Peter Neubauer, Mariano Nicolás Cruz Bournazou
A workflow management system for reproducible and interoperable high-throughput self-driving experiments. Comput. Chem. Eng. 187 (2024)
Dan Ezequiel Kröhling, Omar Chiotti, Ernesto C. Martínez
Learning and adaptation of strategies in automated negotiations between context-aware agents. Inteligencia Artif. 27 (73) (2024)
Dan Ezequiel Kröhling, Omar Chiotti, Ernesto C. Martínez
Artificial Theory of Mind in contextual automated negotiations within peer-to-peer markets. Eng. Appl. Artif. Intell. 120 (2023)
Dan Ezequiel Kröhling, Federico Mione, Federico Hernández, Ernesto C. Martínez
A peer-to-peer market for utility exchanges in Eco-Industrial Parks using automated negotiations. Expert Syst. Appl. 191 (2022)
Dan Ezequiel Kröhling, Omar Chiotti, Ernesto C. Martínez
A context-aware approach to automated negotiation using reinforcement learning. Adv. Eng. Informatics 47 (2021)
Juan Cruz Barsce, Jorge A. Palombarini, Ernesto C. Martínez
Automatic tuning of hyper-parameters of reinforcement learning algorithms using Bayesian optimization with behavioral cloning. CoRR (2021)
Laura Tosselli, Verónica Bogado, Ernesto C. Martínez
A repeated-negotiation game approach to distributed (re)scheduling of multiple projects using decoupled learning. Simul. Model. Pract. Theory 98 (2020)
Dan Ezequiel Kröhling, Omar Chiotti, Ernesto C. Martínez
The importance of context-dependent learning in negotiation agents. Inteligencia Artif. 22 (63) (2019)
Juan Cruz Barsce, Jorge A. Palombarini, Ernesto C. Martínez
A Hierarchical Two-tier Approach to Hyper-parameter Optimization in Reinforcement Learning. CoRR (2019)
Laura Tosselli, Verónica Bogado, Ernesto C. Martínez
Multi-agent Learning by Trial and Error for Resource Leveling during Multi-Project (Re)scheduling. J. Comput. Sci. Technol. 18 (02) (2018)
Luis Omar Ávila, Mariano De Paula, Ernesto C. Martínez, Marcelo Luis Errecalde
Robust insulin estimation under glycemic variability using Bayesian filtering and Gaussian process models. Biomed. Signal Process. Control. 42 (2018)
Juan Cruz Barsce, Jorge A. Palombarini, Ernesto C. Martínez
Towards Autonomous Reinforcement Learning: Automatic Setting of Hyper-parameters using Bayesian Optimization. CoRR (2018)
Jorge A. Palombarini, Juan Cruz Barsce, Ernesto C. Martínez
Generating Rescheduling Knowledge using Reinforcement Learning in a Cognitive Architecture. CoRR (2018)
Juan Cruz Barsce, Jorge A. Palombarini, Ernesto C. Martínez
A Cognitive Approach to Real-time Rescheduling using SOAR-RL. CoRR (2018)
Juan Cruz Barsce, Jorge A. Palombarini, Ernesto C. Martínez
Towards Autonomous Reinforcement Learning: Automatic Setting of Hyper-parameters using Bayesian Optimization. CLEI Electron. J. 21 (2) (2018)
Juan Cruz Barsce, Jorge Palombarini, Ernesto C. Martínez
Towards autonomous reinforcement learning: Automatic setting of hyper-parameters using Bayesian optimization. CLEI (2017)
Martin F. Luna, Ernesto C. Martínez
Iterative modeling and optimization of biomass production using experimental feedback. Comput. Chem. Eng. 104 (2017)
Luis Omar Ávila, Ernesto C. Martínez
An active inference approach to on-line agent monitoring in safety-critical systems. Adv. Eng. Informatics 29 (4) (2015)
Mariano De Paula, Luis Omar Ávila, Ernesto C. Martínez
Controlling blood glucose variability under uncertainty using reinforcement learning and Gaussian processes. Appl. Soft Comput. 35 (2015)
Mariano De Paula, Gerardo G. Acosta, Ernesto C. Martínez
On-line policy learning and adaptation for real-time personalization of an artificial pancreas. Expert Syst. Appl. 42 (4) (2015)
Luis Omar Ávila, Ernesto C. Martínez
Behavior monitoring under uncertainty using Bayesian surprise and optimal action selection. Expert Syst. Appl. 41 (14) (2014)
Ernesto C. Martínez, Mariano D. Cristaldi, Ricardo J. Grau
Dynamic optimization of bioreactors using probabilistic tendency models and Bayesian active learning. Comput. Chem. Eng. 49 (2013)
Jorge Palombarini, Ernesto C. Martínez
SmartGantt - An intelligent system for real time rescheduling based on relational reinforcement learning. Expert Syst. Appl. 39 (11) (2012)
Jorge Palombarini, Ernesto C. Martínez
SmartGantt - An interactive system for generating and updating rescheduling knowledge using relational abstractions. Comput. Chem. Eng. 47 (2012)
Jorge Palombarini, Ernesto C. Martínez
Task Rescheduling using Relational Reinforcement Learning. Inteligencia Artif. 15 (50) (2012)
Rachid A. Ghraizi, Ernesto C. Martínez, César de Prada, Francisco Cifuentes, José Luis Martínez del Pozo
Performance monitoring of industrial controllers based on the predictability of controller behavior. Comput. Chem. Eng. 31 (5-6) (2007)