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Ernesto C. Martínez
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Journal Articles
- 2024
- [j22]Dan Ezequiel Kröhling, Omar Chiotti, Ernesto C. Martínez:
Learning and adaptation of strategies in automated negotiations between context-aware agents. Inteligencia Artif. 27(73): 159-162 (2024) - [j21]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: 108720 (2024) - 2023
- [j20]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: 105887 (2023) - 2022
- [j19]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: 116211 (2022) - 2021
- [j18]Dan Ezequiel Kröhling
, Omar Chiotti, Ernesto C. Martínez:
A context-aware approach to automated negotiation using reinforcement learning. Adv. Eng. Informatics 47: 101229 (2021) - 2020
- [j17]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) - 2019
- [j16]Dan Ezequiel Kröhling
, Omar Chiotti, Ernesto C. Martínez:
The importance of context-dependent learning in negotiation agents. Inteligencia Artif. 22(63): 135-149 (2019) - 2018
- [j15]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: 63-72 (2018) - [j14]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) - [j13]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): 14 (2018) - 2017
- [j12]Martin F. Luna, Ernesto C. Martínez:
Iterative modeling and optimization of biomass production using experimental feedback. Comput. Chem. Eng. 104: 151-163 (2017) - 2015
- [j11]Luis Omar Ávila
, Ernesto C. Martínez:
An active inference approach to on-line agent monitoring in safety-critical systems. Adv. Eng. Informatics 29(4): 1083-1095 (2015) - [j10]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: 310-332 (2015) - [j9]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): 2234-2255 (2015) - 2014
- [j8]Luis Omar Ávila
, Ernesto C. Martínez:
Behavior monitoring under uncertainty using Bayesian surprise and optimal action selection. Expert Syst. Appl. 41(14): 6327-6345 (2014) - 2013
- [j7]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: 37-49 (2013) - 2012
- [j6]Jorge Palombarini, Ernesto C. Martínez:
Task Rescheduling using Relational Reinforcement Learning. Inteligencia Artif. 15(50): 57-68 (2012) - [j5]Jorge Palombarini, Ernesto C. Martínez:
SmartGantt - An interactive system for generating and updating rescheduling knowledge using relational abstractions. Comput. Chem. Eng. 47: 202-216 (2012) - [j4]Jorge Palombarini, Ernesto C. Martínez:
SmartGantt - An intelligent system for real time rescheduling based on relational reinforcement learning. Expert Syst. Appl. 39(11): 10251-10268 (2012) - 2011
- [j3]Syam Syafiie
, Fernando Tadeo
, Ernesto C. Martínez, Teresa Alvarez
:
Model-free control based on reinforcement learning for a wastewater treatment problem. Appl. Soft Comput. 11(1): 73-82 (2011) - 2007
- [j2]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): 477-486 (2007) - [j1]Syam Syafiie
, Fernando Tadeo
, Ernesto C. Martínez:
Model-free learning control of neutralization processes using reinforcement learning. Eng. Appl. Artif. Intell. 20(6): 767-782 (2007)
Conference and Workshop Papers
- 2017
- [c2]Juan Cruz Barsce, Jorge Palombarini, Ernesto C. Martínez:
Towards autonomous reinforcement learning: Automatic setting of hyper-parameters using Bayesian optimization. CLEI 2017: 1-9 - 2005
- [c1]Syam Syafiie
, Fernando Tadeo
, Ernesto C. Martínez:
Macro-Actions in Model-Free Intelligent Control with Application to pH Control. CDC/ECC 2005: 2710-2715
Informal and Other Publications
- 2022
- [i6]Nghia Duong-Trung, Stefan Born, Jong Woo Kim, Marie-Therese Schermeyer, Katharina Paulick
, Maxim Borisyak
, Ernesto C. Martínez, Mariano Nicolás Cruz Bournazou, Thorben Werner, Randolf Scholz, Lars Schmidt-Thieme
, Peter Neubauer:
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development. CoRR abs/2209.01083 (2022) - 2021
- [i5]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 abs/2112.08094 (2021) - 2019
- [i4]Juan Cruz Barsce, Jorge A. Palombarini, Ernesto C. Martínez:
A Hierarchical Two-tier Approach to Hyper-parameter Optimization in Reinforcement Learning. CoRR abs/1909.08332 (2019) - 2018
- [i3]Juan Cruz Barsce, Jorge A. Palombarini, Ernesto C. Martínez:
Towards Autonomous Reinforcement Learning: Automatic Setting of Hyper-parameters using Bayesian Optimization. CoRR abs/1805.04748 (2018) - [i2]Juan Cruz Barsce, Jorge A. Palombarini, Ernesto C. Martínez:
A Cognitive Approach to Real-time Rescheduling using SOAR-RL. CoRR abs/1805.04749 (2018) - [i1]Jorge A. Palombarini, Juan Cruz Barsce, Ernesto C. Martínez:
Generating Rescheduling Knowledge using Reinforcement Learning in a Cognitive Architecture. CoRR abs/1805.04752 (2018)
Coauthor Index
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last updated on 2024-08-05 20:24 CEST by the dblp team
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