Ernesto C. Martínez
Orcid: 0000-0002-2622-1579
According to our database1,
Ernesto C. Martínez
authored at least 23 papers
between 2007 and 2024.
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Bibliography
2024
Learning and adaptation of strategies in automated negotiations between context-aware agents.
Inteligencia Artif., January, 2024
2023
Artificial Theory of Mind in contextual automated negotiations within peer-to-peer markets.
Eng. Appl. Artif. Intell., April, 2023
2022
A peer-to-peer market for utility exchanges in Eco-Industrial Parks using automated negotiations.
Expert Syst. Appl., 2022
2021
Automatic tuning of hyper-parameters of reinforcement learning algorithms using Bayesian optimization with behavioral cloning.
CoRR, 2021
Adv. Eng. Informatics, 2021
2020
A repeated-negotiation game approach to distributed (re)scheduling of multiple projects using decoupled learning.
Simul. Model. Pract. Theory, 2020
2019
A Hierarchical Two-tier Approach to Hyper-parameter Optimization in Reinforcement Learning.
CoRR, 2019
Inteligencia Artif., 2019
2018
Multi-agent Learning by Trial and Error for Resource Leveling during Multi-Project (Re)scheduling.
J. Comput. Sci. Technol., 2018
Generating Rescheduling Knowledge using Reinforcement Learning in a Cognitive Architecture.
CoRR, 2018
Towards Autonomous Reinforcement Learning: Automatic Setting of Hyper-parameters using Bayesian Optimization.
CLEI Electron. J., 2018
Robust insulin estimation under glycemic variability using Bayesian filtering and Gaussian process models.
Biomed. Signal Process. Control., 2018
2017
Iterative modeling and optimization of biomass production using experimental feedback.
Comput. Chem. Eng., 2017
2015
On-line policy learning and adaptation for real-time personalization of an artificial pancreas.
Expert Syst. Appl., 2015
Controlling blood glucose variability under uncertainty using reinforcement learning and Gaussian processes.
Appl. Soft Comput., 2015
Adv. Eng. Informatics, 2015
2014
Behavior monitoring under uncertainty using Bayesian surprise and optimal action selection.
Expert Syst. Appl., 2014
2013
Dynamic optimization of bioreactors using probabilistic tendency models and Bayesian active learning.
Comput. Chem. Eng., 2013
2012
SmartGantt - An intelligent system for real time rescheduling based on relational reinforcement learning.
Expert Syst. Appl., 2012
SmartGantt - An interactive system for generating and updating rescheduling knowledge using relational abstractions.
Comput. Chem. Eng., 2012
2007
Performance monitoring of industrial controllers based on the predictability of controller behavior.
Comput. Chem. Eng., 2007