Leonardo Villalobos-Arias

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 10

Top Topics

Parameter Tuning

Top Venues

Publications

Grant C. Forbes, Nitish Gupta, Leonardo Villalobos-Arias, Colin M. Potts, Arnav Jhala, David L. Roberts
Potential-Based Reward Shaping for Intrinsic Motivation. AAMAS (2024)
Grant C. Forbes, Nitish Gupta, Leonardo Villalobos-Arias, Colin M. Potts, Arnav Jhala, David L. Roberts
Potential-Based Reward Shaping For Intrinsic Motivation. CoRR (2024)
Leonardo Villalobos-Arias, Derek Martin, Abhijeet Krishnan, Madeleine Gagné, Colin M. Potts, Arnav Jhala
Modeling Risk in Reinforcement Learning: A Literature Mapping. CoRR (2023)
Leonardo Villalobos-Arias, Christian Quesada-López, Alexandra Martínez, Marcelo Jenkins
Multi-objective hyper-parameter tuning for software effort estimation. CIbSE (2021)
Leonardo Villalobos-Arias, Christian Quesada-López, Alexandra Martínez Porras, Marcelo Jenkins
Hyper-Parameter Tuning of Classification and Regression Trees for Software Effort Estimation. WorldCIST (3) (2021)
Leonardo Villalobos-Arias, Christian Quesada-López
Comparative study of random search hyper-parameter tuning for software effort estimation. PROMISE (2021)
Leonardo Villalobos-Arias, Christian Quesada-López, Alexandra Martínez, Marcelo Jenkins
Evaluation of a model-based testing platform for Java applications. IET Softw. 14 (2) (2020)
Leonardo Villalobos-Arias, Christian Quesada-López, Jose Guevara-Coto, Alexandra Martínez, Marcelo Jenkins
Evaluating hyper-parameter tuning using random search in support vector machines for software effort estimation. PROMISE (2020)
Leonardo Villalobos-Arias, Christian Quesada-López, Alexandra Martínez, Marcelo Jenkins
Model-based testing areas, tools and challenges: A tertiary study. CLEI Electron. J. 22 (1) (2019)
Leonardo Villalobos-Arias, Christian Quesada-López, Alexandra Martínez, Marcelo Jenkins
A tertiary study on model-based testing areas, tools and challenges: Preliminary results. CIbSE (2018)