Leonardo Villalobos-Arias

16 papers A* 1A 2Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
General Flexible
CoRR
Jianxun Wang, Grant C. Forbes, Leonardo Villalobos-Arias, David L. Roberts
2025 A* conf
Action-Dependent Optimality-Preserving Reward Shaping.
ICML
Grant C. Forbes, Jianxun Wang, Leonardo Villalobos-Arias, Arnav Jhala, David L. Roberts
2025 A conf
Action-Dependent Optimality-Preserving Reward Shaping.
AAMAS
Grant C. Forbes, Jianxun Wang, Leonardo Villalobos-Arias, Arnav Jhala, David I. Roberts
2025 J jnl
Action-Dependent Optimality-Preserving Reward Shaping.
CoRR
Grant C. Forbes, Jianxun Wang, Leonardo Villalobos-Arias, Arnav Jhala, David L. Roberts
2025 J jnl
Minding Motivation: The Effect of Intrinsic Motivation on Agent Behaviors.
CoRR
Leonardo Villalobos-Arias, Grant C. Forbes, Jianxun Wang, David L. Roberts, Arnav Jhala
2024 J jnl
Potential-Based Intrinsic Motivation: Preserving Optimality With Complex, Non-Markovian Shaping Rewards.
CoRR
Grant C. Forbes, Leonardo Villalobos-Arias, Jianxun Wang, Arnav Jhala, David L. Roberts
2024 J jnl
Potential-Based Reward Shaping For Intrinsic Motivation.
CoRR
Grant C. Forbes, Nitish Gupta, Leonardo Villalobos-Arias, Colin M. Potts, Arnav Jhala, David L. Roberts
2024 A conf
Potential-Based Reward Shaping for Intrinsic Motivation.
AAMAS
Grant C. Forbes, Nitish Gupta, Leonardo Villalobos-Arias, Colin M. Potts, Arnav Jhala, David L. Roberts
2023 J jnl
Modeling Risk in Reinforcement Learning: A Literature Mapping.
CoRR
Leonardo Villalobos-Arias, Derek Martin, Abhijeet Krishnan, Madeleine Gagné, Colin M. Potts, Arnav Jhala
2021 — conf
Comparative study of random search hyper-parameter tuning for software effort estimation.
PROMISE
Leonardo Villalobos-Arias, Christian Quesada-López
2021 — conf
Hyper-Parameter Tuning of Classification and Regression Trees for Software Effort Estimation.
WorldCIST (3)
Leonardo Villalobos-Arias, Christian Quesada-López, Alexandra Martínez Porras, Marcelo Jenkins
2021 — conf
Multi-objective hyper-parameter tuning for software effort estimation.
CIbSE
Leonardo Villalobos-Arias, Christian Quesada-López, Alexandra Martínez, Marcelo Jenkins
2020 — conf
Evaluating hyper-parameter tuning using random search in support vector machines for software effort estimation.
PROMISE
Leonardo Villalobos-Arias, Christian Quesada-López, Jose Guevara-Coto, Alexandra Martínez, Marcelo Jenkins
2020 J jnl
Evaluation of a model-based testing platform for Java applications.
IET Softw.
Leonardo Villalobos-Arias, Christian Quesada-López, Alexandra Martínez, Marcelo Jenkins
2019 J jnl
Model-based testing areas, tools and challenges: A tertiary study.
CLEI Electron. J.
Leonardo Villalobos-Arias, Christian Quesada-López, Alexandra Martínez, Marcelo Jenkins
2018 — conf
A tertiary study on model-based testing areas, tools and challenges: Preliminary results.
CIbSE
Leonardo Villalobos-Arias, Christian Quesada-López, Alexandra Martínez, Marcelo Jenkins