23 citations · 43 across the 4 of their papers we have counts for
4 papers
Knowledge Transfer for Cross-Domain Reinforcement Learning: A Systematic Review
Sergio A. Serrano, Jose Martinez-Carranza, L. Enrique Sucar
Reinforcement Learning (RL) provides a framework in which agents can be trained, via trial and error, to solve complex decision-making problems. Learning with little supervision ca…
Similarity-based Knowledge Transfer for Cross-Domain Reinforcement Learning
Sergio A. Serrano, Jose Martinez-Carranza, L. Enrique Sucar
Transferring knowledge in cross-domain reinforcement learning is a challenging setting in which learning is accelerated by reusing knowledge from a task with different observation…
Knowledge-Based Hierarchical POMDPs for Task Planning
Sergio A. Serrano, Elizabeth Santiago, Jose Martinez-Carranza +2
The main goal in task planning is to build a sequence of actions that takes an agent from an initial state to a goal state. In robotics, this is particularly difficult because acti…
Term-Weighting Learning via Genetic Programming for Text Classification
Hugo Jair Escalante, Mauricio A. García-Limón, Alicia Morales-Reyes +3
This paper describes a novel approach to learning term-weighting schemes (TWSs) in the context of text classification. In text mining a TWS determines the way in which documents wi…