4 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.RO2026★ 4 cited
Boosting Deep Reinforcement Learning with Semantic Knowledge for Robotic Manipulators
Lucía Güitta-López, Vincenzo Suriani, Jaime Boal +2
Deep Reinforcement Learning (DRL) is a powerful framework for solving complex sequential decision-making problems, particularly in robotic control. However, its practical deploymen…
cs.RO2026★ 2 cited
Sim-to-Real Transfer via a Style-Identified Cycle Consistent Generative Adversarial Network: Zero-Shot Deployment on Robotic Manipulators through Visual Domain Adaptation
Lucía Güitta-López, Lionel Güitta-López, Jaime Boal +1
The sample efficiency challenge in Deep Reinforcement Learning (DRL) compromises its industrial adoption due to the high cost and time demands of real-world training. Virtual envir…