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Francisco Cruz

2 accepted papers

2022

Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios

IROS 2022poster

Explainable artificial intelligence is a research field that tries to provide more transparency for autonomous intelligent systems. Explainability has been used, particularly in reinforcement learning and robotic scenarios, to better understand the robot decision-making process. Previous work, howev…

Cited by 15SourceScholar
2016

Multi-modal integration of dynamic audiovisual patterns for an interactive reinforcement learning scenario

IROS 2016poster

Robots in domestic environments are receiving more attention, especially in scenarios where they should interact with parent-like trainers for dynamically acquiring and refining knowledge. A prominent paradigm for dynamically learning new tasks has been reinforcement learning. However, due to excess…

Cited by 45SourceScholar