Reinforcement learning

A Reinforcement Learning Based Cognitive Empathy Framework for Social Robots

Robots that express human’s social norms, like empathy, are perceived as more friendly, understanding, and caring. However, appropriate human-like empathic behaviors cannot be defined in advance, instead, they must be learned through daily …

Toward a Reinforcement Learning Based Framework for Learning Cognitive Empathy in Human-Robot Interactions

Observing another’s affective state and adjusting one’s behavior to respond to it, is the basic functionality of empathy. To enable robots to do this, they need a mechanism to learn how to provide the most appropriate empathic behavior through …

Action Learning and Grounding in Simulated Human Robot Interactions

Natural human-robot interaction requires robots to learn new tasks autonomously and link the learned actions to their corresponding words through grounding. Previous studies focused only on action learning or grounding, but not both. In this paper, …

Simultaneous Action Learning and Grounding through Reinforcement and Cross-Situational Learning

Natural human-robot interaction requires robots to learn new tasks autonomously and link the learned actions to their corresponding words through grounding. Previous studies focused only on action learning or grounding, but not both. In this paper, …