19 citations · 19 across the 4 of their papers we have counts for
4 papers
Data Augmentation for 3DMM-based Arousal-Valence Prediction for HRI
Christian Arzate Cruz, Yotam Sechayk, Takeo Igarashi +1
Humans use multiple communication channels to interact with each other. For instance, body gestures or facial expressions are commonly used to convey an intent. The use of such non…
A Survey on Interactive Reinforcement Learning: Design Principles and Open Challenges
Christian Arzate Cruz, Takeo Igarashi
Interactive reinforcement learning (RL) has been successfully used in various applications in different fields, which has also motivated HCI researchers to contribute in this area.…
MarioMix: Creating Aligned Playstyles for Bots with Interactive Reinforcement Learning
Christian Arzate Cruz, Takeo Igarashi
In this paper, we propose a generic framework that enables game developers without knowledge of machine learning to create bot behaviors with playstyles that align with their prefe…
Interactive Explanations: Diagnosis and Repair of Reinforcement Learning Based Agent Behaviors
Christian Arzate Cruz, Takeo Igarashi
Reinforcement learning techniques successfully generate convincing agent behaviors, but it is still difficult to tailor the behavior to align with a user's specific preferences. Wh…