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cs.HC2021★ 19 cited
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.…
cs.HC2021
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…
cs.HC2021
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…