An Autonomous Emotional Virtual Character: An Approach with Deep and Goal-Parameterized Reinforcement Learning

An Autonomous Emotional Virtual Character: An Approach with Deep and Goal-Parameterized Reinforcement Learning

We have developed an autonomous virtual character guided by emotions. The agent is a virtual character who lives in a three-dimensional maze world. We found that emotion drivers can induce the behavior of a trained agent. Our approach is a case of goal parameterized reinforcement learning. Thus, we...

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Bibliographic Details
Main Authors: Gilzamir Ferreira Gomes, Creto Augusto Vidal, Joaquim Bento Cavalcante Neto, Yuri Lenon Barbosa Nogueira
Format: Article
Language:English
Published: Brazilian Computer Society 2020-10-01
Series:Journal on Interactive Systems
Subjects:
Autonomous Virtual Characters
Emotion
Motivation
Deep Reinforcement Learning
Online Access:https://sol.sbc.org.br/journals/index.php/jis/article/view/751

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