An Emotional Virtual Character: A Deep Learning Approach with Reinforcement Learning
Gilzamir Ferreira Gomes, Creto Augusto Vidal, Joaquim Bento Cavalcante Neto, Yuri Lenon Barbosa Nogueira · 2019
We have developed an emotional agent based on reinforcement learning. The agent is a virtual character who lives in a three-dimensional maze world. Thus, we found that an emotional engine can induce the behavior of an agent after training. The training algorithm was the policy based reinforcement learning. Experiments showed that the emotional engine and reinforcement learning produced coherent behaviors. This is an important step towards believable autonomous virtual characters.