Comprehensive overview of reward engineering and shaping in advancing reinforcement learning applications
Reinforcement Learning (RL) seeks to develop systems capable of autonomous decision-
making by learning through interaction with their environment. Central to this process are …
making by learning through interaction with their environment. Central to this process are …
Data-driven architecture to encode information in the kinematics of robots and artificial avatars
We present a data-driven control architecture for modifying the kinematics of robots and
artificial avatars to encode specific information such as the presence or not of an emotion in …
artificial avatars to encode specific information such as the presence or not of an emotion in …