Unlike previous studies on the Metaverse based on Second Life, the current Metaverse is
based on the social value of Generation Z that online and offline selves are not different …

Learning meaningful behaviors in the absence of reward is a difficult problem in
reinforcement learning. A desirable and challenging unsupervised objective is to learn a set …

Inspired by human conscious planning, we propose Skipper, a model-based reinforcement
learning agent that utilizes spatial and temporal abstractions to generalize learned skills in …

Reinforcement Learning (RL) encompasses a range of techniques employed to train
autonomous agents to interact with environments with the purpose of maximizing their …