@conference {cCreus, title = {PixelEDL: Unsupervised Skill Discovery and Learning from Pixels}, booktitle = {CVPR 2021 Embodied AI Workshop}, year = {2021}, month = {06/2021}, abstract = {

We tackle embodied visual navigation in a task-agnostic set-up by putting the focus on the unsupervised discovery of skills (or options) that provide a good coverage of states. Our approach intersects with empowerment: we address the reward-free skill discovery and learning tasks to discover {\textquotedblleft}what{\textquotedblright} can be done in an environment and {\textquotedblleft}how{\textquotedblright}. For this reason, we adopt the existing Explore, Discover and Learn (EDL) paradigm, tested only in toy example mazes, and extend it to pixel-based state representations available for embodied AI agents.

}, author = {Creus, Roger and Nieto, Juan Jos{\'e} and Xavier Gir{\'o}-i-Nieto} }