Autonomous Learning of State Representations for Control: An Emerging Field Aims to Autonomously Learn State Representations for Reinforcement Learning Agents from Their Real-World Sensor Observations
Crossref DOI link: https://doi.org/10.1007/s13218-015-0356-1
Published Online: 2015-03-19
Published Print: 2015-11
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Böhmer, Wendelin
Springenberg, Jost Tobias
Boedecker, Joschka
Riedmiller, Martin
Obermayer, Klaus
Text and Data Mining valid from 2015-03-19