Dataset Groups Activity Stream Sparse Representation Learning with Modified q-VAE towards Minimal Realization of World Model The dataset used in this paper is a collection of high-dimensional observation data from cameras and LiDAR, used for training a world model. BibTex: @dataset{Taisuke_Kobayashi_and_Ryoma_Watanuki_2024, abstract = {The dataset used in this paper is a collection of high-dimensional observation data from cameras and LiDAR, used for training a world model.}, author = {Taisuke Kobayashi and Ryoma Watanuki}, doi = {10.57702/8stub4ps}, institution = {No Organization}, keyword = {'minimal realization', 'q-VAE', 'sparse representation learning', 'world model'}, month = {dec}, publisher = {TIB}, title = {Sparse Representation Learning with Modified q-VAE towards Minimal Realization of World Model}, url = {https://service.tib.eu/ldmservice/dataset/sparse-representation-learning-with-modi-ed-q-vae-towards-minimal-realization-of-world-model}, year = {2024} }
