Dataset Groups Activity Stream Archive Distillation The archive A contains policies parameterized by deep neural networks and trained via a state of the art QD-RL method PPGA. BibTex: @dataset{Shashank_Hegde_and_Sumeet_Batra_and_KR_Zentner_and_Gaurav_S_Sukhatme_2024, abstract = {The archive A contains policies parameterized by deep neural networks and trained via a state of the art QD-RL method PPGA.}, author = {Shashank Hegde and Sumeet Batra and K.R. Zentner and Gaurav S. Sukhatme}, doi = {10.57702/64ibc38o}, institution = {No Organization}, keyword = {'archive distillation', 'latent diffusion models', 'quality diversity reinforcement learning'}, month = {dec}, publisher = {TIB}, title = {Archive Distillation}, url = {https://service.tib.eu/ldmservice/dataset/archive-distillation}, year = {2024} }
