( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Training and Evaluation of Deep Policies Using Reinforcement Learning and Generative Models.

, , , , , , и . J. Mach. Learn. Res., (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Peter Petrausch

Heinrich Petram

Matthias Petran

Oskar Peter Petrasch

Rainer Petrasch

 

Другие публикации лиц с тем же именем

Augment-Connect-Explore: a Paradigm for Visual Action Planning with Data Scarcity., , , , и . IROS, стр. 754-761. IEEE, (2022)Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms., , , , , и . IROS, стр. 1274-1280. IEEE, (2021)Hyperbolic Delaunay Geometric Alignment., , , , , , и . CoRR, (2024)BRAVE: Broadening the visual encoding of vision-language models., , , , , и . CoRR, (2024)Training and Evaluation of Deep Policies Using Reinforcement Learning and Generative Models., , , , , , и . J. Mach. Learn. Res., (2022)Latent Space Roadmap for Visual Action Planning of Deformable and Rigid Object Manipulation., , , , , , и . IROS, стр. 5619-5626. IEEE, (2020)Geometric Multimodal Contrastive Representation Learning., , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 17782-17800. PMLR, (2022)Learning and Evaluating the Geometric Structure of Representation Spaces.. Royal Institute of Technology, Stockholm, Sweden, (2022)base-search.net (ftkthstockholm:oai:DiVA.org:kth-312723).Modeling assumptions and evaluation schemes: On the assessment of deep latent variable models., , и . CVPR Workshops, стр. 9-12. Computer Vision Foundation / IEEE, (2019)Delaunay Component Analysis for Evaluation of Data Representations., , , , и . ICLR, OpenReview.net, (2022)