⌘+K

Pulse Explore Communities Researchers Journals

Home Communities Explore

January 1, 2016Journal of Machine Learning Research

End-to-end training of deep visuomotor policies

LevineSergey FinnChelsea DarrellTrevor AbbeelPieter

View at Publisher

Ask AI

Bookmark

Share

Ask about this paper

Answers are grounded in this paper and cite their sources.

Ask your own question…

Abstract

Policy search methods can allow robots to learn control policies for a wide range of tasks, but practical applications of policy search often require hand-engineered components for perception, stat...

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

LevineSergey et al. (2016) studied this question.

synapsesocial.com/papers/6a12d33a92637892a9a75360 https://doi.org/10.5555/2946645.2946684

View at Publisher

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 10 related papers. Consider them for comparative context:

1Adaptive Online Prediction by Following the Perturbed Leader.Journal of Machine Learning Research · 2025
2MEKA: A multi-label/multi-target extension to WekaJournal of Machine Learning Research · 2025
3River: Machine learning for streaming data in pythonJournal of Machine Learning Research · 2022
4An Introduction to Artificial Prediction Markets for ClassificationJournal of Machine Learning Research · 2022
5Pattern Recognition for Conditionally Independent DataJournal of Machine Learning Research · 2022
6Marginal Likelihood Integrals for Mixtures of Independence ModelsJournal of Machine Learning Research · 2022
7Undercomplete Blind Subspace DeconvolutionJournal of Machine Learning Research · 2022
8Nonlinear Models Using Dirichlet Process MixturesJournal of Machine Learning Research · 2022
9Matrix Completion from Noisy EntriesJournal of Machine Learning Research · 2022
10Manifold Learning: The Price of NormalizationJournal of Machine Learning Research · 2022

More from Journal of Machine Learning Research