End-to-end nonprehensile rearrangement with deep reinforcement learning and simulation-to-reality transfer
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Yuan et al. [47] performs an action-value function adaptation in a supervised fashion.
“Yuan et al. [47] performs an action-value function adaptation in a supervised fashion.”
From Crossing the Reality Gap: A Survey on Sim-to-Real Transferability of Robot Controllers in Reinforcement Learning (2021) · cites this paper as [47]
The citation lists haven’t been fetched yet
References 77 · Cited by 54
- Authors
- Yuan, W., Hang, K., Kragic, D., Wang, M. Y., & Stork, J. A.
- Affiliations
- Hong Kong University of Science and Technology (HK)
- Yale University (US)
- Örebro University (SE)
- Corresponding author
- Stork, Johannes A.
- Venue
- Robotics and Autonomous Systems
- Publisher
- Elsevier BV
- Published
- 2019-09
- Volume
- 119
- Pages
- 119-134
- ISSN
- 0921-8890 (ISSN-L)
- OpenAlex
- W2953431737
- Cited by
- 54
- References
- 77
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 11 · 2023: 9 · 2022: 12 · 2021: 9 · 2020: 6 · 2019: 1
- FWCI
- 3.23
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Robotics and Autonomous Systems (publishedVersion)
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
- Funders
- Knut och Alice Wallenbergs Stiftelse
- Örebro Universitet
- Stiftelsen för Strategisk Forskning
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Reinforcement Learning in Robotics
- Physical Sciences › Engineering › Control and Systems Engineering › Robot Manipulation and Learning
- Physical Sciences › Computer Science › Artificial Intelligence › Domain Adaptation and Few-Shot Learning
- Keywords
- pushing, sim-to-real transfer, deep reinforcement learning, visual control, Baxter robot, obstacle avoidance
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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