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Paper Citation Record · LEDGER

QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 38 inbound Pith citation observations for arXiv:1806.10293.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1806.10293 v3

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 38 of 38 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 38 of 38 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:02:07.280889Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

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External citation measurements

575
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 20f08064-7054-48b0-811b-6eae1dba30ae · inbound

Dynamics-aware Embeddings cites this paper.

Dynamics-aware Embeddings QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 15

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no resolver link, observed 2026-08-14T11:20:28.218232Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:20:28.218232Z digest=sha256:bb96c9b60608f9467323174d9a1fb82e46dc4f9eb2e31a33c66c23a7c1c5aa70

Observation 840759de-2a17-442a-beb3-3abaa9eb7c1b · inbound

Open X-Embodiment: Robotic Learning Datasets and RT-X Models cites this paper.

Open X-Embodiment: Robotic Learning Datasets and RT-X Models QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 66

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arxiv_id, observed 2026-05-11T17:23:24.391566Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 4de130fc-355b-45c0-9e22-a33edfbbccb8 · inbound

CROP: Conservative Reward for Model-based Offline Policy Optimization cites this paper.

CROP: Conservative Reward for Model-based Offline Policy Optimization QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 14

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local_arxiv, observed 2026-05-24T06:39:01.267629Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-24T06:37:57.104233Z digest=sha256:3639a95a8c3d4f1229a25895334ef06ba176f55b150c09d1743f6bea63212e93

Observation f13e0c82-ae6c-44f8-8061-c76ef624d109 · inbound

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations cites this paper.

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 14

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local_arxiv, observed 2026-05-17T09:47:55.088607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-17T09:47:54.977716Z digest=sha256:b440f22d77db89efe5030bead61bb86a649707868e8e96022c6486f9de39a2c9

Observation 82047816-2996-47ac-8b03-cfbf02993db5 · inbound

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset cites this paper.

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 26

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arxiv_id, observed 2026-05-11T05:51:18.929401Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 4f95175f-f48e-492f-8da6-e2311f598eea · inbound

Octo: An Open-Source Generalist Robot Policy cites this paper.

Octo: An Open-Source Generalist Robot Policy QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 42

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arxiv_id, observed 2026-05-11T00:26:15.513470Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-11T00:26:15.163358Z digest=sha256:0d1bdaffa6c8df146d3cb1a44ae140ffad8bc8b58ac29c11a62ae20d1825fa80

Observation b98b57a8-6ea6-44e0-9ab1-3df0bf808f0d · inbound

RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots cites this paper.

RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 18

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arxiv_id, observed 2026-05-12T23:46:30.265942Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T23:46:30.198761Z digest=sha256:0861f26dbad5bafeb62119dcc0e6ece92d6109aaab07084afb708d38615bd54b

Observation 55ba4592-6f4b-411b-bd2c-22ac4e4d1f65 · inbound

OpenVLA: An Open-Source Vision-Language-Action Model cites this paper.

OpenVLA: An Open-Source Vision-Language-Action Model QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 46

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arxiv_id, observed 2026-05-10T14:46:36.382354Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T14:46:35.942338Z digest=sha256:883a668225bc0a1a904dfe1cccffd7843fefffe3cd5c2962201d1a29fcad5abf

Observation 7efdcb50-c867-4e03-94a2-6a2acbba6ce9 · inbound

CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation cites this paper.

CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 27

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arxiv_id, observed 2026-05-12T07:33:25.574455Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T07:33:25.188358Z digest=sha256:011755cef42436318e1303d366c379f34cde7dc00b9d2949e85cc3ec2f31e951

Observation efa0d0b9-d688-4667-bf9d-99035bcb90a7 · inbound

Equivariant Action Sampling for Reinforcement Learning and Planning cites this paper.

Equivariant Action Sampling for Reinforcement Learning and Planning QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 45

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source=arxiv_source observed=2026-08-11T14:28:18.710086Z digest=sha256:7b3673b175bf85db139c89416143305c9b6df72d21d555cc7193e20327a4d416

Observation d337fd05-a88e-4b83-90fa-6289a03eeaa2 · inbound

ParMod: A Parallel and Modular Framework for Learning Non-Markovian Tasks cites this paper.

ParMod: A Parallel and Modular Framework for Learning Non-Markovian Tasks QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 15

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source=arxiv_source observed=2026-08-11T13:56:23.185023Z digest=sha256:3a0406ff9a19b27cfa7b2c1de20dcb66a7f2380cef854874006aafd8f1701b9d

Observation 79785c2f-bca9-4471-983e-b63a8b144bf8 · inbound

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent cites this paper.

Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 30

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source=pdf_text observed=2026-08-10T15:10:47.061284Z digest=sha256:3a346a906169dc26eddc6f3985129fa3964d26b9d0faacdbc684c9c5df7ca5d8

Observation abd6b68c-6250-437b-a412-6dc3e3b94bf3 · inbound

Digi-Q: Learning Q-Value Functions for Training Device-Control Agents cites this paper.

Digi-Q: Learning Q-Value Functions for Training Device-Control Agents QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 15

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no resolver link, observed 2026-08-07T20:57:48.430431Z

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source=pdf_text observed=2026-08-07T20:57:48.430431Z digest=sha256:3f0ef3d35eb30f72ba13928a9c9df445333caeb81deafb3d2498e11b9330b257

Observation d783e6fb-cf91-49ec-8ef1-fc865b6e8db4 · inbound

Deep Computerized Adaptive Testing cites this paper.

Deep Computerized Adaptive Testing QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 27

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local_arxiv, observed 2026-05-23T02:12:24.027626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-23T02:11:42.178712Z digest=sha256:194816d26c4da6eb654576271da40ce8e7baa09d7ff3917941c31a2b32186d5b

Observation b8235e85-3797-4d73-8757-7677093a5f32 · inbound

HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model cites this paper.

HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 84

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local_arxiv, observed 2026-05-15T22:00:48.865695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T22:00:48.667428Z digest=sha256:2e323525285422bcef01e2aed759de65db46fd7b6b8e9d7df74274e8bf82d3a0

Observation a2efb33e-336f-45fa-bfa4-bee9d3d83cc9 · inbound

Prompt-responsive Object Retrieval with Memory-augmented Student-Teacher Learning cites this paper.

Prompt-responsive Object Retrieval with Memory-augmented Student-Teacher Learning QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 20

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Observation 462a9486-5aaa-48b7-a90e-4a6af5fd45e5 · inbound

GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data cites this paper.

GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 55

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local_arxiv, observed 2026-05-17T20:55:52.240827Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation ff755f8d-a96c-45c7-b8c8-8ef97f380ead · inbound

Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation cites this paper.

Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 4

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Observation 897fa41e-adc0-437e-9c31-68dfd8d45e93 · inbound

VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning cites this paper.

VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 35

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local_arxiv, observed 2026-05-16T12:55:40.423602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-16T12:55:40.245908Z digest=sha256:c705d6fb161b02e8fb55e6337b4fb223ccd8cfd352ae9a0d50df6292cb4cfff6

Observation cbb14c48-286f-4ed2-bff7-dcda49336d63 · inbound

Fast-in-Slow: A Dual-System Foundation Model Unifying Fast Manipulation within Slow Reasoning cites this paper.

Fast-in-Slow: A Dual-System Foundation Model Unifying Fast Manipulation within Slow Reasoning QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 74

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source=pdf_text observed=2026-08-07T11:34:19.843922Z digest=sha256:351b8e803ae4bd5ab9c20707ba1ef33ca3bf865f354ac45a87e4235815b78c7d

Observation bf416417-af84-4ae1-80df-d384c5a667fa · inbound

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions cites this paper.

Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 20

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source=arxiv_source observed=2026-08-07T10:46:33.364570Z digest=sha256:81532a65263e02c2e5bc9aea5ba5fcf2070a6e24e9a88ee288c4856ad258db68

Observation bc84f432-7f24-4c6c-bdac-2375dc1ef1b7 · inbound

Ghost Policies: A New Paradigm for Understanding and Learning from Failure in Deep Reinforcement Learning cites this paper.

Ghost Policies: A New Paradigm for Understanding and Learning from Failure in Deep Reinforcement Learning QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 4

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Observation bf85238b-03e3-42d7-a6b0-51edb3c2a762 · inbound

ACTLLM: Action Consistency Tuned Large Language Model cites this paper.

ACTLLM: Action Consistency Tuned Large Language Model QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 21

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Observation b8835014-03a8-4cfd-8a00-e47530bd3960 · inbound

TD-MPC-Opt: Distilling Model-Based Multi-Task Reinforcement Learning Agents cites this paper.

TD-MPC-Opt: Distilling Model-Based Multi-Task Reinforcement Learning Agents QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 16

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Observation b757b7d0-269e-45a7-b8b1-8e6cec508886 · inbound

Physics-informed Neural Time Fields for Prehensile Object Manipulation cites this paper.

Physics-informed Neural Time Fields for Prehensile Object Manipulation QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 17

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Observation 0a795517-5ea7-4ca0-922b-cf519cd4f3a5 · inbound

$\pi^{*}_{0.6}$: a VLA That Learns From Experience cites this paper.

$\pi^{*}_{0.6}$: a VLA That Learns From Experience QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 15

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arxiv_id, observed 2026-05-12T10:34:59.265492Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 0bf2d53a-8726-4b2a-a61d-2a2d6bd29683 · inbound

Beyond Imitation: Reinforcement Learning-Based Sim-Real Co-Training for VLA Models cites this paper.

Beyond Imitation: Reinforcement Learning-Based Sim-Real Co-Training for VLA Models QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 32

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no resolver link, observed 2026-08-02T23:48:58.328749Z

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source=pdf_text observed=2026-08-02T23:48:58.328749Z digest=sha256:ba6ec37266de8a03613f862b715794789219dd56419e228ca87bb086ad015dac

Observation 08e23531-bf65-4e6d-9080-7a517cb3414b · inbound

ALOE: Action-Level Off-Policy Evaluation for Vision-Language-Action Model Post-Training cites this paper.

ALOE: Action-Level Off-Policy Evaluation for Vision-Language-Action Model Post-Training QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 16

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source=pdf_text observed=2026-08-02T23:47:55.298132Z digest=sha256:d58f769e959b6fac90ff5be02684c3fff4b244b926a870034f7f0ddf534037b1

Observation 6b700035-24c1-42c0-8a75-0d1ccd1ef06a · inbound

Unmasking the Illusion of Embodied Reasoning in Vision-Language-Action Models cites this paper.

Unmasking the Illusion of Embodied Reasoning in Vision-Language-Action Models QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 60

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arxiv_id, observed 2026-05-11T11:56:29.320668Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T04:27:18.284698Z digest=sha256:f5d4cf9368e80ae82cffbd3823d32f8d49a5fa5b5ce64e46d01a260a49965beb

Observation 7d4d2e6f-2e01-4ba4-957f-353f646f32d7 · inbound

LaST-R1: Reinforcing Robotic Manipulation via Adaptive Physical Latent Reasoning cites this paper.

LaST-R1: Reinforcing Robotic Manipulation via Adaptive Physical Latent Reasoning QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 62

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arxiv_id, observed 2026-05-12T10:31:30.076897Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-07T05:47:17.494531Z digest=sha256:47c56fb9ec41a4002b5d11ce896d45fd8b79b8665c39bac248e9c49aa9952e61

Observation a2e8c942-994e-4981-ba89-82ad0bf793e5 · inbound

LaST-R1: Reinforcing Robotic Manipulation via Adaptive Physical Latent Reasoning cites this paper.

LaST-R1: Reinforcing Robotic Manipulation via Adaptive Physical Latent Reasoning QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 62

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arxiv_id, observed 2026-05-11T22:17:03.486360Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-08T03:00:26.352130Z digest=sha256:c313300673a7ab3ff7f9160e6fbc7abc5dd5a0fb5f9d003241b2897aa846f8a2

Observation 1ceee35e-da16-454e-9b98-ac75447cb6a1 · inbound

World Action Models: The Next Frontier in Embodied AI cites this paper.

World Action Models: The Next Frontier in Embodied AI QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 118

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arxiv_id, observed 2026-05-13T05:07:18.197943Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-13T05:01:16.802019Z digest=sha256:6ec65b5697910d57decef3b5fc879685c6cc3a9eed5cc2e6772cc06f15251e8f

Observation bb9e507e-cf42-4f5c-b0f5-634804e9c5ab · inbound

Coarse-to-Control: Action-Token Planning for Vision-Language-Action Models cites this paper.

Coarse-to-Control: Action-Token Planning for Vision-Language-Action Models QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 41

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local_arxiv, observed 2026-06-27T22:01:20.745662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T21:57:19.195413Z digest=sha256:1cfad0b6e758fcd34a34c5db11d2493ea5e29be6b8f874afd24530d45d4592d1

Observation ba3c2609-49e7-4c3c-a6e0-b31cef026d2b · inbound

LaST-HD: Learning Latent Physical Reasoning from Scalable Human Data for Robot Manipulation cites this paper.

LaST-HD: Learning Latent Physical Reasoning from Scalable Human Data for Robot Manipulation QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 73

Resolution
verified exact
local_arxiv, observed 2026-07-04T11:29:50.820061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T07:58:17.225491Z digest=sha256:e20f7a85cb4a8960a24607fa44fa37dd86f0051381d9a84a073de961ba9e8199

Observation a84e08f0-7034-40b6-a6fb-ba8efa6d0740 · inbound

InSight: Self-Guided Skill Acquisition via Steerable VLAs cites this paper.

InSight: Self-Guided Skill Acquisition via Steerable VLAs QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-07-04T16:49:58.292475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T00:10:51.721485Z digest=sha256:2f892e9a3ff99f8ff3fa23bbc921c2e8409ea4079a279aed34d2a239b9415c72

Observation 362013dd-6d24-45fc-84a3-32dbffafc886 · inbound

Predicting Grasping Compliance in Robotic Hands through Analytical-Model-Informed Neural Networks cites this paper.

Predicting Grasping Compliance in Robotic Hands through Analytical-Model-Informed Neural Networks QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T17:46:31.844616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:46:31.844616Z digest=sha256:e98390121d8a8c6eecf0c38acf300bd74d5d4c688a9a5279f51ae6b814ecbd6f

Observation a2c7b3eb-8ab6-4d06-b6fd-a41bd7f2c470 · inbound

Data Pyramid for Embodied Manipulation: A Survey cites this paper.

Data Pyramid for Embodied Manipulation: A Survey QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 186

Resolution
unresolved
no resolver link, observed 2026-07-31T06:18:55.667721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T06:18:55.667721Z digest=sha256:10be4b7692e5d2dbabfe8c8a4324ba234979a3c4ff0bc1acf7848b659a01fd8a

Observation 44d7a043-cb1b-47e6-a613-9db3b07cf93e · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Reference 113

Resolution
unresolved
no resolver link, observed 2026-08-04T19:45:34.804987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:45:34.804987Z digest=sha256:cb11866a9b001e62d33d57f65f9087461187b99bd2e3128a8d3c4a5ce3e21a67