V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control | Paper Citation Record

Observation e57fe484-753a-4801-94ee-3ff9606f0877 · outbound

This paper cites Reinforcement Learning Conference , year=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Reinforcement Learning Conference , year=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.369255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a1769ee-b33b-472d-bce1-c6040c873083 · outbound

This paper cites Forty-first International Conference on Machine Learning , year=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Forty-first International Conference on Machine Learning , year=

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.374775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f566992d-9f2a-4076-a641-251a09bb0f24 · outbound

This paper cites 1995 , publisher=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control 1995 , publisher=

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.379946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fe540d3-b1d3-44f6-8415-3847da813fe3 · outbound

This paper cites Nature , volume=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Nature , volume=

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.385181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05dafc2f-1811-4649-9c9c-2d5770715ac2 · outbound

This paper cites Computing in science & engineering , volume=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Computing in science & engineering , volume=

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.390233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c76a30be-da7f-48e6-a214-3974facf7d31 · outbound

This paper cites an unresolved cited work.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.396065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b68cf87-fb4b-4cf4-a1d3-0cb5b3867532 · outbound

This paper cites , journal=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control , journal=

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.400994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ce24967-37c6-4a39-afae-8b685bd9e7fe · outbound

This paper cites IOS Press , year = 2016, pages =.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control IOS Press , year = 2016, pages =

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.406424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 537cbd8a-edd5-4e73-b8dc-77b7344564ac · outbound

This paper cites Python for Data Analysis: Data Wrangling with Pandas,.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Python for Data Analysis: Data Wrangling with Pandas,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.411348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88ca4713-8e5c-451e-bdb2-b82c241a8bd2 · outbound

This paper cites Forty-second International Conference on Machine Learning , year=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Forty-second International Conference on Machine Learning , year=

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.416067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba8fa836-86f2-4c74-8f27-38838dfbb0eb · outbound

This paper cites The Thirteenth International Conference on Learning Representations , year=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control The Thirteenth International Conference on Learning Representations , year=

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.421960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5307efec-b126-4005-ba32-fc25dc5c5554 · outbound

This paper cites Mixture of Experts in a Mixture of.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Mixture of Experts in a Mixture of

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.427133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bad3e48c-f9ca-41f6-b3e6-e3fecc873e94 · outbound

This paper cites Forty-third International Conference on Machine Learning , year=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Forty-third International Conference on Machine Learning , year=

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.432382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a8446cb-4ed2-45e6-bb9b-e499db6719b4 · outbound

This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.436841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5150b72d-6b65-4fd6-98e3-f72911551c87 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Advances in Neural Information Processing Systems , volume=

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.481309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88367737-f250-4c95-9ced-7c15ca0d2c37 · outbound

This paper cites A Survey of State Representation Learning for Deep Reinforcement Learning.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control A Survey of State Representation Learning for Deep Reinforcement Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.522343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e44d22c7-a2b9-4b68-bb0d-17eb3c6e61f3 · outbound

This paper cites International Conference on Learning Representations , volume=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control International Conference on Learning Representations , volume=

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.548531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11ba5a13-27d9-4a8a-9098-e9b6fbb2c8b6 · outbound

This paper cites A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.611443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f100fbb2-efc4-4b6c-a740-d696d3c323c9 · outbound

This paper cites an unresolved cited work.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.661040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 822fcae4-438d-4c94-ba91-80311edbadab · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Advances in Neural Information Processing Systems , volume=

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.682920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation add1ad3c-3f92-43de-9a1f-3a94bc49de80 · outbound

This paper cites International conference on machine learning , pages=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control International conference on machine learning , pages=

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.688473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01506ef6-e2e9-4d3c-bb21-c04ad0be6a5d · outbound

This paper cites Towards General-Purpose Model-Free Reinforcement Learning.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Towards General-Purpose Model-Free Reinforcement Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.695144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e823bf09-6b87-401b-a16f-93f22e1f97e0 · outbound

This paper cites Data-Efficient Reinforcement Learning with Self-Predictive Representations.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Data-Efficient Reinforcement Learning with Self-Predictive Representations

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.700829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 659b241e-5954-401b-b281-00999289429d · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Advances in Neural Information Processing Systems , volume=

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.706395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 588fb875-6a1a-40b6-b008-c2be8e4ddcc3 · outbound

This paper cites 2016 IEEE/RSJ international conference on intelligent robots and systems (IROS) , pages=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control 2016 IEEE/RSJ international conference on intelligent robots and systems (IROS) , pages=

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.711324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f08bcd87-10c5-41df-8e2a-a31162099b81 · outbound

This paper cites International conference on machine learning , pages=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control International conference on machine learning , pages=

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.716805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6d33a24-ca73-4944-a4ef-b070bf066548 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Advances in Neural Information Processing Systems , volume=

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.722823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aacf2e18-d1af-4451-8395-b794e5fe600f · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Advances in Neural Information Processing Systems , volume=

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.728230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcf7acd0-e71d-4f35-9770-c83b315843e7 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Advances in Neural Information Processing Systems , volume=

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.735816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa20d1a6-60b3-4c7d-bb46-db45444c0afd · outbound

This paper cites International Conference on Machine Learning , pages=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control International Conference on Machine Learning , pages=

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.746142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 740f8dde-456b-467f-97e5-c227892f50db · outbound

This paper cites Learning Temporally-Consistent Representations for Data-Efficient Reinforcement Learning.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Learning Temporally-Consistent Representations for Data-Efficient Reinforcement Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.752787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 191fbf1a-a53a-4466-8534-fd926951d195 · outbound

This paper cites International Conference on Machine Learning , pages=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control International Conference on Machine Learning , pages=

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.758999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a702cc7e-7664-411c-a733-6e62d9961d49 · outbound

This paper cites , author=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control , author=

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.764378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66e176ce-c77d-4edd-a955-5227dad8bba4 · outbound

This paper cites Bridging State and History Representations: Understanding Self-Predictive RL.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Bridging State and History Representations: Understanding Self-Predictive RL

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.773234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5974cec4-da9d-49dd-b719-f69b3a4ea8c8 · outbound

This paper cites TD-M(PC)$^2$: Improving Temporal Difference MPC Through Policy Constraint.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control TD-M(PC)$^2$: Improving Temporal Difference MPC Through Policy Constraint

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.783070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a21eed42-d0d2-43af-906c-fadf49141fc7 · outbound

This paper cites Conference on robot learning , pages=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Conference on robot learning , pages=

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.788493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e74c4449-ae73-48dc-9134-5bedfa202383 · outbound

This paper cites World Models.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control World Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.793741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05453046-1d4f-4fed-baa2-6bf8004e17e1 · outbound

This paper cites 2016 IEEE International Conference on Robotics and Automation (ICRA) , pages=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control 2016 IEEE International Conference on Robotics and Automation (ICRA) , pages=

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.800026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdbb37c7-128f-4300-99a0-637a8505ac81 · outbound

This paper cites Advances in neural information processing systems , volume=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Advances in neural information processing systems , volume=

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.805467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6346b7e8-e270-4e32-8b59-a358ed14bec9 · outbound

This paper cites Advances in neural information processing systems , volume=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Advances in neural information processing systems , volume=

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.812219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba4fd107-1f6d-4719-9e68-1681dc3207e4 · outbound

This paper cites Advances in neural information processing systems , volume=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Advances in neural information processing systems , volume=

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.887581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df9dfe30-75cb-421d-9aa3-6b57b8d080bc · outbound

This paper cites COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.931187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a59a100-b319-49e4-a15c-c3632c901f6c · outbound

This paper cites International conference on machine learning , pages=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control International conference on machine learning , pages=

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:43.961083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 866e7b91-cd58-4b2b-a212-1903425b48c6 · outbound

This paper cites International conference on machine learning , pages=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control International conference on machine learning , pages=

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.014325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7de685ac-596f-42f6-8523-7251ead4d9af · outbound

This paper cites Never Give Up: Learning Directed Exploration Strategies.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Never Give Up: Learning Directed Exploration Strategies

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.053445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5fc1bad-1600-422a-b509-cbab437ef210 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Advances in Neural Information Processing Systems , volume=

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.059904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c938ee00-49a0-4d3f-9224-54bdcfd536ce · outbound

This paper cites MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.066449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a89cd13f-7dd9-4fb9-908d-3ed70fd1b6f9 · outbound

This paper cites nature , volume=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control nature , volume=

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.072332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d7635b6-8253-4f0e-a4db-b7e2aaba4979 · outbound

This paper cites Proceedings of the aaai conference on artificial intelligence , volume=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Proceedings of the aaai conference on artificial intelligence , volume=

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.078290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9715d7f-6d3d-4154-b07d-d133c6410890 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.084451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0787e997-171a-42a8-bbc5-fb5348ab050a · outbound

This paper cites SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.091692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a1f2ae1-7053-4aa4-8249-1cf7dd2ab0c7 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.098974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7848cbe-36cc-4fd7-b152-8a881c73140c · outbound

This paper cites Proceedings of Thirty Third Conference on Learning Theory , pages =.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Proceedings of Thirty Third Conference on Learning Theory , pages =

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.105270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ad6e267-1e30-4cd5-afe6-1f372f6bf4a4 · outbound

This paper cites Proceedings of Thirty Third Conference on Learning Theory , pages =.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Proceedings of Thirty Third Conference on Learning Theory , pages =

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.111469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1dac091-19f1-4d9f-935e-403de56169eb · outbound

This paper cites International conference on machine learning , pages=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control International conference on machine learning , pages=

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.117463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 481ad074-4492-4aec-af65-831112326ca8 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Advances in Neural Information Processing Systems , volume=

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.123263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7b6e6e6-1e94-46b4-8bd9-b07cfae3ea6e · outbound

This paper cites 2022 , url=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control 2022 , url=

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.133001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa9f190a-1632-4f81-a78a-6eedaf61126d · outbound

This paper cites International Conference on Learning Representations , year=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control International Conference on Learning Representations , year=

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.139018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7159aae7-50a7-4cca-8517-d2148e9c84d2 · outbound

This paper cites Proceedings of the 36th International Conference on Machine Learning , pages =.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Proceedings of the 36th International Conference on Machine Learning , pages =

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.146145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88b5cb1d-64b3-4d44-ac5b-b5468ef11ab0 · outbound

This paper cites Hyperspherical Normalization for Scalable Deep Reinforcement Learning.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Hyperspherical Normalization for Scalable Deep Reinforcement Learning

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.152418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7db6e75c-242c-4144-bafb-a2ad44777109 · outbound

This paper cites Advances in neural information processing systems , volume=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Advances in neural information processing systems , volume=

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.157720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae02036d-b966-4feb-a596-1ea638cd1e4e · outbound

This paper cites Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.162632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a694a16d-40ef-4fa2-a5a3-3939c02c198e · outbound

This paper cites Deep Transformer Q-Networks for Partially Observable Reinforcement Learning.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Deep Transformer Q-Networks for Partially Observable Reinforcement Learning

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.168393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f3d7c36-6692-421e-8af4-341ce0394667 · outbound

This paper cites Dual PatchNorm.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Dual PatchNorm

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.173965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e5d77ba-9bca-45a6-9596-99d4cc7545b6 · outbound

This paper cites Neural Networks: Tricks of the trade , pages=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Neural Networks: Tricks of the trade , pages=

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.179034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89892540-148f-41c9-8199-3c3757fef08d · outbound

This paper cites Advances in neural information processing systems , volume=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Advances in neural information processing systems , volume=

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.196180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 656a39ed-5baf-4ff7-ae54-47192e079f5f · outbound

This paper cites Neural computation , volume=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Neural computation , volume=

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.230892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eec08843-19a2-4d19-abf2-c7bcd0c556bc · outbound

This paper cites Proceedings of the IEEE international conference on computer vision , pages=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Proceedings of the IEEE international conference on computer vision , pages=

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.264251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a978f6a-975e-4358-b266-4072dd8a47da · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Advances in Neural Information Processing Systems , volume=

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.320932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c1560b4-eaec-41f4-9ffd-8313f288d136 · outbound

This paper cites an unresolved cited work.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Unresolved cited work

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.343414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 092922f2-095b-4ee8-8015-1802f4ca0e8c · outbound

This paper cites an unresolved cited work.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Unresolved cited work

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.397908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a6eba36-c76c-475c-baf8-4355bc403b0b · outbound

This paper cites Loss of Plasticity in Continual Deep Reinforcement Learning.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Loss of Plasticity in Continual Deep Reinforcement Learning

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.416722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3083b5e7-f1ff-4425-bf69-49df7a39c65b · outbound

This paper cites international conference on machine learning , pages=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control international conference on machine learning , pages=

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.422601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc5631e0-0328-4c37-8697-398b072ed5b0 · outbound

This paper cites What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.428924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1048067-a307-4dd2-aefb-2b27646ef0d1 · outbound

This paper cites an unresolved cited work.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Unresolved cited work

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.434101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac1316a7-b1ff-449e-87d7-9f2ebf58db65 · outbound

This paper cites Efficient Deep Reinforcement Learning Requires Regulating Overfitting.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Efficient Deep Reinforcement Learning Requires Regulating Overfitting

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.439522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48e6131f-5c0d-4be8-8b2f-04f73cc9ef8e · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control The Twelfth International Conference on Learning Representations , year=

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.446555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3621492d-7eb3-494d-ac9d-af93697f62c6 · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control The Eleventh International Conference on Learning Representations , year=

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.454142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e74d3c0f-1377-4b60-bc1c-b54ecebacb77 · outbound

This paper cites International Conference on Machine Learning , pages=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control International Conference on Machine Learning , pages=

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.459722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c078f70-f851-4f6d-ba70-56c10cbd7c74 · outbound

This paper cites Maintaining Plasticity in Continual Learning via Regenerative Regularization.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Maintaining Plasticity in Continual Learning via Regenerative Regularization

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.464619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1338b8b-881d-4944-bd49-7cc6e514922c · outbound

This paper cites Maintaining Plasticity in Deep Continual Learning.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Maintaining Plasticity in Deep Continual Learning

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.469730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a540b251-0436-4bb3-b40a-c6a3b011decd · outbound

This paper cites Directions of Curvature as an Explanation for Loss of Plasticity.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Directions of Curvature as an Explanation for Loss of Plasticity

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.475182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42e671c6-30d9-48c4-a982-7ee30ad37c4b · outbound

This paper cites Continual Learning as Computationally Constrained Reinforcement Learning.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Continual Learning as Computationally Constrained Reinforcement Learning

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.481432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b658bb8-0a54-45f2-bffb-f9ae7a1703dd · outbound

This paper cites Proceedings of the thirteenth international conference on artificial intelligence and statistics , pages=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Proceedings of the thirteenth international conference on artificial intelligence and statistics , pages=

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.487020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 939ebcf0-c446-41c6-addd-c322d521372b · outbound

This paper cites Fantastic Generalization Measures and Where to Find Them.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Fantastic Generalization Measures and Where to Find Them

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.492251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e431a621-eb13-49e9-b1ca-0682e4555641 · outbound

This paper cites International Conference on Machine Learning , pages=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control International Conference on Machine Learning , pages=

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.532328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03aa83d4-fd71-4c1d-b067-36639e57df63 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.565673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01a53970-1303-4af8-9233-dd8b5f0e2875 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.594067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0733bf70-d8c7-4548-952e-dc4d006018cb · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.632705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9b395ce-24c1-40c4-8e06-7e113214e74f · outbound

This paper cites GPT-4 Technical Report.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control GPT-4 Technical Report

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.662535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce4d376a-584b-4940-b510-3a5af02928f5 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Gemini: A Family of Highly Capable Multimodal Models

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.699620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 250fcb3d-91fb-4ccb-9fa3-0cf71b0967b9 · outbound

This paper cites 2009 , institution=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control 2009 , institution=

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.705590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11008eb8-e879-48f1-a295-7a029984a27e · outbound

This paper cites http://yann.lecun.com/exdb/mnist/ , year=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control http://yann.lecun.com/exdb/mnist/ , year=

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.710831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 171825c9-837a-4b80-bdd9-d3643d880535 · outbound

This paper cites Decoupled Weight Decay Regularization.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Decoupled Weight Decay Regularization

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.715365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57338cf0-9981-44cc-baf3-464c9f27ba0d · outbound

This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.721218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da8aa900-e90f-42fa-ae55-5bb26bb1c785 · outbound

This paper cites International conference on machine learning , pages=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control International conference on machine learning , pages=

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.726473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e41de224-c6e4-4d61-96a2-cfd42fd61d95 · outbound

This paper cites Layer Normalization.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Layer Normalization

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.731432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ee77a5a-2619-40d5-a0fd-0aa89e696a3b · outbound

This paper cites Resetting the Optimizer in Deep RL: An Empirical Study.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Resetting the Optimizer in Deep RL: An Empirical Study

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.737121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c087bb13-2e33-4eb3-9917-a72127cbb8a4 · outbound

This paper cites International conference on machine learning , pages=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control International conference on machine learning , pages=

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.743105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99a9f70a-aaba-457c-88c4-3832fdb5da5b · outbound

This paper cites International journal of computer vision , volume=.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control International journal of computer vision , volume=

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-12T00:48:44.749058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers