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Paper Citation Record · LEDGER

The Open Ant: A Robot Platform for Reinforcement Learning Research

As of 9 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 0 inbound Pith citation observations for arXiv:2607.18488.

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

pith.paper-citation-record.v1
2607.18488 v1

Coverage vector

measured 90 of 90 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:20:56.865176Z

measured 90 of 90 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

90 of 90 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved87
  • parse uncertain2
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c8abd960-81f4-49e5-b01b-22079b1945c3 · outbound

This paper cites 2018 , publisher=.

The Open Ant: A Robot Platform for Reinforcement Learning Research 2018 , publisher=

Reference 1

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source=arxiv_source observed=2026-08-01T15:20:52.660047Z digest=sha256:f1d3aab12520aae5ee37dc8bfd345cbd5d6109f2306770bc6ea232e01082c37a

Observation 49d02bf8-4c54-4ef5-9e61-023b86817aa8 · outbound

This paper cites Temporal difference learning and.

The Open Ant: A Robot Platform for Reinforcement Learning Research Temporal difference learning and

Reference 2

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source=arxiv_source observed=2026-08-01T15:20:52.748285Z digest=sha256:4db5401df4960bab22556ce9dbdaa5893494b91e537d8cab4abe88e00d633c4d

Observation 944eb06a-fb23-4329-b04c-dec8232eb34a · outbound

This paper cites Nature , volume=.

The Open Ant: A Robot Platform for Reinforcement Learning Research Nature , volume=

Reference 3

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source=arxiv_source observed=2026-08-01T15:20:52.855807Z digest=sha256:f84a54605d761e8d65963151a5cc175a1dc2dde760beb6752bd4319e6f3f9542

Observation 1947b968-f141-4aa4-9afa-eca3dd0a8a79 · outbound

This paper cites an unresolved cited work.

The Open Ant: A Robot Platform for Reinforcement Learning Research Unresolved cited work

Reference 4

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Observation 5b850354-5504-4826-882c-043eb7bd4546 · outbound

This paper cites , title =.

The Open Ant: A Robot Platform for Reinforcement Learning Research , title =

Reference 5

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source=arxiv_source observed=2026-08-01T15:20:52.986924Z digest=sha256:857f9f26029d7946ac7306ce6d544cea5ed280e727eeaede7d004c96d7d80417

Observation 83460b79-5399-47c0-885a-412f4b7e46b4 · outbound

This paper cites and Naddaf, Yavar and Veness, Joel and Bowling, Michael , journal=.

The Open Ant: A Robot Platform for Reinforcement Learning Research and Naddaf, Yavar and Veness, Joel and Bowling, Michael , journal=

Reference 6

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source=arxiv_source observed=2026-08-01T15:20:53.019736Z digest=sha256:ef9b3f09dadd19cb8e75c5f4fc3edd053c02ac676d3b9c46df9f359c78e6d83a

Observation ce6a2e34-8551-4350-aa35-8ee1239e2733 · outbound

This paper cites Mastering the game of.

The Open Ant: A Robot Platform for Reinforcement Learning Research Mastering the game of

Reference 7

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source=arxiv_source observed=2026-08-01T15:20:53.070740Z digest=sha256:664c669a7ec806db31b127ca860e7107cf31a7878ef7dc28842327ad41e4c4ee

Observation a4284f28-ef05-4253-979c-88003e906e6a · outbound

This paper cites 2025 , eprint=.

The Open Ant: A Robot Platform for Reinforcement Learning Research 2025 , eprint=

Reference 8

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source=arxiv_source observed=2026-08-01T15:20:53.238287Z digest=sha256:da460234464526b75dd35e9ae26102771dbffea7ac32e75d6a22530d7c2049e6

Observation de530681-5dac-43e8-a3df-db5cc989915c · outbound

This paper cites Nature , volume=.

The Open Ant: A Robot Platform for Reinforcement Learning Research Nature , volume=

Reference 9

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source=arxiv_source observed=2026-08-01T15:20:53.439441Z digest=sha256:d8ec60506ee87cae8ffa28f7d7053ac8ba3bfd8a8cb44ef6cf5ca637869f6477

Observation 34ea656e-3046-47d5-b7e7-8d6cb2927847 · outbound

This paper cites and Bellemare, Marc G.

The Open Ant: A Robot Platform for Reinforcement Learning Research and Bellemare, Marc G

Reference 10

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source=arxiv_source observed=2026-08-01T15:20:53.667832Z digest=sha256:1d54efc2f19977d01342c2e09af5266ebe32804f9957f497c2cf5ab78d9489cc

Observation d206bd32-6a12-4574-ae41-daaced2747cf · outbound

This paper cites an unresolved cited work.

The Open Ant: A Robot Platform for Reinforcement Learning Research Unresolved cited work

Reference 11

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source=arxiv_source observed=2026-08-01T15:20:53.833048Z digest=sha256:72f250aa0573862c3fe24c287f40f92961f73d3cccdb1a80addf2aac58c71828

Observation 54dc2ef5-efa6-492a-a0d8-709e9e1c5d9d · outbound

This paper cites and Sutton, Richard S.

The Open Ant: A Robot Platform for Reinforcement Learning Research and Sutton, Richard S

Reference 12

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source=arxiv_source observed=2026-08-01T15:20:54.050525Z digest=sha256:ee7de581984b6585c270ab0f7d450db222f50affbc944daa28138fe6b4f72d19

Observation 8ce36c8a-8949-49ed-91b4-a7101fef9913 · outbound

This paper cites Journal of Neuroscience , volume=.

The Open Ant: A Robot Platform for Reinforcement Learning Research Journal of Neuroscience , volume=

Reference 13

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source=arxiv_source observed=2026-08-01T15:20:54.130439Z digest=sha256:612a709ff173e6f0855c7287cc0dc86d39950fc4a536e88397298040d021331d

Observation dc3f4b07-e96b-4601-b2c4-7403ae255ab8 · outbound

This paper cites Science , volume=.

The Open Ant: A Robot Platform for Reinforcement Learning Research Science , volume=

Reference 14

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source=arxiv_source observed=2026-08-01T15:20:54.134905Z digest=sha256:d8952b714b21acea5b0981dc267fcacdaec6ba121bff49837223588b754f8212

Observation e46796c4-9009-4f3c-ad80-92d89e1ea939 · outbound

This paper cites and Adams, James L.

The Open Ant: A Robot Platform for Reinforcement Learning Research and Adams, James L

Reference 15

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Observation 4f57d490-e4f6-43f6-8f45-fb51543b299c · outbound

This paper cites AAAI , pages=.

The Open Ant: A Robot Platform for Reinforcement Learning Research AAAI , pages=

Reference 16

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Observation 0bc300e6-b690-4bce-b5e8-8d63e76fa176 · outbound

This paper cites Sebastian , booktitle=.

The Open Ant: A Robot Platform for Reinforcement Learning Research Sebastian , booktitle=

Reference 17

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source=arxiv_source observed=2026-08-01T15:20:54.286703Z digest=sha256:d45dc5f2f0ea6a527e65e601afd6b84a519741dfcc31b8667a8f113a49691d2c

Observation 01c4c62a-cd34-4ce7-8146-877c2aa10aa9 · outbound

This paper cites an unresolved cited work.

The Open Ant: A Robot Platform for Reinforcement Learning Research Unresolved cited work

Reference 18

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Observation d20ca232-d9be-4b09-9e86-f378de898f71 · outbound

This paper cites Conference on Robot Learning , pages=.

The Open Ant: A Robot Platform for Reinforcement Learning Research Conference on Robot Learning , pages=

Reference 19

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Observation 6065ec00-821a-4e33-bc89-7266386c3c50 · outbound

This paper cites an unresolved cited work.

The Open Ant: A Robot Platform for Reinforcement Learning Research Unresolved cited work

Reference 20

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Observation 4bdc68ce-f826-4364-b899-29429cebd2eb · outbound

This paper cites and others , journal=.

The Open Ant: A Robot Platform for Reinforcement Learning Research and others , journal=

Reference 21

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Observation 11d717b9-1be7-4767-b476-1639a7c23b2a · outbound

This paper cites The 10th International Conference on Autonomous Agents and Multiagent Systems-Volume 2 , pages=.

The Open Ant: A Robot Platform for Reinforcement Learning Research The 10th International Conference on Autonomous Agents and Multiagent Systems-Volume 2 , pages=

Reference 22

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Observation fe39944e-52f6-429f-8d7b-c2d6c224a18d · outbound

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The Open Ant: A Robot Platform for Reinforcement Learning Research , booktitle=

Reference 23

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Observation a886ff65-5379-44e1-9f00-19777150e900 · outbound

This paper cites an unresolved cited work.

The Open Ant: A Robot Platform for Reinforcement Learning Research Unresolved cited work

Reference 24

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source=arxiv_source observed=2026-08-01T15:20:54.610297Z digest=sha256:71665b7ab0734e63f880da366138bc065304ea61ff106233882f39269460fbb1

Observation 81e92fea-354b-4d50-8f31-d505bf224b89 · outbound

This paper cites The International Journal of Robotics Research , volume=.

The Open Ant: A Robot Platform for Reinforcement Learning Research The International Journal of Robotics Research , volume=

Reference 25

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Observation 4dca98ab-d36b-4ffd-bed9-5b448f3b8bb7 · outbound

This paper cites From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence.

The Open Ant: A Robot Platform for Reinforcement Learning Research From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence

Reference 26

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Observation 8fd735e5-096c-41e2-824f-9023ceec194e · outbound

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

The Open Ant: A Robot Platform for Reinforcement Learning Research International Conference on Machine Learning , pages=

Reference 27

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Observation 8d8be94c-3d92-4abb-9b61-085e67e5c458 · outbound

This paper cites Brush-Type.

The Open Ant: A Robot Platform for Reinforcement Learning Research Brush-Type

Reference 28

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Observation 2dadc70f-814f-4b83-886f-023a4d8929fa · outbound

This paper cites An application of.

The Open Ant: A Robot Platform for Reinforcement Learning Research An application of

Reference 29

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Observation 023112fb-e3a2-44e9-a74d-4908b28e2190 · outbound

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The Open Ant: A Robot Platform for Reinforcement Learning Research Proceedings 2001 ICRA

Reference 30

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Observation 82e60043-ffc2-4f2b-99d7-9874fede784a · outbound

This paper cites , journal=.

The Open Ant: A Robot Platform for Reinforcement Learning Research , journal=

Reference 31

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Observation 59fe0a26-bb14-4413-ac0c-7251ed0ae781 · outbound

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The Open Ant: A Robot Platform for Reinforcement Learning Research 2019 , journal=

Reference 32

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Observation 290e2ec8-ecb8-49ae-8861-7b39cfb09996 · outbound

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

The Open Ant: A Robot Platform for Reinforcement Learning Research International conference on machine learning , pages=

Reference 33

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source=arxiv_source observed=2026-08-01T15:20:55.119084Z digest=sha256:b87eacfad6e530abb723331a72982103ce8fa6014ebab4bfa46af5e7e023725e

Observation 77956805-f609-467b-9333-99b03baf1e5e · outbound

This paper cites and Silver, David , year=.

The Open Ant: A Robot Platform for Reinforcement Learning Research and Silver, David , year=

Reference 34

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Observation 7e9627c7-f597-41d7-93e0-b401be7098e7 · outbound

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The Open Ant: A Robot Platform for Reinforcement Learning Research 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems , pages=

Reference 35

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Observation eba27076-2c0f-4970-860d-cbb8541ec752 · outbound

This paper cites Sutton and Marlos C.

The Open Ant: A Robot Platform for Reinforcement Learning Research Sutton and Marlos C

Reference 36

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Observation 68b47fd9-2d5f-4f2d-9b8b-533e4c0b6754 · outbound

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The Open Ant: A Robot Platform for Reinforcement Learning Research International Conference on Robotics and Automation , pages=

Reference 37

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Observation 646feddd-52b2-4929-ba2a-d38d37de49d4 · outbound

This paper cites Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning , doi =.

The Open Ant: A Robot Platform for Reinforcement Learning Research Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning , doi =

Reference 38

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Observation 09ce6522-890d-4d26-8612-27f4b38c08ab · outbound

This paper cites Science Robotics , volume =.

The Open Ant: A Robot Platform for Reinforcement Learning Research Science Robotics , volume =

Reference 39

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source=arxiv_source observed=2026-08-01T15:20:55.519719Z digest=sha256:dcdbb3cdb60d585d7024a87eda1cab0b7a6d5bf829d3f3e00092af24af4371af

Observation 3759b0b2-b90e-491f-b49d-1aa780746fee · outbound

This paper cites Journal of Machine Learning Research , year =.

The Open Ant: A Robot Platform for Reinforcement Learning Research Journal of Machine Learning Research , year =

Reference 40

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Observation fbbc621e-4931-4246-a816-f877023616da · outbound

This paper cites an unresolved cited work.

The Open Ant: A Robot Platform for Reinforcement Learning Research Unresolved cited work

Reference 41

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source=arxiv_source observed=2026-08-01T15:20:55.614930Z digest=sha256:68c13b07822d6b78a3ac1552d8932452d59bb770c6c4ec64ec252a8999bd67a2

Observation 856fbe1c-6e93-4ebb-9946-3b892695d728 · outbound

This paper cites Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.

The Open Ant: A Robot Platform for Reinforcement Learning Research Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Reference 42

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source=arxiv_source observed=2026-08-01T15:20:55.663330Z digest=sha256:9302ee5bb18f0d960010ade69c9cc5ccd9fb9a95a9bd80ab92dda2eaa992e931

Observation 736a5f02-cfa7-463d-a5da-b5d3a178f42c · outbound

This paper cites and Li, Weiping , year =.

The Open Ant: A Robot Platform for Reinforcement Learning Research and Li, Weiping , year =

Reference 43

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source=arxiv_source observed=2026-08-01T15:20:55.709653Z digest=sha256:03d5320cb0841185ebaf5cc743909e854c895d0fa0154e6e98ae16de686ef8dc

Observation f14a38df-033c-4076-aaaa-d23df13eef14 · outbound

This paper cites 1996 , publisher=.

The Open Ant: A Robot Platform for Reinforcement Learning Research 1996 , publisher=

Reference 44

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source=arxiv_source observed=2026-08-01T15:20:55.756139Z digest=sha256:8e3cbf590d13e4842042d410d1f1e0a9fff524b67e3d6f968c2775c0817c268a

Observation 27707464-f7cd-421d-81b5-db1ef6652629 · outbound

This paper cites 1995 , publisher=.

The Open Ant: A Robot Platform for Reinforcement Learning Research 1995 , publisher=

Reference 45

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source=arxiv_source observed=2026-08-01T15:20:55.788793Z digest=sha256:011f3b8f11f4e308728c7a97cd1164f0ab400024e914c88b4769ab44ec207c3c

Observation f4e51dce-529f-4a8f-9953-3a028f4f385a · outbound

This paper cites 2012 , publisher=.

The Open Ant: A Robot Platform for Reinforcement Learning Research 2012 , publisher=

Reference 46

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source=arxiv_source observed=2026-08-01T15:20:55.818575Z digest=sha256:929314338edb1f7720bd81afb03357e6cc864ceeae72f8e98c79ab5822a5d738

Observation 5485990e-cfc1-4eb9-b2ac-447907331ed6 · outbound

This paper cites and Alindogan, Jedidiah and Anderson, Matthew and Chung, Soon-Jo , journal=.

The Open Ant: A Robot Platform for Reinforcement Learning Research and Alindogan, Jedidiah and Anderson, Matthew and Chung, Soon-Jo , journal=

Reference 47

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source=arxiv_source observed=2026-08-01T15:20:55.853568Z digest=sha256:db33e1a01d4fb20bc255e2a128bde6fde561673ac7948a669fd473be9d40dbe1

Observation 5c8c0d25-2b19-4317-808d-4c1137598d96 · outbound

This paper cites doi:10.1126/scirobotics.abm6597 , url =.

The Open Ant: A Robot Platform for Reinforcement Learning Research doi:10.1126/scirobotics.abm6597 , url =

Reference 48

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source=arxiv_source observed=2026-08-01T15:20:55.897222Z digest=sha256:8ce4b484e5a2e2a28661f28a7cc7f056e46359dd38e977c744a6efb46af34865

Observation e57b6e17-75c7-441f-8a62-7c7416f1027e · outbound

This paper cites 2022 , eprint=.

The Open Ant: A Robot Platform for Reinforcement Learning Research 2022 , eprint=

Reference 49

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source=arxiv_source observed=2026-08-01T15:20:55.942806Z digest=sha256:66901065695e862056b7743f1b50154ecd8ad21d87c813ae45555d153c45469a

Observation bcbba763-0dad-447d-928c-d5b57e5476f7 · outbound

This paper cites RealAnt: An Open-Source Low-Cost Quadruped for Education and Research in Real-World Reinforcement Learning.

The Open Ant: A Robot Platform for Reinforcement Learning Research RealAnt: An Open-Source Low-Cost Quadruped for Education and Research in Real-World Reinforcement Learning

Reference 50

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source=arxiv_source observed=2026-08-01T15:20:55.979436Z digest=sha256:4eab0cbece87cd4eae259f33a5c2f967f699e80f98a48474277ea1878238b46e

Observation d7ccb2e4-3f79-4cba-85d5-3ccae893b3cc · outbound

This paper cites Nature Machine Intelligence , volume=.

The Open Ant: A Robot Platform for Reinforcement Learning Research Nature Machine Intelligence , volume=

Reference 51

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source=arxiv_source observed=2026-08-01T15:20:56.023606Z digest=sha256:496ac20322779f9b2634d87abeba102321b90debac4fb0895d47f02322311b16

Observation aaf6253c-85f5-4634-af78-713a663adce3 · outbound

This paper cites 2025 , month =.

The Open Ant: A Robot Platform for Reinforcement Learning Research 2025 , month =

Reference 52

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source=arxiv_source observed=2026-08-01T15:20:56.064759Z digest=sha256:266880103ad168566cea628495179abb6d52c942a1448e191d73895a955b6285

Observation 02bbc078-8524-4373-9494-e1cb08126197 · outbound

This paper cites Policy gradient reinforcement learning for fast quadrupedal locomotion , year=.

The Open Ant: A Robot Platform for Reinforcement Learning Research Policy gradient reinforcement learning for fast quadrupedal locomotion , year=

Reference 53

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source=arxiv_source observed=2026-08-01T15:20:56.123146Z digest=sha256:bb7d1ae5cfdbbb265fac2200bed8940c870073e414a4da897b180f2b9fe86079

Observation 8e275e34-cff9-4141-983d-41d433d1cbfd · outbound

This paper cites Nature , volume =.

The Open Ant: A Robot Platform for Reinforcement Learning Research Nature , volume =

Reference 54

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source=arxiv_source observed=2026-08-01T15:20:56.157693Z digest=sha256:81a020cdf7d48366152c2294a0db22739ab6f935f8041bb79173fde7080e7d7e

Observation bc04d6c7-125b-4e47-a283-720e4d12ee8f · outbound

This paper cites Jordan and Pieter Abbeel , journal=.

The Open Ant: A Robot Platform for Reinforcement Learning Research Jordan and Pieter Abbeel , journal=

Reference 55

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source=arxiv_source observed=2026-08-01T15:20:56.181377Z digest=sha256:4546d0e7719817169d7b8550ab9e20cec3b7e377cd7469bac8698385e8c9759a

Observation a3af842d-715d-49ec-9b41-75fe9bc1de2d · outbound

This paper cites an unresolved cited work.

The Open Ant: A Robot Platform for Reinforcement Learning Research Unresolved cited work

Reference 56

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source=arxiv_source observed=2026-08-01T15:20:56.197511Z digest=sha256:787c3fa4dce1bbca5180933b4a20de637e867fed6d73abe31463fd7e113ac397

Observation 2666696f-dda6-4621-be9c-2e0a6c049039 · outbound

This paper cites Sutton and Doina Precup and Satinder Singh , keywords =.

The Open Ant: A Robot Platform for Reinforcement Learning Research Sutton and Doina Precup and Satinder Singh , keywords =

Reference 57

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source=arxiv_source observed=2026-08-01T15:20:56.280081Z digest=sha256:c1bbb6f667c275f52972455a1dd5da1edab381553075e23046d853cb6df395a1

Observation 3152fa41-cff6-4434-8010-f20a75caeed2 · outbound

This paper cites an unresolved cited work.

The Open Ant: A Robot Platform for Reinforcement Learning Research Unresolved cited work

Reference 58

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source=arxiv_source observed=2026-08-01T15:20:56.436056Z digest=sha256:da28a264b42c322d4e933a63158c4ef0e210374747f61ab252ec2ebb55c60548

Observation 7f88acf9-2726-4dc5-bff2-b726fd428e91 · outbound

This paper cites Temporal Difference Learning for.

The Open Ant: A Robot Platform for Reinforcement Learning Research Temporal Difference Learning for

Reference 59

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source=arxiv_source observed=2026-08-01T15:20:56.477222Z digest=sha256:f308b9d1921d29332373987f1459d1024ea91a84a47c91a95de9488ba33cc8a0

Observation c7cf4a96-0bd4-4ef6-a44d-5cc4ebe2a510 · outbound

This paper cites an unresolved cited work.

The Open Ant: A Robot Platform for Reinforcement Learning Research Unresolved cited work

Reference 60

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source=arxiv_source observed=2026-08-01T15:20:56.518636Z digest=sha256:a41516ca7767cadbbabacd8c986856c9fbacc105f640178d3fa2033291a75557

Observation d3ef6394-10d2-4b79-a2ae-a84744bf964a · outbound

This paper cites 2024 , howpublished =.

The Open Ant: A Robot Platform for Reinforcement Learning Research 2024 , howpublished =

Reference 61

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source=arxiv_source observed=2026-08-01T15:20:56.563926Z digest=sha256:eb83626d5de4cfd0882a6d620b2c2905a93db8d5bcd707919a63934484344352

Observation 5a645bc7-2ed7-428f-a64d-fa8b14ce47d8 · outbound

This paper cites and Honig, Wolfgang and Sukhatme, Gaurav S.

The Open Ant: A Robot Platform for Reinforcement Learning Research and Honig, Wolfgang and Sukhatme, Gaurav S

Reference 62

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source=arxiv_source observed=2026-08-01T15:20:56.618650Z digest=sha256:fd8331fe83bd57d752fddf0c532df9ddfe7744ca758830a9bc20ed7048e7ae9a

Observation 5edc5fe3-c572-4b39-af8b-7231e33fac65 · outbound

This paper cites 2025 , eprint=.

The Open Ant: A Robot Platform for Reinforcement Learning Research 2025 , eprint=

Reference 63

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source=arxiv_source observed=2026-08-01T15:20:56.624427Z digest=sha256:3bce636c3f26da6e802da25c39dfb7741cb9fbb1347a73b975c081bd32c621f8

Observation 3284bf59-13c9-40ae-8d1c-12b38cc461cf · outbound

This paper cites 2016 , eprint=.

The Open Ant: A Robot Platform for Reinforcement Learning Research 2016 , eprint=

Reference 64

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source=arxiv_source observed=2026-08-01T15:20:56.720140Z digest=sha256:f72785c260c05f1f8548d6ec6d3845d479879fba5b8f9bd4d7a648cf7c738f36

Observation 133d5617-bc32-4884-8340-cd4940bb706c · outbound

This paper cites Science Robotics , volume =.

The Open Ant: A Robot Platform for Reinforcement Learning Research Science Robotics , volume =

Reference 65

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source=arxiv_source observed=2026-08-01T15:20:56.768914Z digest=sha256:cb5f61202ab2ab7c18eff62a45a26fbb10118ac1d92cf986afde363fa8313108

Observation 61a7bdaf-41e7-4df7-9c74-6efed0e720cb · outbound

This paper cites The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web] , year=.

The Open Ant: A Robot Platform for Reinforcement Learning Research The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web] , year=

Reference 66

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source=arxiv_source observed=2026-08-01T15:20:56.785137Z digest=sha256:fcb39749548d72b8ea41ab537d3d87152390b8811943200a98ad88b6766d54b9

Observation c2c6972f-fb82-4374-9ee8-a8da90b24f70 · outbound

This paper cites Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , pages =.

The Open Ant: A Robot Platform for Reinforcement Learning Research Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , pages =

Reference 67

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source=arxiv_source observed=2026-08-01T15:20:56.795416Z digest=sha256:1f583a75f28b4095e075328828bc2365e4437d81c274cd6e0bf9d2a61ffef8fb

Observation 27b45253-6f6e-4fad-9323-dc9f0e5e9982 · outbound

This paper cites an unresolved cited work.

The Open Ant: A Robot Platform for Reinforcement Learning Research Unresolved cited work

Reference 68

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source=arxiv_source observed=2026-08-01T15:20:56.799588Z digest=sha256:fbf7861f5f4ef55b66db94c23c18b004d6066afb56dcd0cae5d64c4cf28168ce

Observation dfb3df13-25e0-4256-827f-625504fb9a42 · outbound

This paper cites 2018 , eprint=.

The Open Ant: A Robot Platform for Reinforcement Learning Research 2018 , eprint=

Reference 69

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source=arxiv_source observed=2026-08-01T15:20:56.802416Z digest=sha256:78f8efcacdcb398aff10099c0208761a3e3f1ef4cc7e6e04d174892cb871dc9b

Observation 6973dec4-4e5c-427a-8cee-e344a69eaaca · outbound

This paper cites Benchmarking Reinforcement Learning Algorithms on Real-World Robots.

The Open Ant: A Robot Platform for Reinforcement Learning Research Benchmarking Reinforcement Learning Algorithms on Real-World Robots

Reference 70

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source=arxiv_source observed=2026-08-01T15:20:56.805569Z digest=sha256:045115df44218c53a65650546d45ba24edb2603ef1e2a10a072f24b4cd38e424

Observation 137efd56-9ab6-4397-a2c7-faf64da800a4 · outbound

This paper cites Learning From Delayed Rewards , url =.

The Open Ant: A Robot Platform for Reinforcement Learning Research Learning From Delayed Rewards , url =

Reference 71

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source=arxiv_source observed=2026-08-01T15:20:56.809331Z digest=sha256:03e72f8020330a79df3329eb91f4769d4c223bec8eba87a9b672db720ffc1391

Observation 6d4729cd-e67e-4e95-8f4b-27ea7632b55d · outbound

This paper cites 2024 , eprint=.

The Open Ant: A Robot Platform for Reinforcement Learning Research 2024 , eprint=

Reference 72

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source=arxiv_source observed=2026-08-01T15:20:56.811920Z digest=sha256:aa706665422a5c2e188fd75ccce4b81ee6a14421b2f90c6c8a37d60bc04f25aa

Observation 930e57c3-be50-4f58-b836-932aa9886974 · outbound

This paper cites Sutton , title =.

The Open Ant: A Robot Platform for Reinforcement Learning Research Sutton , title =

Reference 73

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source=arxiv_source observed=2026-08-01T15:20:56.814769Z digest=sha256:4e798db7924bd5411ff4fc9b861c0ced0f2f000847483ca9c9ec8c5b6c5bc4de

Observation abcae0db-5530-4c3d-9588-00288afce78e · outbound

This paper cites 2025 , howpublished =.

The Open Ant: A Robot Platform for Reinforcement Learning Research 2025 , howpublished =

Reference 74

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source=arxiv_source observed=2026-08-01T15:20:56.817529Z digest=sha256:35be3eeed27a5bfa3be50cdcfdfb041fd0f2cd12faa668c31f8f69384f398122

Observation c0aa1d58-9734-4f5b-b8f2-9c717d5ed346 · outbound

This paper cites Action Space Design in Reinforcement Learning for Robot Motor Skills , booktitle =.

The Open Ant: A Robot Platform for Reinforcement Learning Research Action Space Design in Reinforcement Learning for Robot Motor Skills , booktitle =

Reference 75

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source=arxiv_source observed=2026-08-01T15:20:56.820494Z digest=sha256:e29f2a6bcbd458f612fb5c6a49c40def205efdf63c97bfa739809cefc716a0e3

Observation 719f8f1a-74f8-4594-93f8-425c1a7bff99 · outbound

This paper cites Ecological Reinforcement Learning.

The Open Ant: A Robot Platform for Reinforcement Learning Research Ecological Reinforcement Learning

Reference 76

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source=arxiv_source observed=2026-08-01T15:20:56.823221Z digest=sha256:303551274cb5c22ef8e20ef2d1006f47934ee2866c44fef2f944129bb754059a

Observation e0a30d5a-4a80-4a67-94d1-99faf60b2f6a · outbound

This paper cites Residual Policy Learning.

The Open Ant: A Robot Platform for Reinforcement Learning Research Residual Policy Learning

Reference 77

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source=arxiv_source observed=2026-08-01T15:20:56.826781Z digest=sha256:9f583bf46092de2181d93b06f51ad96ad196ac8416ee067028cd7d002805633e

Observation d06bc4b6-2b11-4791-93ee-6a0011110dfa · outbound

This paper cites Transactions of the ASME Journal of Dynamic Systems , url =.

The Open Ant: A Robot Platform for Reinforcement Learning Research Transactions of the ASME Journal of Dynamic Systems , url =

Reference 78

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source=arxiv_source observed=2026-08-01T15:20:56.830238Z digest=sha256:9b141ad9987c4686eabdd90e03d046919ff82b3191052bba82f01ea7f2ccda06

Observation 583f9e14-f20e-439f-a2ba-4401011cf393 · outbound

This paper cites Generalization in Reinforcement Learning: Successful Examples Using Sparse Coarse Coding , url =.

The Open Ant: A Robot Platform for Reinforcement Learning Research Generalization in Reinforcement Learning: Successful Examples Using Sparse Coarse Coding , url =

Reference 79

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source=arxiv_source observed=2026-08-01T15:20:56.833600Z digest=sha256:597171a8e559726acb21827b8ef1f762953e4f2111944232ab46c0146d4a869f

Observation 11229eca-f123-4e48-91c7-218f782ca624 · outbound

This paper cites Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World.

The Open Ant: A Robot Platform for Reinforcement Learning Research Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World

Reference 80

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source=arxiv_source observed=2026-08-01T15:20:56.836530Z digest=sha256:0879a379b71ac85a6d912a03fb86a3786767b0fe8dc57ca1bbc05dbb24a69bd3

Observation 3b08f251-5764-4b4e-a8c3-b49474c53068 · outbound

This paper cites 2024 , eprint=.

The Open Ant: A Robot Platform for Reinforcement Learning Research 2024 , eprint=

Reference 81

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source=arxiv_source observed=2026-08-01T15:20:56.839668Z digest=sha256:4de8597cbfd33b79c55cfb0f47dfaab6a2d8ec781388c87703da840ed9ee53bb

Observation 510ca504-c93d-4232-9952-b7b4c4347c2f · outbound

This paper cites 2023 , eprint=.

The Open Ant: A Robot Platform for Reinforcement Learning Research 2023 , eprint=

Reference 82

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source=arxiv_source observed=2026-08-01T15:20:56.842782Z digest=sha256:6eccec6bd08cbf3b7784071d3e5478a880023d754e9ae53efcf9bfb186fb76ce

Observation 0069de88-dd93-466c-bf52-1df5b9e916c7 · outbound

This paper cites IEEE Transactions on Robotics , month = jan, pages =.

The Open Ant: A Robot Platform for Reinforcement Learning Research IEEE Transactions on Robotics , month = jan, pages =

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-01T15:20:56.845694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:20:56.845694Z digest=sha256:4b7c2066161a92f3d84e7bf920935d8638b5074958661546c022626bc52f49a9

Observation 07f7da2b-e863-4a14-bf21-7678ef7ae70e · outbound

This paper cites 2020 IEEE International Conference on Robotics and Automation (ICRA) , year =.

The Open Ant: A Robot Platform for Reinforcement Learning Research 2020 IEEE International Conference on Robotics and Automation (ICRA) , year =

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-01T15:20:56.848463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:20:56.848463Z digest=sha256:6339dbcae490c598c365a1dc9111745a1bcde5f5ae97e22818b571907c862f58

Observation 34bb976e-a373-4e94-8aeb-ff57646e406f · outbound

This paper cites and Korenkevych, Dmytro and Komer, Brent J.

The Open Ant: A Robot Platform for Reinforcement Learning Research and Korenkevych, Dmytro and Komer, Brent J

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-01T15:20:56.851492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:20:56.851492Z digest=sha256:69c71aa3fc59faada524804ad1951e15675d970c640678daf8bf5d8723ce6900

Observation 9ab949ce-dbbd-4de3-8b2d-ac0a26cf853d · outbound

This paper cites Rupam , title =.

The Open Ant: A Robot Platform for Reinforcement Learning Research Rupam , title =

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-01T15:20:56.854146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:20:56.854146Z digest=sha256:4b1bb2ea068d0005b5682119cca3fc18e3cf3a9758b27111cd1d198e82f7a39c

Observation 22a6885c-b819-482c-b283-9bc1c5e99d13 · outbound

This paper cites Proceedings of The 4th Conference on Lifelong Learning Agents , pages =.

The Open Ant: A Robot Platform for Reinforcement Learning Research Proceedings of The 4th Conference on Lifelong Learning Agents , pages =

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-01T15:20:56.856856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:20:56.856856Z digest=sha256:b8453edf6b29d51b4879ff44c0ff9a40aa6c67763d0a1b694072613a3e3fbf46

Observation 3eb24fe5-9025-4adf-a5f6-a2feac53fac4 · outbound

This paper cites Science Robotics , volume =.

The Open Ant: A Robot Platform for Reinforcement Learning Research Science Robotics , volume =

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-01T15:20:56.859626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:20:56.859626Z digest=sha256:a487ce74896e7aaa91f5ea61d3a12bfbe297096f948caeac7cb7a72ad61c1f49

Observation 3e4d8cf4-9966-4dc1-82ba-a91936fbfd18 · outbound

This paper cites Science , volume =.

The Open Ant: A Robot Platform for Reinforcement Learning Research Science , volume =

Reference 89

Resolution
verified exact
doi, observed 2026-08-01T15:24:06.384914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-01T15:20:56.862317Z digest=sha256:e36cebd1bdd7feede6ad3ea1634fd52a18f85c71a6114cec4f3d58af8c841c44

Observation 9bc6223e-d48c-459b-876b-8eaae10e4310 · outbound

This paper cites and Doleac, J.S.

The Open Ant: A Robot Platform for Reinforcement Learning Research and Doleac, J.S

Reference 90

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unresolved
no resolver link, observed 2026-08-01T15:20:56.865176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:20:56.865176Z digest=sha256:80868eed360cd8d7114ff0ff42c64c8ec2815fedef32a7627eae879e5b3d92ce

Pith citing papers

No inbound Pith citation observations are available.