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Paper Citation Record · LEDGER

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning

As of 10 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 0 inbound Pith citation observations for arXiv:2607.16534.

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

pith.paper-citation-record.v1
2607.16534 v1

Coverage vector

measured 74 of 74 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T20:46:09.481155Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

74 of 74 outbound references displayed

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  • verified fuzzy0
  • unresolved71
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 52e22411-80f6-48bc-a07d-ffbcaa7f1dfb · outbound

This paper cites Journal of Building Performance Simulation , volume =.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Journal of Building Performance Simulation , volume =

Reference 1

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Observation 1f700084-6e20-4e76-b827-d3589701cbf5 · outbound

This paper cites Energy and Buildings , volume =.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Energy and Buildings , volume =

Reference 2

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Observation 35dceb86-b05e-4538-9220-ffe6b31cb937 · outbound

This paper cites 2025 , eprint=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning 2025 , eprint=

Reference 3

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Observation d273618a-bd2b-4547-a55d-b73a6bad1611 · outbound

This paper cites Araújo , title =.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Araújo , title =

Reference 4

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Observation d948f897-3a99-4c45-9557-b2340a56c23a · outbound

This paper cites IEA World Energy Outlook report 2022 , howpublished =.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning IEA World Energy Outlook report 2022 , howpublished =

Reference 5

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Observation fc1fe3b1-6efd-43e1-8e35-92c36cda2e03 · outbound

This paper cites A practical deep reinforcement learning framework for multivariate occupant-centric control in buildings , journal =.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning A practical deep reinforcement learning framework for multivariate occupant-centric control in buildings , journal =

Reference 6

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Observation 1a01ace9-da50-4d95-9337-a7a5282755c2 · outbound

This paper cites Reinforcement Learning Testbed for Power-Consumption Optimization.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Reinforcement Learning Testbed for Power-Consumption Optimization

Reference 7

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Observation 1cd77ec4-4538-41e1-afbf-51c0154a6ca9 · outbound

This paper cites and Adams, Mark and Bass, Brett and Berres, Anne and Clinton, Nicholas , title =.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning and Adams, Mark and Bass, Brett and Berres, Anne and Clinton, Nicholas , title =

Reference 8

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Observation 7b521735-feb6-4a8f-95bf-8bc10b6556ea · outbound

This paper cites Journal of Building Performance Simulation , volume =.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Journal of Building Performance Simulation , volume =

Reference 9

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Observation 45de5d22-d1e7-4099-b33b-ca4d8fd77ad0 · outbound

This paper cites Applied Sciences , VOLUME =.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Applied Sciences , VOLUME =

Reference 10

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Observation 4656d073-c7d0-40d9-9407-1088629fee42 · outbound

This paper cites GitHub repository , howpublished =.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning GitHub repository , howpublished =

Reference 11

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Observation 7d855f7b-8605-4e07-a114-681dc12948d1 · outbound

This paper cites 2024 , eprint=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning 2024 , eprint=

Reference 12

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Observation a7666df3-91ab-4724-8e56-e8608cc156f2 · outbound

This paper cites Automatic building energy model development and debugging using large language models agentic workflow , journal =.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Automatic building energy model development and debugging using large language models agentic workflow , journal =

Reference 13

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Observation df3f80b3-87ad-4b6b-884c-657be5138cb8 · outbound

This paper cites Applied Energy , volume=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Applied Energy , volume=

Reference 14

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This paper cites Energies , volume=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Energies , volume=

Reference 15

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Observation c7753c54-5512-4a85-989d-a66da9c586ce · outbound

This paper cites Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS) , year=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS) , year=

Reference 16

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Observation f1d12fdc-7773-4a6f-a81d-108f49df5614 · outbound

This paper cites Enhancing HVAC control systems through transfer learning with deep reinforcement learning agents , journal =.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Enhancing HVAC control systems through transfer learning with deep reinforcement learning agents , journal =

Reference 17

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Observation ce6e7bb1-88d2-4218-9476-922dae057442 · outbound

This paper cites One for Many: Transfer Learning for Building HVAC Control.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning One for Many: Transfer Learning for Building HVAC Control

Reference 18

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Observation 9dd981ca-afb2-4fc4-ae90-a4773acc30c1 · outbound

This paper cites Building Simulation , volume=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Building Simulation , volume=

Reference 19

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Observation 797ddd62-969f-49cd-96f9-ef727c51b65f · outbound

This paper cites Continual Reinforcement Learning for HVAC Systems Control: Integrating Hypernetworks and Transfer Learning.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Continual Reinforcement Learning for HVAC Systems Control: Integrating Hypernetworks and Transfer Learning

Reference 20

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Observation 6aa248a5-1f2c-43ef-bcbb-6ce946887791 · outbound

This paper cites arXiv preprint arXiv:2503.05022 , year=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning arXiv preprint arXiv:2503.05022 , year=

Reference 21

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Observation 9a2cbecd-707a-4519-ba77-195c6e70f3a0 · outbound

This paper cites Thirty-seventh Conference on Neural Information Processing Systems , year=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Thirty-seventh Conference on Neural Information Processing Systems , year=

Reference 22

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Observation 85f21ac2-f86c-4153-a291-9799a6a02804 · outbound

This paper cites An Enhanced Adaptivity of Reinforcement Learning-Based Temperature Control in Buildings Using Generalized Training , year=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning An Enhanced Adaptivity of Reinforcement Learning-Based Temperature Control in Buildings Using Generalized Training , year=

Reference 23

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Observation d3a06299-6e46-4130-9f53-51f127944f80 · outbound

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

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning International Conference on Learning Representations , year=

Reference 24

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Observation cff5bf65-a3eb-4031-b66c-6bd1ccdb8b86 · outbound

This paper cites 2025 , url=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning 2025 , url=

Reference 25

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Observation df0b9c0e-3324-40dd-b4cc-ef46a0aab58d · outbound

This paper cites Successor Features for Transfer in Reinforcement Learning , url =.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Successor Features for Transfer in Reinforcement Learning , url =

Reference 26

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Observation 3ccfa64e-f99e-4ff5-baa7-d149ffbc003a · outbound

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Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning 2017 , month =

Reference 27

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Observation b5697b28-9929-4a93-a509-8966b156e462 · outbound

This paper cites Whole building energy model for HVAC optimal control: A practical framework based on deep reinforcement learning , journal =.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Whole building energy model for HVAC optimal control: A practical framework based on deep reinforcement learning , journal =

Reference 28

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Observation fcb68bdf-fb8d-488c-859f-4d3fec4758e5 · outbound

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Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Buildings , volume=

Reference 29

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Observation 9d5f7ae6-1b07-4b22-b604-c754d147ad3b · outbound

This paper cites Proceedings of the 34th International Conference on Machine Learning , pages =.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Proceedings of the 34th International Conference on Machine Learning , pages =

Reference 30

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Observation 5e7722ba-a7c0-4114-a1d0-74291961c7e2 · outbound

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Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning 2016 , eprint=

Reference 31

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Observation ea9c04c7-ff63-47da-98da-7ded0a5cd0fe · outbound

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Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning 2022 , eprint=

Reference 32

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Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Proceedings of eSim 2026: 14th Conference of IBPSA-Canada , organization =

Reference 33

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Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Scientific Reports , year =

Reference 34

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Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning 2022 , editor =

Reference 35

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Observation 3b8d0b88-a98a-4c1b-b375-a317fb770153 · outbound

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Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Gradient Surgery for Multi-Task Learning , url =

Reference 36

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Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=

Reference 37

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Observation a6a0e68d-eba2-4505-b0f9-b8c6d48326d8 · outbound

This paper cites Bigger, Regularized, Optimistic: scaling for compute and sample efficient continuous control , url =.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Bigger, Regularized, Optimistic: scaling for compute and sample efficient continuous control , url =

Reference 38

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source=arxiv_source observed=2026-08-01T20:46:05.447711Z digest=sha256:2c87f604dcc6c96df589ac238e9ba4e50f2ef2f81f4f3e482f7f33ae65b0c263

Observation c12c1672-da13-4365-bc37-b0a5b62510f9 · outbound

This paper cites Embodied intelligence via learning and evolution , volume=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Embodied intelligence via learning and evolution , volume=

Reference 39

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source=arxiv_source observed=2026-08-01T20:46:05.701298Z digest=sha256:4a9fc03fb445ea01fe4cf8df672a3216154fc5b55070b96e5223f614aa426a29

Observation 60d0296c-ab0f-4be8-abe8-1c2fbee1c394 · outbound

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

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning The Twelfth International Conference on Learning Representations , year=

Reference 40

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source=arxiv_source observed=2026-08-01T20:46:05.947408Z digest=sha256:2bf42559384e70cd62ef8d975e6da53e880eded7ba6e5e68c33693a5fedc6a01

Observation 530dd967-7991-453d-b015-3259d1e1d895 · outbound

This paper cites 2018 , eprint=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning 2018 , eprint=

Reference 41

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source=arxiv_source observed=2026-08-01T20:46:06.062350Z digest=sha256:bd94404afa29931bbbef1cfa4e0702f05eb9ac692f206c66d1070b9eade4d1e2

Observation db3aa526-cf36-4d48-9bb2-8a408666648d · outbound

This paper cites 2019 , eprint=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning 2019 , eprint=

Reference 42

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source=arxiv_source observed=2026-08-01T20:46:06.232808Z digest=sha256:289bd1cfb8264ea4899eb74ad86c345889979a6aeec1127a44392e869afc6ea0

Observation 741d097f-9c13-48e8-a441-4443f242da38 · outbound

This paper cites 2020 , eprint=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning 2020 , eprint=

Reference 43

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source=arxiv_source observed=2026-08-01T20:46:06.399641Z digest=sha256:59fd6489e1c8d09b7826357bd20b3bb63f2511d0779e0d75223928d2f2d9d0db

Observation aba53195-00d3-4b5f-a3b0-37bdedc2e9ab · outbound

This paper cites 2017 , eprint=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning 2017 , eprint=

Reference 44

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source=arxiv_source observed=2026-08-01T20:46:06.536569Z digest=sha256:d1eac0abff9697cc834c5d050a23d4ea149f1aec1133f59dc854d18b4ead7d0d

Observation 574b0af8-b749-4e4f-9b48-7751bc31a95c · outbound

This paper cites 2018 , eprint=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning 2018 , eprint=

Reference 45

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source=arxiv_source observed=2026-08-01T20:46:06.736010Z digest=sha256:29689489d8334ba6298dd3f2aaafb4e31980a83ef56f51f961cb10e7c1fb3dc2

Observation e9e8eba3-14bd-4b8c-83ce-c5f619159b92 · outbound

This paper cites 2018 , eprint=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning 2018 , eprint=

Reference 46

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source=arxiv_source observed=2026-08-01T20:46:06.938408Z digest=sha256:4d101d2f4223aec1517db28301b3900fc65be37bd41c9818f70abe3c66b24deb

Observation c6e00481-5f78-4dad-b5b7-86233ccd2b05 · outbound

This paper cites 2021 , eprint=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning 2021 , eprint=

Reference 47

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source=arxiv_source observed=2026-08-01T20:46:07.165926Z digest=sha256:9e839e0b324e10714477d49f7fe11f8da27cf948a2e9920f99784b273b7ba615

Observation 1a0c8690-d7a1-49e2-bd37-ee6b1ceaa6a4 · outbound

This paper cites 2022 , eprint=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning 2022 , eprint=

Reference 48

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source=arxiv_source observed=2026-08-01T20:46:07.337277Z digest=sha256:7242a3a70033e71f6a12941f90a03bb9c75ef2b887808b1dd539cab08658534a

Observation 0668c7ce-a715-4a5c-b4e9-8224294f1379 · outbound

This paper cites Improving Generalization for Temporal Difference Learning: The Successor Representation , year=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Improving Generalization for Temporal Difference Learning: The Successor Representation , year=

Reference 49

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source=arxiv_source observed=2026-08-01T20:46:07.419384Z digest=sha256:73a608a3d35a5980d9c459e37d9d9e8ca88636bf6d241748e884d1db96efcee5

Observation 675149ce-0e46-4f0a-a0ec-84fea39c9ebb · outbound

This paper cites Proceedings of the 32nd International Conference on Machine Learning , pages =.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Proceedings of the 32nd International Conference on Machine Learning , pages =

Reference 50

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source=arxiv_source observed=2026-08-01T20:46:07.537398Z digest=sha256:940f76bd2c08ccb7176b48acfe660e6ad284d0d6b180c0f4b68927364600a43b

Observation a147035d-7600-4126-ab9f-f5f5f42baedc · outbound

This paper cites 2018 , eprint=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning 2018 , eprint=

Reference 51

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source=arxiv_source observed=2026-08-01T20:46:07.619420Z digest=sha256:3292f91e1e96b04b6a1f53af381158f2f931fe1e6c4710a5f5aead67f024c155

Observation 83f97003-b8fa-429a-8846-c1dab305309d · outbound

This paper cites Are We Learning Yet? A Meta Review of Evaluation Failures Across Machine Learning , url =.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Are We Learning Yet? A Meta Review of Evaluation Failures Across Machine Learning , url =

Reference 52

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source=arxiv_source observed=2026-08-01T20:46:07.685377Z digest=sha256:891846ef590c21bcdfbeb0d50232b53ea01e182dfa565fadb5f2be784a49a7fe

Observation 4f0aede5-2447-44d7-8498-533907844f90 · outbound

This paper cites , journal=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning , journal=

Reference 53

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source=arxiv_source observed=2026-08-01T20:46:07.750936Z digest=sha256:d633074310ae86048db6474f0c54d4eb5b50816d42a8ef468c5002ceb3171e94

Observation c3d28b88-0777-40fc-bbe6-42434bfd67cf · outbound

This paper cites Meta-World+: An Improved, Standardized,.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Meta-World+: An Improved, Standardized,

Reference 54

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source=arxiv_source observed=2026-08-01T20:46:07.813268Z digest=sha256:7ff1926b65520b910d85fa68e1b39cb5b00c790c8ffaa300dc00ad8fb4a4b381

Observation b6a640fc-e7ba-4b65-a207-a1c940a00d5b · outbound

This paper cites Software Impacts , volume =.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Software Impacts , volume =

Reference 55

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source=arxiv_source observed=2026-08-01T20:46:07.930666Z digest=sha256:5cfd8883f3e70a3c201315ba8fc1289e314603e41cf40f22d1275826868eea36

Observation cd586eaa-3448-4774-8d61-dde5938412a4 · outbound

This paper cites 2019 , eprint=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning 2019 , eprint=

Reference 56

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source=arxiv_source observed=2026-08-01T20:46:08.025612Z digest=sha256:d6ff64e5faab1402c8f6d0fe48a54c137f50ffc37bf17addb475bdafa66d6542

Observation c918fb0b-c7dc-4705-afe9-7839a14ecefb · outbound

This paper cites Journal of Artificial Intelligence Research , volume =.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Journal of Artificial Intelligence Research , volume =

Reference 57

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source=arxiv_source observed=2026-08-01T20:46:08.118586Z digest=sha256:d0f94831cfb61b8d583339e12980de37e3a2c7f4a0539ac0ca6d771d00134528

Observation 25a2ba3f-a9ac-4bef-b333-5d0a899456ab · outbound

This paper cites Reward Function Design in Reinforcement Learning for.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Reward Function Design in Reinforcement Learning for

Reference 58

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source=arxiv_source observed=2026-08-01T20:46:08.186293Z digest=sha256:7dd45c6b5307c9c130967f75eb3fe02bcabd601ec7194dd5cded60c2d5b59788

Observation b0e1c49d-d5f5-4740-8318-6811052fa878 · outbound

This paper cites Autonomous Agents and Multi-Agent Systems , volume =.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Autonomous Agents and Multi-Agent Systems , volume =

Reference 59

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source=arxiv_source observed=2026-08-01T20:46:08.281331Z digest=sha256:a13abf27c9a371a35d06eeeaa646213bd7827f695de62e3f6154e27c93a602a4

Observation ea590d04-c4f7-4c2b-af3a-7b3d4225085a · outbound

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

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Advances in Neural Information Processing Systems (NeurIPS) , volume =

Reference 60

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source=arxiv_source observed=2026-08-01T20:46:08.335231Z digest=sha256:611d1add02bea4ae344df03637a5b7bf9238b566d44dfa45c3b178399ae22741

Observation 55af4888-ab0b-4972-abd7-1b7104192e83 · outbound

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

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Advances in Neural Information Processing Systems (NeurIPS) , volume =

Reference 61

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source=arxiv_source observed=2026-08-01T20:46:08.400247Z digest=sha256:796efcc1e686466a649a0bb85c5c8d3305ce608462a56228392c723ea2136ef6

Observation 76001c74-4ea1-45e3-9858-89258a0422bd · outbound

This paper cites Multi-Task Deep Reinforcement Learning with.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Multi-Task Deep Reinforcement Learning with

Reference 62

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source=arxiv_source observed=2026-08-01T20:46:08.497749Z digest=sha256:01b29c5873a6743d8f657611339a1321382afcb3212ae28958e901c70d106ebb

Observation e3824fc7-7cc4-43d6-8e95-0b473b326729 · outbound

This paper cites 2023 , eprint=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning 2023 , eprint=

Reference 63

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source=arxiv_source observed=2026-08-01T20:46:08.562599Z digest=sha256:58923c4ce2e17afa2edfd4b22ae2cbb9b99335bfd30d5652a4b81167383dccd7

Observation a40efd45-4641-41e0-a6b7-b48dba65eb7e · outbound

This paper cites 2020 , eprint=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning 2020 , eprint=

Reference 64

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source=arxiv_source observed=2026-08-01T20:46:08.683966Z digest=sha256:041a030d7ca229abe41f80afb371a52c56e812b05181b74988dbcfc35574db81

Observation ecf496dc-0edc-44ee-9b85-bc4837a0f421 · outbound

This paper cites robosuite: A Modular Simulation Framework and Benchmark for Robot Learning.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Reference 65

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source=arxiv_source observed=2026-08-01T20:46:08.744268Z digest=sha256:b4fa5ca110a8cffbeb3462655c398203d5562f34872a01ba96ad2aee65aba626

Observation 548b7be3-8f8e-4d08-ab3f-274969cb91fe · outbound

This paper cites 2019 , eprint=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning 2019 , eprint=

Reference 66

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source=arxiv_source observed=2026-08-01T20:46:08.802306Z digest=sha256:70f9fd6850d395ac645f41882eb219609d4389f2f6cceb753274f585d8a364f3

Observation 7d03fb08-33f6-42d3-9ec0-b60c12bf8563 · outbound

This paper cites 2022 , eprint=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning 2022 , eprint=

Reference 67

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source=arxiv_source observed=2026-08-01T20:46:08.889383Z digest=sha256:b122750feeb57c31ea685498edeb76484fe4b3ac2a95067ca85bcd01dbb443c4

Observation 144a8119-ca0b-44e2-bc85-96034575d514 · outbound

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

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning Journal of Machine Learning Research , year =

Reference 68

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source=arxiv_source observed=2026-08-01T20:46:08.987123Z digest=sha256:d8d8f193bc87c3aad69670793715841e52ac77a292173652aa215bbdd3b8b690

Observation 16df1caf-d010-4e7f-92e0-85bccc26ada7 · outbound

This paper cites VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data , url =.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data , url =

Reference 69

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source=arxiv_source observed=2026-08-01T20:46:09.046607Z digest=sha256:1f884cfae6700f782b9b3293fe0e2c8d614c00d6f5f94a142b554ebb4fb94299

Observation 5b815117-24b4-422d-afee-8a7584fecd22 · outbound

This paper cites 2021 , eprint=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning 2021 , eprint=

Reference 70

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source=arxiv_source observed=2026-08-01T20:46:09.108687Z digest=sha256:b70eabff9c38808e981fcc385a2bbdb11378502e292d2a778828dd9d0ad118b0

Observation bf2e9db3-422c-4e81-a645-60644438abf6 · outbound

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

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning The Fourteenth International Conference on Learning Representations , year=

Reference 71

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source=arxiv_source observed=2026-08-01T20:46:09.185623Z digest=sha256:0279ac441a184cb62772f34c3b4056966ba7a68b7dc18565b003e52c6c913108

Observation 531b70eb-696e-453c-8c19-9c56fa64baf1 · outbound

This paper cites My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control

Reference 72

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source=arxiv_source observed=2026-08-01T20:46:09.268773Z digest=sha256:f01a466e010af79f5eb51a566fe6b83b75863f56704fa3b1c224ba5939bb1c26

Observation a1293927-b94a-4d99-9835-c3ba31f9639d · outbound

This paper cites HeteroMorpheus: Universal Control Based on Morphological Heterogeneity Modeling.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning HeteroMorpheus: Universal Control Based on Morphological Heterogeneity Modeling

Reference 73

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source=arxiv_source observed=2026-08-01T20:46:09.390340Z digest=sha256:84e70cb3691064ba4d29e075d6f686886db9fa58a5a0330b8e4fd901a1461d37

Observation 11069221-2cf6-459e-8020-c781f478d436 · outbound

This paper cites 2015 , eprint=.

Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning 2015 , eprint=

Reference 74

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source=arxiv_source observed=2026-08-01T20:46:09.481155Z digest=sha256:149a4aa5f8f5f696b6860c1390356ff2734e7cd8fd0a3e1b4b246d0817c6b6f8

Pith citing papers

No inbound Pith citation observations are available.