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Paper Citation Record · LEDGER

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning

As of 18 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2507.06628.

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

pith.paper-citation-record.v1
2507.06628 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:05:00.601759Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

50 of 50 outbound references displayed

  • verified exact0
  • verified fuzzy43
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cfaeab78-d518-4a4f-bf72-54d28ae57db8 · outbound

This paper cites Dynamic programming.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Dynamic programming

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3108c96f-b45b-4a89-8017-626e891d2198 · outbound

This paper cites End-to-end object detection with transformers.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning End-to-end object detection with transformers

Reference 2

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raw_fallback, observed 2026-08-06T19:05:01.023241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:04:58.604101Z digest=sha256:b5a4523805795a708ecd9491b9e30bc53ec53736959b2d7b55066567ed25ea64

Observation 4cacba45-312d-4730-9151-a08ffefb0fcb · outbound

This paper cites Multitask learning.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Multitask learning

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:04:58.756670Z digest=sha256:e56b2b1e65ef2befdbba68e12dfe6d5dbf39b28e1406bd1dd4bc7bb4d0336cde

Observation 6f06411e-3478-4cac-8b4b-9ee20a2b8b39 · outbound

This paper cites Offline reinforcement learning via high-fidelity generative behavior modeling.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Offline reinforcement learning via high-fidelity generative behavior modeling

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:04:58.923754Z digest=sha256:094a82a4bf14cbb775f3f5dec3cd5a60723b4b0416c4f85021aa286e629947f9

Observation caf5ea7e-964e-4513-ad25-1004af798c8b · outbound

This paper cites Decision transformer: Reinforcement learning via sequence modeling.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Decision transformer: Reinforcement learning via sequence modeling

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:04:59.090250Z digest=sha256:95998a5cb7a1f8e28134498b0b52c56b72e236a50af4344dd17f2d21d1bbcf5b

Observation ef50f3ef-2fa6-47cf-92b8-68b951d24f90 · outbound

This paper cites Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:04:59.206029Z digest=sha256:e1174d305d90a749dfb2f6614d7035f742824fc9f6a10906efac748551ea9483

Observation 0bf9025a-bb2c-4008-96ee-efada1c4990c · outbound

This paper cites Sharing knowledge in multi-task deep reinforcement learning.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Sharing knowledge in multi-task deep reinforcement learning

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:04:59.269243Z digest=sha256:19ebf95b714780c648114a32fa06897ea324151ab3be2ba5cf44bbff68cfa467

Observation 8455d468-03fe-4e51-8281-a347ad8341e3 · outbound

This paper cites BERT : Pre-training of deep bidirectional transformers for language understanding.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning BERT : Pre-training of deep bidirectional transformers for language understanding

Reference 8

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raw_fallback, observed 2026-08-06T19:05:00.975727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:04:59.282621Z digest=sha256:93ac6ececb1125767294be877b32885ef9fa89334ea470c6aa8b790bc58c09ce

Observation a11048d2-ea06-46a6-b930-8b517f2be48d · outbound

This paper cites Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:04:59.452357Z digest=sha256:6e1a4c7614e05d331686ce4e37ac03f74558a077f4d9f27d6836f03b64ae08de

Observation ef7c42e5-753f-48f7-bf61-0e4b5aafdcb7 · outbound

This paper cites Off-policy deep reinforcement learning without exploration.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Off-policy deep reinforcement learning without exploration

Reference 10

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raw_fallback, observed 2026-08-06T19:05:00.967674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:04:59.616642Z digest=sha256:8bbd1a41f9bec684a6ecdcc2f7bb7c0cf9b682947af71d1b833f4c6cea6e40e7

Observation 35515b93-cadf-401f-9912-76a2f3bacc22 · outbound

This paper cites Offline rl policies should be trained to be adaptive.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Offline rl policies should be trained to be adaptive

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:04:59.826724Z digest=sha256:96b2c9d832a7b6006ec88b0f7c00ac61ca52d4456381f46ce59d19209622042c

Observation 8f851b1f-d856-47da-a5ec-327ab4287abd · outbound

This paper cites D., Avoli, M., and Pineau, J.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning D., Avoli, M., and Pineau, J

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:04:59.989067Z digest=sha256:c6d4f6333e7da8b291f26f71c53f1f5a94001f73e888c64e7206f5a093e8e9d3

Observation 89db53cb-39ce-4f18-b8dc-4faf31672579 · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.155527Z digest=sha256:ded8da2b784a86b15d1830c63c4cfe8edd92327801dc289df31cf13a4c935cfc

Observation b3a8283a-25c9-4df2-89d2-788391eca7ea · outbound

This paper cites Hierarchical few-shot imitation with skill transition models.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Hierarchical few-shot imitation with skill transition models

Reference 14

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raw_fallback, observed 2026-08-06T19:05:00.936154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.319849Z digest=sha256:0087a81f9b516d37396cb660bee37f26a3daa92656c7d4bc077083c23b55acbe

Observation 863863cb-71ad-4cda-bae4-869407494c3b · outbound

This paper cites Diffusion model is an effective planner and data synthesizer for multi-task reinforcement learning.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Diffusion model is an effective planner and data synthesizer for multi-task reinforcement learning

Reference 15

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raw_fallback, observed 2026-08-06T19:05:00.928615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.479888Z digest=sha256:f3c8ecd230b7e41d8a15d2f09be8ed35d432311409a4fc9edbfbe016e25092d7

Observation 7940986a-1ebb-406d-a02b-d1e7362b8ba4 · outbound

This paper cites Efficient multi-task reinforcement learning with cross-task policy guidance.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Efficient multi-task reinforcement learning with cross-task policy guidance

Reference 16

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raw_fallback, observed 2026-08-06T19:05:00.920412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.512782Z digest=sha256:ae2071dc26316bf587daaca229eef9f7153e30cd31038e1a32793639e8bd73cf

Observation c589436b-236f-4120-8d0b-ffa811e60a5a · outbound

This paper cites Not all tasks are equally difficult: Multi-task deep reinforcement learning with dynamic depth routing.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Not all tasks are equally difficult: Multi-task deep reinforcement learning with dynamic depth routing

Reference 17

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raw_fallback, observed 2026-08-06T19:05:00.912575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.515347Z digest=sha256:a2d8559bb50db7bb2f301ef81463b71a74ae8b90a00353f28b24057eb3a2f869

Observation 26029a1f-d0e5-4e0e-8d81-4124633f8e14 · outbound

This paper cites Harmodt: Harmony multi-task decision transformer for offline reinforcement learning.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Harmodt: Harmony multi-task decision transformer for offline reinforcement learning

Reference 18

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.518935Z digest=sha256:81ba6c396caf1b625f7c3d610c5b62b7090923ff8fd49755e258cf1f8afe788e

Observation 8c6f6859-26e7-4982-97b3-590a264cab8c · outbound

This paper cites B., and Levine, S.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning B., and Levine, S

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.521469Z digest=sha256:7350cdfb38619765fcca0dd343e446bd533b4fdfe1486660e4429f6d744605bd

Observation 5b73fb77-30c9-4af3-bfcc-eabe7f6b4e47 · outbound

This paper cites Scalable deep reinforcement learning for vision-based robotic manipulation.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Scalable deep reinforcement learning for vision-based robotic manipulation

Reference 20

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raw_fallback, observed 2026-08-06T19:05:00.888967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.525516Z digest=sha256:e547f46348712663295fb95707e482affbee8c46c118c12625b85ccc6e6600db

Observation 27752620-cd0d-4863-8994-9340d420234b · outbound

This paper cites MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 21

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source=arxiv_source observed=2026-08-06T19:05:00.528075Z digest=sha256:7ab36e0793e58ac38f57041d99daae2469078723c4a6e8b738261145334a2f35

Observation d874b1d1-ced1-4f1c-99b2-0387aec47ed7 · outbound

This paper cites An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare

Reference 22

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source=arxiv_source observed=2026-08-06T19:05:00.531117Z digest=sha256:e8ebce71c82c492bd1ccb951980536be71b15f21b155cddeef39bc0fea2115da

Observation ffeccdd7-f3d3-4216-8b15-fe7f7fb7a8a0 · outbound

This paper cites Offline reinforcement learning with implicit q-learning.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Offline reinforcement learning with implicit q-learning

Reference 23

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raw_fallback, observed 2026-08-06T19:05:00.880872Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.534193Z digest=sha256:9c31625065dde9f9d2a984069e75467d49bff9bd011051c3c7a84efbe79d56f2

Observation 57de8e44-6c70-49f4-9637-32aaa1bf1fad · outbound

This paper cites Conservative q-learning for offline reinforcement learning.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Conservative q-learning for offline reinforcement learning

Reference 24

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.536815Z digest=sha256:26d50939bc5ee4703c7afd60fd80b5417c8a3c8002fcc19b35c7baf608cd0d50

Observation 8a9e6aa8-0f5b-40d9-b51e-e7776d867d37 · outbound

This paper cites S., Lee, L., Freeman, D., Guadarrama, S., Fischer, I., Xu, W., Jang, E., Michalewski, H., et al.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning S., Lee, L., Freeman, D., Guadarrama, S., Fischer, I., Xu, W., Jang, E., Michalewski, H., et al

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.539435Z digest=sha256:1df8fd6253e837e69d8cc96519c7acff40adf478b08d31a0b83f6fbd086b796d

Observation 82366685-18bf-421f-bf27-346fc7462428 · outbound

This paper cites End-to-end training of deep visuomotor policies.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning End-to-end training of deep visuomotor policies

Reference 26

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raw_fallback, observed 2026-08-06T19:05:00.854390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.542071Z digest=sha256:9020809ca1c67c4b2aa40022a3e2cf7ef8e2c80a9db4f7553d6a0d6400a13217

Observation 628683bb-a700-4caf-80f3-210f50267964 · outbound

This paper cites Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 27

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:05:00.544604Z digest=sha256:434da90da23127940b57135592b3ac27b79bfc3ccc1550ce80ef206ac3ef64d3

Observation 1f26d98f-a7a7-43ee-a96a-0de2f4278872 · outbound

This paper cites P., Hunt, J.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning P., Hunt, J

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.547449Z digest=sha256:bb10653cbfdfd62ea46df0894ccc9accb8972874f00b9473eef601f7447cbd55

Observation d97fc928-a729-48ba-a280-71bc388f888e · outbound

This paper cites Focal loss for dense object detection.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Focal loss for dense object detection

Reference 29

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raw_fallback, observed 2026-08-06T19:05:00.837840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.550000Z digest=sha256:79b62b499bc9461ef2e904fcd41934ac6cdc74ca0b38d725bec42a63ca865b27

Observation e5254a3b-4762-4671-ba70-a45b427a5d2d · outbound

This paper cites Conflict-averse gradient descent for multi-task learning.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Conflict-averse gradient descent for multi-task learning

Reference 30

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raw_fallback, observed 2026-08-06T19:05:00.829344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.552464Z digest=sha256:2cf5280a33dc280a9e7974e714ef0baddb3f92f123295a450d76b45011dc1fbb

Observation 4c6acaec-b2d7-4bcb-a432-bdec2bf8f212 · outbound

This paper cites J., Kumar, V., Zhang, A., Bastani, O., and Jayaraman, D.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning J., Kumar, V., Zhang, A., Bastani, O., and Jayaraman, D

Reference 31

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raw_fallback, observed 2026-08-06T19:05:00.821377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.554800Z digest=sha256:7911ee299c699baddefbef5e4f869ccee80c625c644b7e7357809c83a84cfc73

Observation 3dd173d8-373e-4d39-b443-a46a8fc53606 · outbound

This paper cites A., Veness, J., Bellemare, M.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning A., Veness, J., Bellemare, M

Reference 32

Resolution
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raw_fallback, observed 2026-08-06T19:05:00.812990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.557315Z digest=sha256:08b42c55faa4d80c128f71477764d8ca3c89bafa41c0f2710e2dddcf05aeac90

Observation b8559033-9d6b-4ca7-bd63-a30d969c83a0 · outbound

This paper cites R3m: a universal visual representation for robot manipulation.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning R3m: a universal visual representation for robot manipulation

Reference 33

Resolution
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raw_fallback, observed 2026-08-06T19:05:00.804814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.559705Z digest=sha256:8ffd6afb225e7624d2a4e5757538ecfdb6fd9cb7a2de16fb1714a81bc1da0a0d

Observation 1864ec49-063c-4c1d-bdd1-c29f0fa9ea3f · outbound

This paper cites Learning and retrieval from prior data for skill-based imitation learning.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Learning and retrieval from prior data for skill-based imitation learning

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:00.796533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.562105Z digest=sha256:a18f787c4998e6b31c9d0e5b0fccd88606ff65767444c68a0d6cb85b1f9e2b8e

Observation b7049cb4-f099-4a88-ac3d-ba329623a2ba · outbound

This paper cites Accelerating reinforcement learning with learned skill priors.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Accelerating reinforcement learning with learned skill priors

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:00.788028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.564462Z digest=sha256:cfeb4838ec4113921e94cf161effbd2fff818fab9e719e02ad0ae3e03896a8b3

Observation b74797b9-7046-4b18-8663-9cbd88b7ed07 · outbound

This paper cites an unresolved cited work.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:05:00.779220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.567271Z digest=sha256:e74633efb85df68657333026be773228c5b17ff7d422ee34c31dd70b9d2bab16

Observation ca23bf21-1be4-4ee0-9b5f-79bdc4e1cf8d · outbound

This paper cites an unresolved cited work.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:05:00.769602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.569767Z digest=sha256:1805e360f37bd113fff9d37bca8e97d7ffd6c4bfa41ffbf7eb9f060c346fce64

Observation b5c95921-1d44-409c-8238-55314c1fffd5 · outbound

This paper cites Hierarchical and interpretable skill acquisition in multi-task reinforcement learning.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Hierarchical and interpretable skill acquisition in multi-task reinforcement learning

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:00.761697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.572089Z digest=sha256:6987f8d4cc4f53afaa15c178c94612a9776ebe5d3db7a166bf807474774dbe17

Observation e6ea7188-ee28-4a86-b798-478dacec91c7 · outbound

This paper cites Multi-task reinforcement learning with context-based representations.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Multi-task reinforcement learning with context-based representations

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:00.753473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.574384Z digest=sha256:69b490103aacbb0eb5411e3821f35f5dbfdbc4460f7d21931ca4f1c1bd5eb7fc

Observation 00fe138d-f58a-46e9-a051-b0020730a5ae · outbound

This paper cites MuJoCo : A physics engine for model-based control.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning MuJoCo : A physics engine for model-based control

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:00.744057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.577134Z digest=sha256:4ac36b1a4b839f22eda9aa84c80805046d04a5d63177a1dc7c7d4734f050c16a

Observation 26c62894-6b2b-48fd-988b-e838d4251ed3 · outbound

This paper cites Neural discrete representation learning.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Neural discrete representation learning

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:00.736236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.579931Z digest=sha256:1a2470594b9d04977c23bc2fa230ad6399520f1af6cf7911966d0ef66ac4e44f

Observation 6f0940a5-670d-410d-be91-9bb56f876a1b · outbound

This paper cites N., Kaiser, L.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning N., Kaiser, L

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:00.727851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.582323Z digest=sha256:2b96a0896844dad09d466c3960c07d51684b2deb98106b8af93b34a85ca9f3a1

Observation 4ee1e941-9ff8-4d7e-8d72-a5cf7f7877a6 · outbound

This paper cites J., and Zhou, M.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning J., and Zhou, M

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:00.719735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.584763Z digest=sha256:2802da16def3a0115dbc916f0c25d2ec04fa22627e64f09add0124dc41657479

Observation 511c03bb-db4d-4703-b470-66ac6de5acfb · outbound

This paper cites Prompting decision transformer for few-shot policy generalization.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Prompting decision transformer for few-shot policy generalization

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:00.711682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.587398Z digest=sha256:dd8b8e5e368f9f0c18699b45781c40ee9867d5d1bfe755d049fdbc6c6f31ae8c

Observation 66754f05-b7dd-40aa-8a18-3e0306d9223c · outbound

This paper cites Q-learning decision transformer: Leveraging dynamic programming for conditional sequence modelling in offline rl.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Q-learning decision transformer: Leveraging dynamic programming for conditional sequence modelling in offline rl

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:00.702267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.589746Z digest=sha256:2b7ea423ed39c5bd3539319a01cf2dcd6cb4bf9b21b29936629d9678cb24713a

Observation e9a401d2-b87d-4316-86e5-468c716586f7 · outbound

This paper cites Multi-task reinforcement learning with soft modularization.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Multi-task reinforcement learning with soft modularization

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:00.694210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.592429Z digest=sha256:c18dddeb10761f263951d9cb3b10b1d6a3448ab2cab10a9d017d1902c1e815b6

Observation 3620bb30-baec-43ad-942b-185862b4b67c · outbound

This paper cites Mastering complex control in MOBA games with deep reinforcement learning.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Mastering complex control in MOBA games with deep reinforcement learning

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:00.685346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.594843Z digest=sha256:bf008bb9964590cb3871bb9984d3468f2f63c8e4c590404bffe82e4e87f10857

Observation 2db120dc-bcb6-48bf-84ef-5d851653a753 · outbound

This paper cites Gradient surgery for multi-task learning.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Gradient surgery for multi-task learning

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:00.676909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.597176Z digest=sha256:aecc97f31875ab11e39432e6e4115e4059ce69ad3211a23d84500c4af0f240b9

Observation e6ec6746-f7cd-403b-8457-f6af026d8152 · outbound

This paper cites Meta-World : A benchmark and evaluation for multi-task and meta reinforcement learning.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Meta-World : A benchmark and evaluation for multi-task and meta reinforcement learning

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:00.668348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.599488Z digest=sha256:97ea2585d3aa1615cb48270fb9a90c4034fa065d74023cc892c579fab239fcb9

Observation e139f114-5079-405d-bb0f-0cf38c201b09 · outbound

This paper cites write newline.

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning write newline

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T19:05:00.601759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:05:00.601759Z digest=sha256:e216fcf74157f7fc2abeb61ce3d3c29702e04c584586e59cba0d2ab25abee4d9

Pith citing papers

No inbound Pith citation observations are available.