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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:04:58.484950Z digest=sha256:ed85edc212ce069862b7ab4a92080955227ae220504931e2e4925770baf92420

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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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=2026-08-06T19:04:58.604101Z digest=sha256:290943d4f00ff36953fb3ee22a71743a541f9acacde02edd6d818ebad37ee279

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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:04:58.923754Z digest=sha256:e5c995f7744e72a7b11d259872fb0b9d8161bac4d0d0a222f1f20487aa23b26d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:04:59.090250Z digest=sha256:c6c0e351eec306d901a923d88876b740a698ada42f6690ca8adf969406f8b318

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:04:59.206029Z digest=sha256:e249bce46ef9a03022ecbb939e3efae5933e80607e3b76371a3d520f0febb3cf

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:04:59.269243Z digest=sha256:4d1f5b403a5e5396e204d5f996c54747230e5744afbceee33f948ff1ebbaf215

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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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=2026-08-06T19:04:59.282621Z digest=sha256:6a52455d8003730dbc331d5abce826b74b66e981a459c69b706f10e2f03564b7

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=sha256:08c44a155d854887d15e7b78b41a89b7b4a047b25abbb042fdb986c6836a0b43

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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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=2026-08-06T19:04:59.616642Z digest=sha256:276c77ddeaad1de19b1fe42158d2f6aeafd6440fbb9de2c041fa4ccd3e35c4ff

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:04:59.826724Z digest=sha256:09b50f94e6e738bc6ac5e80b75317fcd5a72bd5d4241b81fddd9a83b573d2513

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:04:59.989067Z digest=sha256:ac695c684d48589d757c6dfbcd2def3e11eaaa18b6e931a5c275de8e257bcaee

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

source=arxiv_source observed=2026-08-06T19:05:00.155527Z digest=sha256:3b4c5740f03961859503301072de6b9bfb3143b64751dc869c19be8ce198ab98

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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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=2026-08-06T19:05:00.319849Z digest=sha256:b057a70a9b025b58cd536ad8d35932ef7a19dad805f83dd536cd33a822949b71

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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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=2026-08-06T19:05:00.479888Z digest=sha256:d2a1656892d09e8ce0715d10c237e0c920d1b6b316f226c0add8fa3c43d84574

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

source=arxiv_source observed=2026-08-06T19:05:00.512782Z digest=sha256:dd710afc44c0ef8ced571aeb6235289edb0e1aa7b15bdac3d537e6aa0ba79007

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

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.518935Z digest=sha256:000c8a55f2ff951216628068288846c53e3bd4fac0eb7c5beb0ac64257a9da73

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

source=arxiv_source observed=2026-08-06T19:05:00.521469Z digest=sha256:617bd88f9808b39403d01d29b72030afc3ce69bcdc80e298813f97282f4402b4

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

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

source=arxiv_source observed=2026-08-06T19:05:00.525516Z digest=sha256:db84fcbb201f4cc1de00887f1d3f3003389bd4d0372425d8a0e9e365b517e002

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=sha256:047027b45b62712871e1ccebee3ab53181d7342bc8be06550355d3295f6f38ad

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:b41cc04adb64df0f5ce3d9cd69cd123d14e40f4bf83b646a7e7a9c88ef6356e5

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

source=arxiv_source observed=2026-08-06T19:05:00.534193Z digest=sha256:27eed4afa58ca146d55af8ca07068ad7a8854fb440d3dfe349131c56bc106c94

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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source=arxiv_source observed=2026-08-06T19:05:00.536815Z digest=sha256:3ea5f9a58b217fab869811b1d2a0152ca9c0f841acd82ebb661d54a7b4fb6196

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=arxiv_source observed=2026-08-06T19:05:00.539435Z digest=sha256:831047021d27d992a14890ac3d5ce01ac61691b3c6cf8289089cea331eb52a4f

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

source=arxiv_source observed=2026-08-06T19:05:00.542071Z digest=sha256:827ae40246bab8ae05c9d2815b9ad45b971fe455fa5d1e00878013062a4f6827

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.547449Z digest=sha256:9bec9be00c27bf1ea9d8cb8fcd8785b1245b061c385a4ec73d82487f674e6e8f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.550000Z digest=sha256:a3517124644be287c448eb148b459c664d43839b8f5229c84b641e5d48fc3e41

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.552464Z digest=sha256:f52beb7ff97bb4dd711db7612754da798f2503c4c9a560a3562e405bf88cf96b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.554800Z digest=sha256:daec9972245e21ab2bdab1ced1fbcfd113fb13251f45befe5b01c9c0b4a4c615

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

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.557315Z digest=sha256:fb4ea5043929363fa58d12efc8d8e6e558e6b6c2de101a36c484f144118ef624

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

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.559705Z digest=sha256:f172c6befe20d7fe8205f0708263a014db312fc44d7eb173653b2fdc35afa264

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

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.562105Z digest=sha256:c58492111de9eb1e6bd521e5c71e52ac2fd6fd951d047d5692fedd13957607b0

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.564462Z digest=sha256:6a4c5f2e08f298e3a91e09fef896696175783b806bf0de170a7b20a8121f5cdf

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.567271Z digest=sha256:041e036017791fab2a429f0bab3e84a6657c88818585d78ce0a100ccb3ac2898

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.569767Z digest=sha256:734a2240ef5ad2d0795ba684fd1648ee7fe1e84c2608a0072e550f8f75561e46

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.572089Z digest=sha256:8c855af0fac936dc5711d76f9647a229ef233b24a4b4b2b1d585f88b4e24409f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.574384Z digest=sha256:6aea83d2f512c230f9388c3510ba1d40d5dcbd5c146105c5f714470490f3c4fd

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.577134Z digest=sha256:879f37b7265e7fb247a9b4164e9d23580b8ee87dce31a853adbad1239ac427bd

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.579931Z digest=sha256:544f8fdfb25727ea23ec08aab92073f344395396416cdff26475cffd6e542a32

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.582323Z digest=sha256:9a10f4191735807248f3d3e997f5674b5bde5ed0b2c70c44f309412ad8e58b1d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.584763Z digest=sha256:f55353913eb8f2719fed5e858d0c6910d0b8be5c91fe8512b38f33baddf91d7e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.587398Z digest=sha256:1c3b777c4a1a0a24eb591e05a18ccdee2a2ab7d38fd78dbd841676b457c036da

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.589746Z digest=sha256:074ba2c25cded5536f3d4148a4f0cb843d286b625fc8806ba0ae9fbeeab31a39

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.592429Z digest=sha256:9eb93a56dd929b251a04b4d1a7e0045a3b3f69db821ee2f5069cb4b910cad5bc

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.594843Z digest=sha256:7dd99bd375d7af8c1c2d71739cf4bcf29e28515ce49b8f422f4dc36b1cf19a53

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.597176Z digest=sha256:bf672d1089b8c962d386f1b8ad5dd507f349f5c3d258794228ec684edf977304

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:05:00.599488Z digest=sha256:45aff86c60af1a5249ae0f6e229da4d41dfabfc884bb10060fc07757dabdfafc

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.