Paper Citation Record · LEDGER

Learning Action-Transferable Policy with Action Embedding

As of 17 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:1909.02291.

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

pith.paper-citation-record.v1
1909.02291 v3

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:59:31.450302Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:02:50.784117Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T23:02:52.433194Z

Reference resolution

30 of 30 outbound references displayed

verified exact2
verified fuzzy21
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation de39eddb-445c-402a-a67b-c79328207b7d · outbound

This paper cites Unsupervised cross-domain trans- fer in policy gradient reinforcement learning via manifold align- ment.

Learning Action-Transferable Policy with Action Embedding Unsupervised cross-domain trans- fer in policy gradient reinforcement learning via manifold align- ment

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:59:31.978481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3a0fd353-4cee-44a5-9e38-ac76efaa8e76 · outbound

This paper cites Jordan, and Philip S.

Learning Action-Transferable Policy with Action Embedding Jordan, and Philip S

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:59:31.946157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2816ba3d-51ed-4a31-a6ac-509fd00172a5 · outbound

This paper cites Deep Reinforcement Learning in Large Discrete Action Spaces.

Learning Action-Transferable Policy with Action Embedding Deep Reinforcement Learning in Large Discrete Action Spaces

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T04:59:31.310821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d790df53-df22-442a-9963-6c59e75da393 · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep net- works.

Learning Action-Transferable Policy with Action Embedding Model-agnostic meta-learning for fast adaptation of deep net- works

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:59:31.932139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9256b2df-d7ea-4e35-ad3f-6b265974d65c · outbound

This paper cites Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning.

Learning Action-Transferable Policy with Action Embedding Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T04:59:31.326737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e77f3ba-95b5-4311-ad02-1bcc30aca892 · outbound

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

Learning Action-Transferable Policy with Action Embedding Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T04:59:31.332103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62b1e3bf-45fc-442d-a58d-6ef81d335aff · outbound

This paper cites Universal Successor Representations for Transfer Reinforcement Learning.

Learning Action-Transferable Policy with Action Embedding Universal Successor Representations for Transfer Reinforcement Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T04:59:31.367916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98d99cb0-919c-49d8-ae6d-9817ec0b39d3 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Learning Action-Transferable Policy with Action Embedding Efficient Estimation of Word Representations in Vector Space

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T04:59:31.373402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4db0289f-1a14-4e3e-bac4-e7f1c139b617 · outbound

This paper cites Human-level control through deep reinforcement learning.

Learning Action-Transferable Policy with Action Embedding Human-level control through deep reinforcement learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:59:31.831957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1f449564-88ef-4ec4-aa42-8c30a13d6311 · outbound

This paper cites Neural Network Surgery with Sets.

Learning Action-Transferable Policy with Action Embedding Neural Network Surgery with Sets

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-14T04:59:31.520714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d8c54793-2f9e-476b-91e4-d5ab20fd99f9 · outbound

This paper cites Mastering the game of go with deep neural net- works and tree search.

Learning Action-Transferable Policy with Action Embedding Mastering the game of go with deep neural net- works and tree search

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:59:31.816324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0f7b3d16-a49f-4d5b-b2ce-a8d0dd0963af · outbound

This paper cites Trans- fer learning for reinforcement learning domains: A survey.

Learning Action-Transferable Policy with Action Embedding Trans- fer learning for reinforcement learning domains: A survey

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:59:31.799113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7abd3bfa-dc2e-4d4e-8b70-31c078308587 · outbound

This paper cites The natural language of actions.

Learning Action-Transferable Policy with Action Embedding The natural language of actions

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:59:31.751057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 73c1782e-792c-49d3-aeac-a29f649e015c · outbound

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

Learning Action-Transferable Policy with Action Embedding Mujoco: A physics engine for model-based control

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:59:31.733802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation af256a57-2e18-40d7-831d-61342f0b15f3 · outbound

This paper cites Dynamics-aware embed- dings.

Learning Action-Transferable Policy with Action Embedding Dynamics-aware embed- dings

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:59:31.699237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 83211d2d-094f-4071-b234-5b85a7aa2618 · outbound

This paper cites Mutual Alignment Transfer Learning.

Learning Action-Transferable Policy with Action Embedding Mutual Alignment Transfer Learning

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-14T04:59:31.496055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 299e6919-cdb5-436d-84be-3b017d1e1304 · outbound

This paper cites Efﬁcient deep reinforcement learning through policy transfer.

Learning Action-Transferable Policy with Action Embedding Efﬁcient deep reinforcement learning through policy transfer

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:59:31.682421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8054339c-49b5-4ae2-a370-e74b9e0f9bfa · outbound

This paper cites Learning cross-domain correspon- dence for control with dynamics cycle-consistency.

Learning Action-Transferable Policy with Action Embedding Learning cross-domain correspon- dence for control with dynamics cycle-consistency

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:59:31.666652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 641e4d3f-6f19-4b33-8130-8a99fb43c38d · outbound

This paper cites Here, we exhibit action embeddings learned from additional state embeddings in Mujoco and Roboschool tasks.

Learning Action-Transferable Policy with Action Embedding Here, we exhibit action embeddings learned from additional state embeddings in Mujoco and Roboschool tasks

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:59:31.648570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0f7c246f-4c13-4347-9cb9-8e5f8685f207 · outbound

This paper cites Gen- eralization to new actions in reinforcement learning.

Learning Action-Transferable Policy with Action Embedding Gen- eralization to new actions in reinforcement learning

Reference 1997

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:59:31.883225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9945fb26-064d-4b94-b211-186db1846055 · outbound

This paper cites Distral: Robust multitask reinforcement learn- ing.

Learning Action-Transferable Policy with Action Embedding Distral: Robust multitask reinforcement learn- ing

Reference 2007

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:59:31.768137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3a70d47a-352a-4018-9a3d-caa4efae52aa · outbound

This paper cites Transfer learning via inter-task mappings for temporal difference learning.

Learning Action-Transferable Policy with Action Embedding Transfer learning via inter-task mappings for temporal difference learning

Reference 2009

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:59:31.783354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 83e6501b-7c02-40b1-9653-95250c36e311 · outbound

This paper cites Mutual information based knowledge transfer under state- action dimension mismatch.

Learning Action-Transferable Policy with Action Embedding Mutual information based knowledge transfer under state- action dimension mismatch

Reference 2012

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:59:31.717039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1b8a83ce-88b3-480f-a7fa-c3d5ea30860e · outbound

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

Learning Action-Transferable Policy with Action Embedding End-to-end training of deep visuomotor poli- cies

Reference 2013

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:59:31.866321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fbc3eb09-8c62-4fe0-b1cd-b6eeaa3588c4 · outbound

This paper cites Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement.

Learning Action-Transferable Policy with Action Embedding Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-14T04:59:31.293177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9afc95c-6888-44c0-a967-b6e6a19551a1 · outbound

This paper cites Knowledge ﬂow: Improve upon your teachers.

Learning Action-Transferable Policy with Action Embedding Knowledge ﬂow: Improve upon your teachers

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:59:31.849887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4e117d65-f4dd-4526-9a29-0e61c50c9ff0 · outbound

This paper cites Z-forcing: Training stochastic recurrent networks.

Learning Action-Transferable Policy with Action Embedding Z-forcing: Training stochastic recurrent networks

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:59:31.916388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4794723c-9418-43c7-9097-6cecd0687792 · outbound

This paper cites Long short-term memory.

Learning Action-Transferable Policy with Action Embedding Long short-term memory

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:59:31.900493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b5b84048-ff8d-4b9c-8c50-48ce4754ec90 · outbound

This paper cites Domain adaptation for reinforcement learning on the atari.

Learning Action-Transferable Policy with Action Embedding Domain adaptation for reinforcement learning on the atari

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:59:31.961081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fa0481c6-c718-4571-b216-d05e1f845416 · outbound

This paper cites Auto-Encoding Variational Bayes.

Learning Action-Transferable Policy with Action Embedding Auto-Encoding Variational Bayes

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-14T04:59:31.347477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a48b4f69-0cad-40c4-a1c2-fa3c1e178e87 · inbound

Towards Embodiment Scaling Laws in Robot Locomotion cites this paper.

Towards Embodiment Scaling Laws in Robot Locomotion Learning Action-Transferable Policy with Action Embedding

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-15T23:02:52.439587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.