Paper Citation Record · LEDGER

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity

As of 18 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 2 inbound Pith citation observations for arXiv:1908.05265.

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

pith.paper-citation-record.v1
1908.05265 v2

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

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measured 66 of 66 standing notices

One-hop event checks from named stored sources.

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measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:02:50.789832Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T12:52:17.858382Z

Reference resolution

64 of 64 outbound references displayed

verified exact1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ac845883-36be-4298-9862-6740352d9507 · outbound

This paper cites an unresolved cited work.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Unresolved cited work

Reference 1

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Observation 74f22c06-db5d-4d75-ac3b-cfac3e60967e · outbound

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

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Human-level control through deep reinforcement learning,

Reference 2

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Observation 6584f665-db8b-49c2-9479-35715562d0cc · outbound

This paper cites Mastering the game of go with deep neural networks and tree search,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Mastering the game of go with deep neural networks and tree search,

Reference 3

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Observation b7c40fab-7629-4a8b-8c91-432cd9ece756 · outbound

This paper cites Continuous control with deep reinforcement learning.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Continuous control with deep reinforcement learning

Reference 4

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Observation cb9d415f-2c3c-4231-9b8f-e955d046cf50 · outbound

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

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity End-to-end training of deep visuomotor policies,

Reference 5

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Observation 22dddb93-dc04-423f-b162-b9e273c1e4e3 · outbound

This paper cites Transfer learning for reinforcement learning domains: A survey,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Transfer learning for reinforcement learning domains: A survey,

Reference 6

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Observation 946d8104-344f-429c-aa65-3fbb136de50c · outbound

This paper cites Progressive Neural Networks.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Progressive Neural Networks

Reference 7

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Observation dfd869d2-60df-4c4f-8264-b537b7605e41 · outbound

This paper cites Learning to push by grasping: Using multiple tasks for effective learning,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Learning to push by grasping: Using multiple tasks for effective learning,

Reference 8

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Observation fa51fde7-0668-4a8d-8084-c82746e0bf0f · outbound

This paper cites Successor features for transfer in reinforcement learning,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Successor features for transfer in reinforcement learning,

Reference 9

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Observation 45372384-2e1e-4d9c-9dfd-09fcd13619e2 · outbound

This paper cites Zero-shot task generalization with multi-task deep reinforcement learning,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Zero-shot task generalization with multi-task deep reinforcement learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.888913Z

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Observation 848d7763-1d9e-4a8d-8fb6-d8958d63e836 · outbound

This paper cites Synthesize policies for transfer and adaptation across tasks and environments,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Synthesize policies for transfer and adaptation across tasks and environments,

Reference 11

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Observation ce9ce8b0-ebb4-4cc4-82de-b5bfdd751630 · outbound

This paper cites Mix & match - agent curricula for reinforcement learning,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Mix & match - agent curricula for reinforcement learning,

Reference 12

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Observation 94420c04-f06f-41d2-bc77-4aec1dd9f3fa · outbound

This paper cites Transfer of samples in policy search via multiple importance sampling,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Transfer of samples in policy search via multiple importance sampling,

Reference 13

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Observation 501a507f-17a3-46f1-ba0f-635cbe2e0797 · outbound

This paper cites EPOpt: Learning robust neural network policies using model ensembles,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity EPOpt: Learning robust neural network policies using model ensembles,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.825530Z

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Observation 8e5f9e70-27e1-4879-a94e-ae41512017cb · outbound

This paper cites CAD2RL: Real single-image ﬂight without a single real image,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity CAD2RL: Real single-image ﬂight without a single real image,

Reference 15

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Observation 2378dbce-2dae-4e8a-a333-28c73566df86 · outbound

This paper cites Sim-to- real transfer of robotic control with dynamics randomization,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Sim-to- real transfer of robotic control with dynamics randomization,

Reference 16

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Observation b018b91f-8317-4cdc-b5c8-d3bc1cda306d · outbound

This paper cites Policy transfer with strategy optimization,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Policy transfer with strategy optimization,

Reference 17

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Observation 2300ea12-3228-45ed-b8a6-f947d25b5a18 · outbound

This paper cites Alignment-based transfer learning for robot models,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Alignment-based transfer learning for robot models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.764507Z

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Observation dd95bd5c-a519-4ae2-a117-fb76173aac84 · outbound

This paper cites Unsupervised cross- domain transfer in policy gradient reinforcement learning via manifold alignment,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Unsupervised cross- domain transfer in policy gradient reinforcement learning via manifold alignment,

Reference 19

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Observation e5c4db3c-c4b9-407d-b75d-9e2e804726bb · outbound

This paper cites A preliminary study of transfer learning between unicycle robots,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity A preliminary study of transfer learning between unicycle robots,

Reference 20

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Observation 804f1295-61f7-498b-9477-caf5f6877c3f · outbound

This paper cites Learning modular neural network policies for multi-task and multi-robot transfer,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Learning modular neural network policies for multi-task and multi-robot transfer,

Reference 21

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Observation 995c858a-4b55-4867-a17f-80d8a150f249 · outbound

This paper cites Learning invariant feature spaces to transfer skills with reinforcement learning,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Learning invariant feature spaces to transfer skills with reinforcement learning,

Reference 22

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Observation c9b22367-95b5-4ed0-b1c2-29ce5c3afa5d · outbound

This paper cites Hardware conditioned policies for multi-robot transfer learning,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Hardware conditioned policies for multi-robot transfer learning,

Reference 23

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Observation fc948ede-413f-4ed4-b12b-528e1c4f72a8 · outbound

This paper cites NerveNet: Learning structured policy with graph neural networks,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity NerveNet: Learning structured policy with graph neural networks,

Reference 24

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Observation 1c42cc76-295a-4312-904a-7b82af225d00 · outbound

This paper cites Exploiting Hierarchy for Learning and Transfer in KL-regularized RL.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Exploiting Hierarchy for Learning and Transfer in KL-regularized RL

Reference 26

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Observation fa79ac6e-1312-449c-9b28-8928f1d9875e · outbound

This paper cites A survey of climbing robots: Locomotion and adhesion,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity A survey of climbing robots: Locomotion and adhesion,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.635506Z

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Observation d6994db2-62a3-45b5-b7ee-1001cace0e12 · outbound

This paper cites Dual arm manipulation - a survey,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Dual arm manipulation - a survey,

Reference 28

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Observation c2aeb3f6-9a14-406c-9f69-f6859a87452c · outbound

This paper cites Auto-encoding variational bayes,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Auto-encoding variational bayes,

Reference 29

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Observation a8e385aa-5153-461d-b38f-d6f9b2b4ea33 · outbound

This paper cites Stochastic backprop- agation and approximate inference in deep generative models,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Stochastic backprop- agation and approximate inference in deep generative models,

Reference 30

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Observation e5406848-9a4d-49ee-8f81-3347e7d79854 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Proximal Policy Optimization Algorithms

Reference 31

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Observation 70a192c0-1415-4bf7-886e-efc5b1eaf0d0 · outbound

This paper cites Between mdps and semi-mdps: a framework for temporal abstraction in reinforcement learning,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Between mdps and semi-mdps: a framework for temporal abstraction in reinforcement learning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.580669Z

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Observation 02d17d67-30e4-447d-a945-424b57b48d80 · outbound

This paper cites Hierarchical deep reinforcement learning: Integrating temporal abstrac- tion and intrinsic motivation,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Hierarchical deep reinforcement learning: Integrating temporal abstrac- tion and intrinsic motivation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.566019Z

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Observation 34156e42-7448-4621-a373-231292afd0a8 · outbound

This paper cites The option-critic architecture,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity The option-critic architecture,

Reference 34

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Observation 9a017859-3ad2-4d4f-aeaa-d087783407f8 · outbound

This paper cites FeUdal networks for hierarchical rein- forcement learning,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity FeUdal networks for hierarchical rein- forcement learning,

Reference 35

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Observation 006ff363-140f-4fb1-af9f-a08c005ead24 · outbound

This paper cites Modular multitask reinforcement learning with policy sketches,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Modular multitask reinforcement learning with policy sketches,

Reference 36

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Observation 237423cf-ee40-463d-94d1-e99adea08ca0 · outbound

This paper cites Data-efﬁcient hierarchical reinforcement learning,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Data-efﬁcient hierarchical reinforcement learning,

Reference 37

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Observation 5dd6e680-bfc9-4437-ab03-d69aa0527733 · outbound

This paper cites RL2: Fast reinforcement learning via slow reinforcement learning,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity RL2: Fast reinforcement learning via slow reinforcement learning,

Reference 38

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Observation a432a7ca-38e0-408c-bd49-1f62101682d1 · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Model-agnostic meta-learning for fast adaptation of deep networks,

Reference 39

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Observation 0c611685-1293-49d7-8117-53599a934576 · outbound

This paper cites A simple neural attentive meta-learner,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity A simple neural attentive meta-learner,

Reference 40

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Observation 1b863337-235d-42ab-a6cb-8b0764376222 · outbound

This paper cites Bayesian model-agnostic meta-learning,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Bayesian model-agnostic meta-learning,

Reference 41

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Observation 01a145ce-5f74-4737-aa9c-4abb5897dbe2 · outbound

This paper cites Recasting gradient-based meta-learning as hierarchical bayes,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Recasting gradient-based meta-learning as hierarchical bayes,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.431799Z

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Observation 1f2745b9-627b-43a6-8e0d-c68decd4e07c · outbound

This paper cites Learning to adapt in dynamic, real-world environments through meta-reinforcement learning,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Learning to adapt in dynamic, real-world environments through meta-reinforcement learning,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.417368Z

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Observation 839349f2-9754-4f75-b9e1-6535ad5d931e · outbound

This paper cites Embed to control: A locally linear latent dynamics model for control from raw images,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Embed to control: A locally linear latent dynamics model for control from raw images,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.402608Z

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Observation 62f5c1b8-5be8-49b2-a02b-861eddc9da28 · outbound

This paper cites Dis- entangling factors of variation in deep representations using adversarial training,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Dis- entangling factors of variation in deep representations using adversarial training,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.386833Z

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Observation 9973c2ad-bd0a-4d1c-9dec-5eeb69785944 · outbound

This paper cites Beta-vae: Learning basic visual concepts with a constrained variational framework,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Beta-vae: Learning basic visual concepts with a constrained variational framework,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.371297Z

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Observation 3c9ff6ae-df28-41a1-ae30-d060933944a4 · outbound

This paper cites A hierarchical latent variable encoder-decoder model for generating dialogues,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity A hierarchical latent variable encoder-decoder model for generating dialogues,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.356098Z

Source-reported events for the cited work

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Observation e6cb5dd5-5429-4fc6-9ba1-8a23745ec8f7 · outbound

This paper cites Disentan- gling factors of variation with cycle-consistent variational auto-encoders,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Disentan- gling factors of variation with cycle-consistent variational auto-encoders,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.340768Z

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.

Observation 0399b72f-ddfd-40a3-8e8d-e88c2dce01d6 · outbound

This paper cites Life-long disentangled representation learning with cross- domain latent homologies,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Life-long disentangled representation learning with cross- domain latent homologies,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.325416Z

Source-reported events for the cited work

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Observation 93f87139-5c00-40f5-8554-abfdf1a1ae71 · outbound

This paper cites Learning disentangled joint continuous and discrete repre- sentations,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Learning disentangled joint continuous and discrete repre- sentations,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.310597Z

Source-reported events for the cited work

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Observation db3f45f9-d91b-4db3-bf9d-f411f8ce55ec · outbound

This paper cites Visual reinforcement learning with imagined goals,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Visual reinforcement learning with imagined goals,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.296023Z

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.

Observation afdaf5e6-ab88-4d61-a3b1-03f6f1b5ed9b · outbound

This paper cites Learning discrete and continuous factors of data via alternating disentanglement,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Learning discrete and continuous factors of data via alternating disentanglement,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.281295Z

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.

Observation 936c3052-f810-459f-a6b4-e19a47b1e1b5 · outbound

This paper cites DARLA: Improving zero- shot transfer in reinforcement learning,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity DARLA: Improving zero- shot transfer in reinforcement learning,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.266090Z

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Observation 948f64e1-b673-428c-bf8f-41c2ab7bf2ee · outbound

This paper cites Learning an embedding space for transferable robot skills,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Learning an embedding space for transferable robot skills,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.250849Z

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Observation 9a2a8179-1085-4f47-8a0a-5086bd0b9479 · outbound

This paper cites Transfer learning from synthetic to real images using variational autoencoders for precise position detection,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Transfer learning from synthetic to real images using variational autoencoders for precise position detection,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.235455Z

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Observation c7d2284d-adfb-435c-8bb8-dd3470a2e782 · outbound

This paper cites Efﬁcient model-based deep reinforcement learning with variational state tabulation,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Efﬁcient model-based deep reinforcement learning with variational state tabulation,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.220509Z

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Observation a9d33f4d-3590-4653-a0cf-6af7f48c9ca6 · outbound

This paper cites Recurrent world models facilitate policy evolution,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Recurrent world models facilitate policy evolution,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.204609Z

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Observation e9ded86b-5496-413a-b86b-18b166c34ffc · outbound

This paper cites Transfer of value functions via variational methods,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Transfer of value functions via variational methods,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.187717Z

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Observation cdc23de4-3262-40a0-a936-7ce3181f0ab7 · outbound

This paper cites Variational autoencoder for deep learning of images, labels and captions,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Variational autoencoder for deep learning of images, labels and captions,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.172024Z

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Observation b88b30c3-8685-4a39-9b25-618e94ca0d60 · outbound

This paper cites Diverse and accurate image description using a variational auto-encoder with an additive gaussian encoding space,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Diverse and accurate image description using a variational auto-encoder with an additive gaussian encoding space,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.156110Z

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

Observation d73d4b14-430b-4f1c-985f-a9cf18e06383 · outbound

This paper cites Cross-domain transfer in reinforcement learning using target apprentice,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Cross-domain transfer in reinforcement learning using target apprentice,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.652042Z

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Observation 7b082de2-f69e-40af-b0a2-b108bd1e3d7e · outbound

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

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Mujoco: A physics engine for model- based control,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.139662Z

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

Observation 234ff691-8748-4a3b-8709-6c311ad100e2 · outbound

This paper cites Openai gym,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Openai gym,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.123226Z

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Observation 81ac70ba-efbf-4e97-8a35-5cb19eb877ed · outbound

This paper cites Adam: A method for stochastic optimization,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Adam: A method for stochastic optimization,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-14T13:26:17.984626Z

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Observation 026c8410-5724-4b6a-a0eb-06605fd72710 · outbound

This paper cites Visualizing data using t-SNE,.

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Visualizing data using t-SNE,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:26:18.096940Z

Source-reported events for the cited work

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Pith citing papers

Observation 94a4a3eb-1f80-4fe2-afd4-5de94110bd25 · inbound

Towards Embodiment Scaling Laws in Robot Locomotion cites this paper.

Towards Embodiment Scaling Laws in Robot Locomotion Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T23:02:50.789832Z

Source-reported events for the cited work

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Observation 00d65c99-aab2-4170-b297-46bc2550891d · inbound

DreamPolicy: A Unified World-model Policy for Scalable Humanoid Locomotion cites this paper.

DreamPolicy: A Unified World-model Policy for Scalable Humanoid Locomotion Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-19T12:52:17.859815Z

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