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Paper Citation Record · LEDGER

Relative Value Learning

As of 4 August 2026, this Paper Citation Record lists 100 of 137 outbound references and 0 inbound Pith citation observations for arXiv:2607.21120.

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

pith.paper-citation-record.v1
2607.21120 v1

Coverage vector

measured 100 of 137 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:32:00.321628Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+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

100 of 137 outbound references displayed

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  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0d576ef1-3c54-46f8-a215-e8038d754ee2 · outbound

This paper cites an unresolved cited work.

Relative Value Learning Unresolved cited work

Reference 1

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Observation 89ad0822-cd39-4f62-bac3-f86e9da0ee78 · outbound

This paper cites Proceedings of the Annual Allerton Conference on Communication Control and Computing , volume=.

Relative Value Learning Proceedings of the Annual Allerton Conference on Communication Control and Computing , volume=

Reference 2

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Observation 168953f0-6a32-417d-bfcd-af6ae6f6bfb4 · outbound

This paper cites Advances in neural information processing systems , volume=.

Relative Value Learning Advances in neural information processing systems , volume=

Reference 3

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Observation 6d845c01-746b-47f1-966e-0e53d0ecfa61 · outbound

This paper cites Encyclopedia of optimization , pages=.

Relative Value Learning Encyclopedia of optimization , pages=

Reference 4

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Observation 6ff913ef-2cd1-485a-bcec-5f5a53f633a8 · outbound

This paper cites SIAM Journal on Control and Optimization , volume=.

Relative Value Learning SIAM Journal on Control and Optimization , volume=

Reference 5

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source=arxiv_source observed=2026-08-01T08:31:59.967274Z digest=sha256:62901e9e6dadc67d8ee9f4cb88cafea5bc06a11af40d8d503e7cda274e1236f4

Observation 4eca9edb-f705-4c12-a22e-f817c376c717 · outbound

This paper cites 2014 , publisher=.

Relative Value Learning 2014 , publisher=

Reference 6

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Observation 3e2ea393-700c-429f-b70d-b14199f9460f · outbound

This paper cites Icml , volume=.

Relative Value Learning Icml , volume=

Reference 7

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Observation 24a885e4-2027-424b-92da-172acff2bafe · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Relative Value Learning Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 8

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Observation f6a10bb8-6774-4bda-b855-17cafc65cb99 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Relative Value Learning Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 9

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source=arxiv_source observed=2026-08-01T08:31:59.982648Z digest=sha256:fb685dbc1c47c7e231ac6d9fc6198ec693d06144f8b4f901fb46b5164e59d69b

Observation 6b71877e-3f6a-4bd5-9b98-d137d54281ef · outbound

This paper cites International conference on machine learning , pages=.

Relative Value Learning International conference on machine learning , pages=

Reference 10

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source=arxiv_source observed=2026-08-01T08:31:59.986192Z digest=sha256:e450267b2d5b9ec35fce94d9cc5cd3372b674138574f982ca3c404ad567a3a55

Observation 263ee092-3e03-4062-9e9e-909c61b4999c · outbound

This paper cites International conference on machine learning , pages=.

Relative Value Learning International conference on machine learning , pages=

Reference 11

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Observation 627abe0b-a60c-4105-9d41-fe90cd31776b · outbound

This paper cites International conference on machine learning , pages=.

Relative Value Learning International conference on machine learning , pages=

Reference 12

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Observation 556e2d44-e21e-49a4-ba99-62f0046628ea · outbound

This paper cites International conference on machine learning , pages=.

Relative Value Learning International conference on machine learning , pages=

Reference 13

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Observation eecf4f26-7b8a-49dc-afb4-a778e941ba38 · outbound

This paper cites International conference on machine learning , pages=.

Relative Value Learning International conference on machine learning , pages=

Reference 14

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source=arxiv_source observed=2026-08-01T08:32:00.000811Z digest=sha256:a5102efe8d4eb6b3a7ec4d6632f3058ee07c57be1c4613394586ea05114ec633

Observation ce7949ea-bda8-440d-a757-12be68097a8b · outbound

This paper cites Sample Efficient Actor-Critic with Experience Replay.

Relative Value Learning Sample Efficient Actor-Critic with Experience Replay

Reference 15

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Observation 5828abeb-c244-4eba-a000-1ce396dc76fe · outbound

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

Relative Value Learning Advances in Neural Information Processing Systems , volume=

Reference 16

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Observation a3b671b8-9caa-4f00-93d4-481db103dd08 · outbound

This paper cites an unresolved cited work.

Relative Value Learning Unresolved cited work

Reference 17

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Observation 2884477e-9bd9-4fb4-bfe4-a28089b53237 · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

Relative Value Learning High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 18

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Observation 703baa5e-1d4f-4cce-8642-aff5faab71a4 · outbound

This paper cites Stop Regressing: Training Value Functions via Classification for Scalable Deep RL.

Relative Value Learning Stop Regressing: Training Value Functions via Classification for Scalable Deep RL

Reference 19

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Observation 37065787-596c-4cad-b56d-92035bd7440e · outbound

This paper cites Proceedings of the IEEE international conference on computer vision , pages=.

Relative Value Learning Proceedings of the IEEE international conference on computer vision , pages=

Reference 20

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Observation aa85a5ad-22b0-4ee4-9e59-76013191138f · outbound

This paper cites GELU Activation Function in Deep Learning: A Comprehensive Mathematical Analysis and Performance.

Relative Value Learning GELU Activation Function in Deep Learning: A Comprehensive Mathematical Analysis and Performance

Reference 21

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Observation c1400866-df0a-416e-bec8-1c231eeca9c0 · outbound

This paper cites Proceedings of the fourteenth international conference on artificial intelligence and statistics , pages=.

Relative Value Learning Proceedings of the fourteenth international conference on artificial intelligence and statistics , pages=

Reference 22

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Observation e686bb41-4f0c-49ee-879c-b9acad96b0a8 · outbound

This paper cites Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning.

Relative Value Learning Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning

Reference 23

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Observation fed7bf0b-d4ad-40d7-b057-4cfa2823bd23 · outbound

This paper cites Advances in neural information processing systems , volume=.

Relative Value Learning Advances in neural information processing systems , volume=

Reference 24

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Observation fbbc1e17-b9c6-487b-b32b-7988d58fc7a3 · outbound

This paper cites Artificial Intelligence Review , volume=.

Relative Value Learning Artificial Intelligence Review , volume=

Reference 25

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Observation 09311152-f594-4260-a631-5809fb057196 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

Relative Value Learning Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 26

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Observation e636a94a-449c-4a02-be9c-bcf9eb6cd3b3 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Relative Value Learning Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 27

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Observation ce1e0e09-7922-4495-858d-3e8361cc5aef · outbound

This paper cites Conference on Lifelong Learning Agents , pages=.

Relative Value Learning Conference on Lifelong Learning Agents , pages=

Reference 28

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Observation 1aafc077-d9d7-4034-b4fb-f57b39db3ec5 · outbound

This paper cites Deep Reinforcement Learning Workshop NeurIPS 2022 , year=.

Relative Value Learning Deep Reinforcement Learning Workshop NeurIPS 2022 , year=

Reference 29

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Observation 0165518d-d6da-4831-8f33-afa3515f3912 · outbound

This paper cites Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks.

Relative Value Learning Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks

Reference 30

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Observation 7f1d3b6c-9580-4f56-88e8-49c6ba2b11b2 · outbound

This paper cites Towards Deeper Deep Reinforcement Learning with Spectral Normalization.

Relative Value Learning Towards Deeper Deep Reinforcement Learning with Spectral Normalization

Reference 31

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Observation a9aed3e1-703b-4f9f-b7f4-13b961551d02 · outbound

This paper cites CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity.

Relative Value Learning CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity

Reference 32

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Observation 2ee1e8fa-4456-4f22-a346-809c2d6cfcd4 · outbound

This paper cites Normalization and effective learning rates in reinforcement learning.

Relative Value Learning Normalization and effective learning rates in reinforcement learning

Reference 33

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Observation e3fea54b-8c24-4758-b7bc-6a3619950a96 · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

Relative Value Learning Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 34

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source=arxiv_source observed=2026-08-01T08:32:00.076211Z digest=sha256:527aabefb9b3a99aeec8ca6282dcd5701075e91ddb2b474626f82aeb15e21408

Observation 2fbe75f2-7baf-41c0-a207-17914736a68f · outbound

This paper cites Neurocomputing , volume=.

Relative Value Learning Neurocomputing , volume=

Reference 35

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Observation f194f467-42d2-4ee8-827b-b6aebe2545d3 · outbound

This paper cites Neural Networks , volume=.

Relative Value Learning Neural Networks , volume=

Reference 36

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Observation ce9b018b-db8a-4e07-af70-6a92758acf30 · outbound

This paper cites international conference on machine learning , pages=.

Relative Value Learning international conference on machine learning , pages=

Reference 37

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Observation 7b6cfe6a-fb6c-4254-baed-806059435fd6 · outbound

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Relative Value Learning Searching for Activation Functions

Reference 38

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Observation 69e7ea55-825c-44ec-94bc-4b07c8d6d11b · outbound

This paper cites Mish: A Self Regularized Non-Monotonic Activation Function.

Relative Value Learning Mish: A Self Regularized Non-Monotonic Activation Function

Reference 39

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source=arxiv_source observed=2026-08-01T08:32:00.094258Z digest=sha256:66f06e91d2f872adc521b4d3713b58c32ce62bac237edf1a564830908f5c60c5

Observation 5f94e844-33cd-492e-abc0-801dc1a6dc51 · outbound

This paper cites Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs).

Relative Value Learning Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Reference 40

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source=arxiv_source observed=2026-08-01T08:32:00.098155Z digest=sha256:5bcaf54401785ef1c6d2d58cdad30e813192e5c030f3fa60543b48e944819200

Observation 0f8e689c-d8b4-4d65-93eb-53e3a72cd5d4 · outbound

This paper cites Neural networks , volume=.

Relative Value Learning Neural networks , volume=

Reference 41

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source=arxiv_source observed=2026-08-01T08:32:00.101828Z digest=sha256:3a5d781e4705131786f3ffe605a1690d31a6030c301c90b8a17254ba789bf99e

Observation 361a3a9c-fa6a-4465-a9cd-af8c0e53c58f · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Relative Value Learning Gaussian Error Linear Units (GELUs)

Reference 42

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Observation 95f13796-f1e7-413d-a342-83d370c15dd5 · outbound

This paper cites an unresolved cited work.

Relative Value Learning Unresolved cited work

Reference 43

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Observation 1501f658-0aeb-4008-83b8-7faf5dee7618 · outbound

This paper cites Proceedings of the 27th international conference on machine learning (ICML-10) , pages=.

Relative Value Learning Proceedings of the 27th international conference on machine learning (ICML-10) , pages=

Reference 44

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source=arxiv_source observed=2026-08-01T08:32:00.112314Z digest=sha256:36f10ee4f5785e94f44f9f4c6252a1223d1246637e2c6c5e81c6455bea83d947

Observation 1aec2436-cccf-40cf-bc03-d43699e1fd0a · outbound

This paper cites Neural networks: Tricks of the trade , pages=.

Relative Value Learning Neural networks: Tricks of the trade , pages=

Reference 45

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source=arxiv_source observed=2026-08-01T08:32:00.115769Z digest=sha256:81c59b6d5ccdce925cb99c880df9a7579411008a3a6699002c0f879092198fa9

Observation 0760b783-0412-496b-b2b4-4389fc49f94d · outbound

This paper cites Human-level Atari 200x faster.

Relative Value Learning Human-level Atari 200x faster

Reference 46

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source=arxiv_source observed=2026-08-01T08:32:00.119566Z digest=sha256:1a2177c70826a25dfb496905e53e1900354569f5b15b1fb97ef0105805be9bd9

Observation 13f1f862-a35b-4335-9da9-aea52dd2bd38 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Relative Value Learning Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 47

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source=arxiv_source observed=2026-08-01T08:32:00.123537Z digest=sha256:db71b78e404e97c76cae3aaa62a015d40b4c6875825e7a0016f0f54e6cdab539

Observation 134d768b-fcb2-454a-93de-23f4b2d7c7b7 · outbound

This paper cites Architecture , volume=.

Relative Value Learning Architecture , volume=

Reference 48

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source=arxiv_source observed=2026-08-01T08:32:00.127013Z digest=sha256:2a00df591b205a86de5d933abc639d139a2e6842105b87c7d5dc925cc1574b51

Observation 0d006a61-58a3-465c-bdb6-9bbb8ba0591f · outbound

This paper cites International Conference on Machine Learning , pages=.

Relative Value Learning International Conference on Machine Learning , pages=

Reference 49

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source=arxiv_source observed=2026-08-01T08:32:00.130583Z digest=sha256:5c5c72dbbb4479aa46b96a5207dfbadc8c34932fd079933a0e961c1e5170d763

Observation 822c9805-a5e3-4477-a1aa-446857be4522 · outbound

This paper cites International conference on machine learning , pages=.

Relative Value Learning International conference on machine learning , pages=

Reference 50

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source=arxiv_source observed=2026-08-01T08:32:00.134095Z digest=sha256:af28687cabd8dd6226becd8b9b71952e7f2b5e82686117efec97f554ffbeb0e0

Observation c7f76e2d-c5d0-4b56-aa6e-a1c8e71175e7 · outbound

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

Relative Value Learning Journal of Artificial Intelligence Research , volume=

Reference 51

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source=arxiv_source observed=2026-08-01T08:32:00.137830Z digest=sha256:5c77b8ec2528161c1bafcffc9c54eb5ed4034817802cad17eeff6120c56245b4

Observation f3da6a7e-36b6-4c0f-80ae-bd353f47048b · outbound

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

Relative Value Learning Advances in Neural Information Processing Systems , volume=

Reference 52

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source=arxiv_source observed=2026-08-01T08:32:00.141273Z digest=sha256:dfb529b2d9ed29ebb94de29eae61bb5bc0c531864440c82a5a98df9e181a11a8

Observation f71ec251-39bd-45e5-95ec-ecc982358084 · outbound

This paper cites Advances in neural information processing systems , volume=.

Relative Value Learning Advances in neural information processing systems , volume=

Reference 53

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source=arxiv_source observed=2026-08-01T08:32:00.144667Z digest=sha256:b2e9d2d864df77a9eb88927d06a0795f7d05e85cb64c28d8fdee174299bf0033

Observation ff361e76-87f1-41bc-b688-c99bdd2178aa · outbound

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

Relative Value Learning Advances in Neural Information Processing Systems , volume=

Reference 54

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source=arxiv_source observed=2026-08-01T08:32:00.148174Z digest=sha256:abf79c4bec7b73ea083cda9bc760e407ea800c6ae07d4713192c052f7064ab60

Observation 9a5444a1-2a89-4c0d-9622-82af275e4a0b · outbound

This paper cites International Conference on Machine Learning , pages=.

Relative Value Learning International Conference on Machine Learning , pages=

Reference 55

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source=arxiv_source observed=2026-08-01T08:32:00.152574Z digest=sha256:97e6df6b6f2629ad52cca8039e946f95fcc1f2223934a968baf49ea46747be3b

Observation ab3afdb4-f463-40a6-892e-669252d517b1 · outbound

This paper cites Nature , volume=.

Relative Value Learning Nature , volume=

Reference 56

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source=arxiv_source observed=2026-08-01T08:32:00.156266Z digest=sha256:60ca537323b08b4483b9e5e42ae2eb97b3e31cb0140be32e51f1c8c66a2e700c

Observation 955943a4-07ea-4bd6-bf5a-c4fd2dc28a64 · outbound

This paper cites Proceedings of the national academy of sciences , volume=.

Relative Value Learning Proceedings of the national academy of sciences , volume=

Reference 57

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source=arxiv_source observed=2026-08-01T08:32:00.159791Z digest=sha256:1df28f9111213971a170b45923e83b18034e06efb44d2f013409900ce6225b9d

Observation 940a953d-5fd4-40d4-a9c8-5eaa08987692 · outbound

This paper cites Trends in cognitive sciences , volume=.

Relative Value Learning Trends in cognitive sciences , volume=

Reference 58

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source=arxiv_source observed=2026-08-01T08:32:00.163313Z digest=sha256:bf353054602afd3b9c8d3873f879f85ba51eb217aa47a6d4fc13f3fa1acea32b

Observation 61e57539-d895-4a47-a24c-5b280cef3086 · outbound

This paper cites Psychology of learning and motivation , volume=.

Relative Value Learning Psychology of learning and motivation , volume=

Reference 59

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source=arxiv_source observed=2026-08-01T08:32:00.167011Z digest=sha256:cbe0b86c45a4e3ab0d8da64b1f2ab5c65cac6f18e21e3db02ccdfee0f0af6a9f

Observation cce3e59a-081f-44df-b8ed-6f7323e379ab · outbound

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

Relative Value Learning The Twelfth International Conference on Learning Representations , year=

Reference 60

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source=arxiv_source observed=2026-08-01T08:32:00.170733Z digest=sha256:58b1c2d3f8c2c5ae1e0100e4c453a2530371fa85a0eaec25931d8eda7dddc05c

Observation 3b5d458b-1063-4dcb-bccc-c51a77e9e722 · outbound

This paper cites Disentangling the Causes of Plasticity Loss in Neural Networks.

Relative Value Learning Disentangling the Causes of Plasticity Loss in Neural Networks

Reference 61

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source=arxiv_source observed=2026-08-01T08:32:00.174220Z digest=sha256:d7dc25381fece326c0c2ce84679645b7428b0d1ac062583fb8b01515ad3a129c

Observation 5349a75b-0367-4be7-99c1-a8f420d5ca75 · outbound

This paper cites Scalable agent alignment via reward modeling: a research direction.

Relative Value Learning Scalable agent alignment via reward modeling: a research direction

Reference 62

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source=arxiv_source observed=2026-08-01T08:32:00.178072Z digest=sha256:277fe57be1956f0e483a7e6c57270c3892051dc3162d43260baaa94487038140

Observation 9b2aa3fc-01cd-4289-94fb-86e6066690e7 · outbound

This paper cites Advances in neural information processing systems , volume=.

Relative Value Learning Advances in neural information processing systems , volume=

Reference 63

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source=arxiv_source observed=2026-08-01T08:32:00.182117Z digest=sha256:321f40cf0df817c209dc07f664e79fcd1a6f7316a76b6c292f41c729aa82a194

Observation 5bab5f36-7dde-4bc5-a4e4-7b791a3a692e · outbound

This paper cites Advances in neural information processing systems , volume=.

Relative Value Learning Advances in neural information processing systems , volume=

Reference 64

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source=arxiv_source observed=2026-08-01T08:32:00.185583Z digest=sha256:3d58e9a6038ca8e310601268ecf08ba1b15ecb684f39ef69b62fe594807f7f25

Observation 3e77d4dc-1893-4572-8978-e232590ec55e · outbound

This paper cites Advances in neural information processing systems , volume=.

Relative Value Learning Advances in neural information processing systems , volume=

Reference 65

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source=arxiv_source observed=2026-08-01T08:32:00.189692Z digest=sha256:ffde540abab1b08cd45f876e761963ef170bc1e9b9769efbcd80f4f1c43b96d3

Observation f905dd73-dbce-46dd-8aaa-709414ac1df3 · outbound

This paper cites 1982 , publisher=.

Relative Value Learning 1982 , publisher=

Reference 66

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source=arxiv_source observed=2026-08-01T08:32:00.193919Z digest=sha256:e08a43a206ec3dc04ca094eeeb15bad9d6e92b3b1a2740158e00686f0ab7c5fc

Observation a20e86a1-d6c4-4a00-bf3f-c9228f381985 · outbound

This paper cites The Sciences , volume=.

Relative Value Learning The Sciences , volume=

Reference 67

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source=arxiv_source observed=2026-08-01T08:32:00.198037Z digest=sha256:bd0ce157e10e731d9e065e2c00c1649e7f2b530e11396e2e3f113c1d034570e4

Observation 54eb23d0-d9fa-4f13-9709-8c3b56151020 · outbound

This paper cites Managing extreme AI risks amid rapid progress.

Relative Value Learning Managing extreme AI risks amid rapid progress

Reference 68

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source=arxiv_source observed=2026-08-01T08:32:00.201622Z digest=sha256:c6f692482c95062df1d8ae0541c69748930fb2cf2b4782e0fa252c6908f83392

Observation 9293439a-c9d3-4ab8-8e3f-40efcd7078d9 · outbound

This paper cites , author=.

Relative Value Learning , author=

Reference 69

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source=arxiv_source observed=2026-08-01T08:32:00.205545Z digest=sha256:2336e23b163f880a41a5332efc97ed293aef8c50623101cf7b3d6b4b8fdcee91

Observation df4aadff-d7cd-439b-b8bf-498d0f0bb0c0 · outbound

This paper cites Conference on robot learning , pages=.

Relative Value Learning Conference on robot learning , pages=

Reference 70

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source=arxiv_source observed=2026-08-01T08:32:00.208882Z digest=sha256:b5f94506125e6b6a66f9d1b68d04c3f46abe3318366fa0309421cab68cb15e40

Observation 1de3e3fb-fa70-4b25-adea-d7ade3043892 · outbound

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

Relative Value Learning Advances in Neural Information Processing Systems , volume=

Reference 71

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source=arxiv_source observed=2026-08-01T08:32:00.212934Z digest=sha256:d6e6fd44665bbab298424ffb353286efd1e22b7b485499091ba176cde04641e5

Observation b3e32f87-a441-4263-809c-a4a3d86656f3 · outbound

This paper cites International conference on machine learning , pages=.

Relative Value Learning International conference on machine learning , pages=

Reference 72

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source=arxiv_source observed=2026-08-01T08:32:00.216413Z digest=sha256:57780e9ead787b1c7b287b20f003f2a8a02342b4f8131f65c8b7a163bfc13087

Observation 872d3749-4388-436a-9ef2-e6857443b901 · outbound

This paper cites Skew-Fit: State-Covering Self-Supervised Reinforcement Learning.

Relative Value Learning Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

Reference 73

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source=arxiv_source observed=2026-08-01T08:32:00.219755Z digest=sha256:987db8cc8f696943562353e82b722e7324877e6713e232d347cadf036f81efbe

Observation a5828539-3fc5-4a2d-a8b3-61d5b956d002 · outbound

This paper cites The 10th International Conference on Autonomous Agents and Multiagent Systems-Volume 2 , pages=.

Relative Value Learning The 10th International Conference on Autonomous Agents and Multiagent Systems-Volume 2 , pages=

Reference 74

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source=arxiv_source observed=2026-08-01T08:32:00.223730Z digest=sha256:26d48ab05bdc3e9921a7fb38974a5389dd6bf59d4c03448174eb4d0caab94bdc

Observation 28ed6931-b683-4459-9251-8af966a5ae8a · outbound

This paper cites IJCAI , volume=.

Relative Value Learning IJCAI , volume=

Reference 75

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source=arxiv_source observed=2026-08-01T08:32:00.227892Z digest=sha256:8c23d258db9754f0ee131c1691c9c137de663c9da978c14f73dca57b3b440a9b

Observation 29671395-2eda-4062-ac0f-869e1d2100a9 · outbound

This paper cites International conference on machine learning , pages=.

Relative Value Learning International conference on machine learning , pages=

Reference 76

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source=arxiv_source observed=2026-08-01T08:32:00.231483Z digest=sha256:cf4e373f67e521743bb39ad1b29f5866e4ee9438e2560a43adc49f7d31aba95a

Observation fabaea2b-a096-4435-85e9-743e34db4f37 · outbound

This paper cites Advances in neural information processing systems , volume=.

Relative Value Learning Advances in neural information processing systems , volume=

Reference 77

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source=arxiv_source observed=2026-08-01T08:32:00.235004Z digest=sha256:da759022d7eccf0039be44101da62202b300e1607c681865dbd9841f3ef9c8b3

Observation a1c8e256-683b-4ecb-80f0-580dca024ff5 · outbound

This paper cites 1988 , publisher=.

Relative Value Learning 1988 , publisher=

Reference 78

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source=arxiv_source observed=2026-08-01T08:32:00.238701Z digest=sha256:e10567a338dd4cf2d372cdd29288567ade9ee0394e4c642fe22465348e951535

Observation 03bddbdd-0e0b-48df-8155-1c1800180def · outbound

This paper cites arXiv preprint arXiv:2401.12963 , year=.

Relative Value Learning arXiv preprint arXiv:2401.12963 , year=

Reference 79

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source=arxiv_source observed=2026-08-01T08:32:00.242507Z digest=sha256:a5942abe110b419698ed6e9aa3d93ca7508c5d3a28232d8ff720154393bc2dde

Observation 9c5a4008-b189-42fc-a473-e01a54a376d4 · outbound

This paper cites Foundations and Trends.

Relative Value Learning Foundations and Trends

Reference 80

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source=arxiv_source observed=2026-08-01T08:32:00.246419Z digest=sha256:ef12b99bb96d03f3d4df29aba3b9f8dedd12c0566d81197cef1211eeaacdd0c5

Observation a20579ec-c3f1-41cf-a8c7-4fcd1674e705 · outbound

This paper cites International conference on machine learning , pages=.

Relative Value Learning International conference on machine learning , pages=

Reference 81

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source=arxiv_source observed=2026-08-01T08:32:00.250330Z digest=sha256:b53008537e42ed245f7b11a6fed9cdbb6be560572f1d9d0af9752822ed6febbd

Observation 60afc1df-3fcf-4008-a02c-480292e4773c · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Relative Value Learning Playing Atari with Deep Reinforcement Learning

Reference 82

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source=arxiv_source observed=2026-08-01T08:32:00.254106Z digest=sha256:b40a33a858fd47dc2d8acc1e111bac9ac4f254b1eb6b14d6108b25d5a51741ce

Observation 4b6b982a-b5a7-4997-b16f-8443704ff472 · outbound

This paper cites Advances in neural information processing systems , volume=.

Relative Value Learning Advances in neural information processing systems , volume=

Reference 83

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source=arxiv_source observed=2026-08-01T08:32:00.258113Z digest=sha256:16847ef86c65f331abc25e1536765e6ca83f41b3f5a5e3e8e77b631a131d8505

Observation 15c762ce-cbed-484b-9ce4-2bd1bccc9165 · outbound

This paper cites Emergent Tool Use From Multi-Agent Autocurricula.

Relative Value Learning Emergent Tool Use From Multi-Agent Autocurricula

Reference 84

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source=arxiv_source observed=2026-08-01T08:32:00.261730Z digest=sha256:982ce4c871b6f551150be8d4a243ef4fddad7b155e9cc3885fe3a49abdeb6066

Observation 2be6bcf7-f9f2-41ec-a4d5-13da87948a77 · outbound

This paper cites Artificial Intelligence , volume=.

Relative Value Learning Artificial Intelligence , volume=

Reference 85

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source=arxiv_source observed=2026-08-01T08:32:00.265399Z digest=sha256:ef5ce48cc081b4bba28777ae1730789ac1934b5926a22309493e9a3d9c40fac9

Observation 1061a391-ed08-4731-953d-9dafce161790 · outbound

This paper cites Artificial General Intelligence: 4th International Conference, AGI 2011, Mountain View, CA, USA, August 3-6, 2011.

Relative Value Learning Artificial General Intelligence: 4th International Conference, AGI 2011, Mountain View, CA, USA, August 3-6, 2011

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source=arxiv_source observed=2026-08-01T08:32:00.268821Z digest=sha256:df3c6de7822698c1bef34363f10cc03eecbe4676d5ce8920f13f36a2adbcb535

Observation 7606a3c0-30d9-4f89-b430-a2bc481791c9 · outbound

This paper cites 2016 , publisher=.

Relative Value Learning 2016 , publisher=

Reference 87

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source=arxiv_source observed=2026-08-01T08:32:00.272475Z digest=sha256:608d800c4d2b8d567893ce50ed884264ce5ab945fbb9f6c74c6516681fdd3ab6

Observation 1eb059e8-0796-49fb-a654-29e0d6b39291 · outbound

This paper cites 2018 , publisher=.

Relative Value Learning 2018 , publisher=

Reference 88

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source=arxiv_source observed=2026-08-01T08:32:00.276036Z digest=sha256:ebde0e68efac0d226029c8ff315b20069c5980057d69ac7d80600e9f426f4160

Observation ee961421-1064-4aa3-a697-2f377c46547e · outbound

This paper cites Artificial intelligence safety and security , pages=.

Relative Value Learning Artificial intelligence safety and security , pages=

Reference 89

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source=arxiv_source observed=2026-08-01T08:32:00.279641Z digest=sha256:2285864876b97b979a57694d823207194e9d719334cc2b7edcb71a3abc19b070

Observation 53298e9f-92e3-463e-ba98-c3f06e25e72c · outbound

This paper cites 2017 , publisher=.

Relative Value Learning 2017 , publisher=

Reference 90

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source=arxiv_source observed=2026-08-01T08:32:00.283336Z digest=sha256:38c68a0d7cd4ff21e0182d498c605c15e2e118073b2b26b737955bb4284c5c7c

Observation ec5365c9-ff96-483e-9d42-16b574ccc378 · outbound

This paper cites AI Safety Gridworlds.

Relative Value Learning AI Safety Gridworlds

Reference 91

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source=arxiv_source observed=2026-08-01T08:32:00.287868Z digest=sha256:4abb17a3a8c010cd5798342490a756f30dd2ef7ac04ee6e71ee61db5c36db80e

Observation 9bb48be5-96cf-42bf-ae44-b9f427458deb · outbound

This paper cites 2019 , publisher=.

Relative Value Learning 2019 , publisher=

Reference 92

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source=arxiv_source observed=2026-08-01T08:32:00.291888Z digest=sha256:88b76def703c37e27ed7e51606acbc37932c153bfcaa98f670cc42cef885c9b1

Observation 9673b897-fbf1-46db-8c1e-78c51b7eee10 · outbound

This paper cites Global catastrophic risks , volume=.

Relative Value Learning Global catastrophic risks , volume=

Reference 93

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source=arxiv_source observed=2026-08-01T08:32:00.295444Z digest=sha256:23464e524ddf9dcd9ad8ecb984f6c8c257c9ca1a35a2ed659f809f8d10fad29b

Observation 16b3f2d2-41c9-432c-bbbd-af638e9c4a59 · outbound

This paper cites Road vehicle automation , pages=.

Relative Value Learning Road vehicle automation , pages=

Reference 94

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source=arxiv_source observed=2026-08-01T08:32:00.299191Z digest=sha256:bee031b2961fa005197e508348302a30e2ba8214aac4796f43d2fcd1c9fbb1ef

Observation 3457083a-a7bc-47d0-b118-90ca9cd88342 · outbound

This paper cites Advances in neural information processing systems , volume=.

Relative Value Learning Advances in neural information processing systems , volume=

Reference 95

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source=arxiv_source observed=2026-08-01T08:32:00.303287Z digest=sha256:2053f859a1aa9046f95ee297a6e33d8329ce20217bd64288105cf6eac4e23047

Observation 0c386f22-0c3d-4de4-b447-e946b142f27d · outbound

This paper cites Concrete Problems in AI Safety.

Relative Value Learning Concrete Problems in AI Safety

Reference 96

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source=arxiv_source observed=2026-08-01T08:32:00.307147Z digest=sha256:1b273335ae6f79ea976574dbfb81abd12b7a47bbdb9af91e99631602aeecbe21

Observation b9183977-9950-4e78-9b5a-21aaac9b632f · outbound

This paper cites International conference on machine learning , pages=.

Relative Value Learning International conference on machine learning , pages=

Reference 97

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source=arxiv_source observed=2026-08-01T08:32:00.310932Z digest=sha256:5ad4ccd1c35bbbb2fe94e7b461f373e67f1b8957f47a4c364aeff1a87dd460ce

Observation 297e3ac7-aa16-4b16-8413-29e82563c011 · outbound

This paper cites Science , volume=.

Relative Value Learning Science , volume=

Reference 98

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source=arxiv_source observed=2026-08-01T08:32:00.314338Z digest=sha256:da825eefc877047ca9ee84806c1c9ece17a2e91a569a1e4539baf58257c50203

Observation d7f05819-c79a-4064-a650-7a7036c51ad2 · outbound

This paper cites Conference on robot learning , pages=.

Relative Value Learning Conference on robot learning , pages=

Reference 99

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source=arxiv_source observed=2026-08-01T08:32:00.318171Z digest=sha256:10caf1f1a47c64d358dbae61968a301e40082077e66b6dbdd2d2ce8247adefde

Observation 57340d75-440f-4cd2-ac37-e662ef3b1303 · outbound

This paper cites The International Journal of Robotics Research , volume=.

Relative Value Learning The International Journal of Robotics Research , volume=

Reference 100

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source=arxiv_source observed=2026-08-01T08:32:00.321628Z digest=sha256:3354df75ade22ef57af79ccc9b8eff568e9648061c9bd16b79e88d597b43cf7d

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