Paper Citation Record · LEDGER

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners

As of 8 August 2026, this Paper Citation Record lists 100 of 118 outbound references and 9 inbound Pith citation observations for arXiv:2505.23150.

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

pith.paper-citation-record.v1
2505.23150 v1

Coverage vector

measured 100 of 118 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:58:54.542081Z

measured 109 of 109 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:39:05.516882Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T23:09:12.737900Z

Reference resolution

100 of 118 outbound references displayed

verified exact0
verified fuzzy23
unresolved76
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c403830a-7572-46f5-8a4c-4e8f99131eac · outbound

This paper cites GPT-4 Technical Report.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners GPT-4 Technical Report

Reference 1

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Observation 80c9da86-63a7-4a64-b95f-3a0d48e2c8c8 · outbound

This paper cites Provable benefits of representational transfer in reinforcement learning.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Provable benefits of representational transfer in reinforcement learning

Reference 2

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Observation 713717d6-e6bd-4c9d-96bd-c26975730a9d · outbound

This paper cites S., Courville, A., and Bellemare, M.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners S., Courville, A., and Bellemare, M

Reference 3

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Observation 97a075bd-184a-4409-aee0-3305870ecba4 · outbound

This paper cites S., Courville, A.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners S., Courville, A

Reference 4

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Observation 7da3fa4c-e85c-4342-99ec-4195f8b9d31f · outbound

This paper cites Hindsight experience replay.Advances in neural information processing systems, 30, 2017.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Hindsight experience replay.Advances in neural information processing systems, 30, 2017

Reference 5

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Observation bf984bb8-9e57-4b9d-b244-bc6220398bcc · outbound

This paper cites M., Baker, B., Chociej, M., Jozefowicz, R., McGrew, B., Pachocki, J., Petron, A., Plappert, M., Powell, G., Ray, A., et al.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners M., Baker, B., Chociej, M., Jozefowicz, R., McGrew, B., Pachocki, J., Petron, A., Plappert, M., Powell, G., Ray, A., et al

Reference 6

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Observation 74c0d758-659e-43e9-ab11-00f55115d6d5 · outbound

This paper cites Video pretraining (vpt): Learning to act by watching unlabeled online videos.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Video pretraining (vpt): Learning to act by watching unlabeled online videos

Reference 7

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Observation 98169282-9aa4-4dae-8152-7ca68d2c59fc · outbound

This paper cites J., Smith, L., Kostrikov, I., and Levine, S.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners J., Smith, L., Kostrikov, I., and Levine, S

Reference 8

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Observation 3b1b6998-d6db-4859-ba31-625e5dc47236 · outbound

This paper cites J., Schaul, T., van Hasselt, H.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners J., Schaul, T., van Hasselt, H

Reference 9

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Observation d9949fcb-109c-4545-853c-02164a0e7727 · outbound

This paper cites G., Naddaf, Y ., Veness, J., and Bowling, M.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners G., Naddaf, Y ., Veness, J., and Bowling, M

Reference 10

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Observation c5f64815-4508-4e5a-ac03-e3cbf631d284 · outbound

This paper cites G., Dabney, W., and Munos, R.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners G., Dabney, W., and Munos, R

Reference 11

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Observation 08d1053d-46cb-4f71-880d-78bc3dd62be7 · outbound

This paper cites Dynamic Programming.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Dynamic Programming

Reference 12

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Observation 2486c5fb-c6b4-443c-8cdf-fd42dd633eb4 · outbound

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Unresolved cited work

Reference 13

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This paper cites P., and Weinberger, K.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners P., and Weinberger, K

Reference 14

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This paper cites J., Leary, C., Maclaurin, D., Necula, G., Paszke, A., VanderPlas, J., Wanderman-Milne, S., et al.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners J., Leary, C., Maclaurin, D., Necula, G., Paszke, A., VanderPlas, J., Wanderman-Milne, S., et al

Reference 15

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Observation 63c3a67c-9aca-4c18-9056-0c246c26dc54 · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners RT-1: Robotics Transformer for Real-World Control at Scale

Reference 16

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Observation 778f8cbc-d862-4bf3-b45f-d40d66689849 · outbound

This paper cites D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al

Reference 17

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Observation c8a57e69-4a22-4384-9865-e7bbadf3fcad · outbound

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

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Decision transformer: Reinforcement learning via sequence modeling

Reference 18

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Observation 8bfdf1d4-ebbf-4fa2-969a-3b77060d52cf · outbound

This paper cites A system for general in-hand object re-orientation.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners A system for general in-hand object re-orientation

Reference 19

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Observation 5c71d3a6-7cbf-4467-85f6-f06c0eb2f829 · outbound

This paper cites Gradnorm: Gradient normaliza- tion for adaptive loss balancing in deep multitask networks.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Gradnorm: Gradient normaliza- tion for adaptive loss balancing in deep multitask networks

Reference 20

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Observation b133e83c-fc66-447e-8f32-286d8c5f2621 · outbound

This paper cites Just pick a sign: Optimizing deep multitask models with gradient sign dropout.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Just pick a sign: Optimizing deep multitask models with gradient sign dropout

Reference 21

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Observation 725d0859-c737-4840-9e5f-ba3f83d84306 · outbound

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Unresolved cited work

Reference 22

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This paper cites F., Leike, J., Brown, T., Martic, M., Legg, S., and Amodei, D.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners F., Leike, J., Brown, T., Martic, M., Legg, S., and Amodei, D

Reference 23

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This paper cites Better exploration with optimistic actor critic.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Better exploration with optimistic actor critic

Reference 24

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This paper cites Magnetic control of tokamak plasmas through deep reinforcement learning.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Magnetic control of tokamak plasmas through deep reinforcement learning

Reference 25

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

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 26

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This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners An image is worth 16x16 words: Transformers for image recognition at scale

Reference 27

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners S., Lynch, C., Chowdhery, A., Ichter, B., Wahid, A., Tompson, J., Vuong, Q., Yu, T., et al

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Unresolved cited work

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners A., Chebotar, Y ., Xiao, T., Irpan, A., Levine, S., Castro, P

Reference 30

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Model-agnostic meta-learning for fast adaptation of deep networks

Reference 31

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners and Gu, S

Reference 32

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Addressing function approximation error in actor-critic methods

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners S., Precup, D., and Meger, D

Reference 34

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Divide-and-conquer reinforcement learning

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Mastering Diverse Domains through World Models

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners TD-MPC2: Scalable, Robust World Models for Continuous Control

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners R., Millman, K

Reference 39

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners T., Wang, Z., Heess, N., and Riedmiller, M

Reference 40

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Efficient multi-task reinforcement learning with cross-task policy guidance

Reference 41

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Scaling Laws for Autoregressive Generative Modeling

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Multi-task deep reinforcement learning with popart

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Training Compute-Optimal Large Language Models

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Otter: A vision-language-action model with text-aware visual feature extraction

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Unresolved cited work

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners H., Czechowski, K., Erhan, D., Finn, C., Kozakowski, P., Levine, S., et al

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Scaling Laws for Neural Language Models

Reference 49

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Champion-level drone racing using deep reinforcement learning

Reference 50

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners OpenVLA: An Open-Source Vision-Language-Action Model

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners and Ba, J

Reference 52

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners C., Lo, W.-Y ., et al

Reference 53

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Unresolved cited work

Reference 54

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Reference 55

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization

Reference 56

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners RMA: Rapid Motor Adaptation for Legged Robots

Reference 57

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Offline q-learning on diverse multi-task data both scales and generalizes

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:05.630424Z

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Observation e53f8be0-5c13-4972-8dd5-fe5ce4b48e33 · outbound

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Reinforcement learning with augmented data

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:05.433016Z

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Observation 6e598f6e-02ff-41e2-80f0-7de53dca1f64 · outbound

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning

Reference 60

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Observation 0ac955de-f366-46dd-950e-f7f7e1d1f34f · outbound

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Hyperspherical Normalization for Scalable Deep Reinforcement Learning

Reference 61

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners End-to-end training of deep visuomotor policies

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:05.163798Z

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Observation ba682875-3697-4628-a572-3f871e74de31 · outbound

This paper cites DeepSeek-V3 Technical Report.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners DeepSeek-V3 Technical Report

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T12:58:50.379474Z

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Observation 391030fa-4064-41f5-a09d-32a19b9a97b0 · outbound

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

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Conflict-averse gradient descent for multi-task learning

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:05.001905Z

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Observation ff021dd4-6f61-420c-ad80-4985741505ef · outbound

This paper cites Moka: Open-vocabulary robotic manipulation through mark-based visual prompting.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Moka: Open-vocabulary robotic manipulation through mark-based visual prompting

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:04.743852Z

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Observation 91825c01-af53-4a35-827c-03fa771c2fe6 · outbound

This paper cites Scaling laws for fine-grained mixture of experts.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Scaling laws for fine-grained mixture of experts

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:04.481489Z

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Observation a5446eea-762d-424c-bc91-e942572d7a78 · outbound

This paper cites Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T12:58:50.612205Z

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Observation 2a72955a-105a-4fd6-824e-1a6f81559308 · outbound

This paper cites An Empirical Model of Large-Batch Training.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners An Empirical Model of Large-Batch Training

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T12:58:50.670391Z

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

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners A., Veness, J., Bellemare, M

Reference 69

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T12:59:04.257681Z

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Observation b5a37fcc-0fb6-4ddd-b758-ab4199734896 · outbound

This paper cites P., Mirza, M., Graves, A., Lillicrap, T., Harley, T., Silver, D., and Kavukcuoglu, K.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners P., Mirza, M., Graves, A., Lillicrap, T., Harley, T., Silver, D., and Kavukcuoglu, K

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:03.997563Z

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Observation abafc6a0-52de-4d8d-a1fa-c3a640fc15c7 · outbound

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Tactical optimism and pessimism for deep reinforcement learning

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:03.761137Z

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Observation 8f320d94-7ca4-4ed6-b067-77c05124fbfe · outbound

This paper cites and Cygan, M.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners and Cygan, M

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:03.545410Z

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Observation 19548d37-4bec-43bc-af16-66f226479d82 · outbound

This paper cites Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T12:58:51.075651Z

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Observation b79eba20-6d7e-4ddb-b599-54112b534780 · outbound

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Bigger, Regularized, Optimistic: scaling for compute and sample-efficient continuous control

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T12:58:51.287792Z

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Observation cc34fa6c-1f32-40c8-b836-35a24ae65bc6 · outbound

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Dinov2: Learning robust visual features without supervision

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:03.335629Z

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Observation 08140eb0-776a-4c7a-be59-1307dba4a575 · outbound

This paper cites Training language models to follow instructions with human feedback.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Training language models to follow instructions with human feedback

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T12:58:51.565324Z

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Observation 3bba43ec-1eaa-4744-9ece-92d7769e9d23 · outbound

This paper cites Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T12:58:51.719632Z

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Observation d4eaee66-7207-4e20-a551-212ec8395e2c · outbound

This paper cites Is Value Learning Really the Main Bottleneck in Offline RL?.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Is Value Learning Really the Main Bottleneck in Offline RL?

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T12:58:51.847608Z

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Observation f4dbe154-c0a7-4194-aec4-404adbed9de7 · outbound

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Flow Q-Learning

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T12:58:51.955281Z

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Observation 8b01f985-6863-4184-b4fd-d48391dbff62 · outbound

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Unresolved cited work

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T12:58:52.070645Z

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:03.113363Z

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Observation 1f3c6d5b-3fbd-431d-b5ed-0507340cfac5 · outbound

This paper cites Efficient off-policy meta- reinforcement learning via probabilistic context variables.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Efficient off-policy meta- reinforcement learning via probabilistic context variables

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:02.900845Z

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Observation 0935f476-d90e-4a90-ab89-f9845ff239e6 · outbound

This paper cites A Generalist Agent.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners A Generalist Agent

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T12:58:52.357891Z

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Observation fe4849cb-8398-425d-b46a-d6a609b6f0a4 · outbound

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Policy Distillation

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T12:58:52.473229Z

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Observation c54498a5-69f8-4676-9eeb-e9dc48e64daa · outbound

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Value-Based Deep RL Scales Predictably

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-07T12:58:52.599976Z

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Observation 312c1e26-ea4e-4218-b376-37e15e0b2dfc · outbound

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners D., Courville, A., and Bachman, P

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:02.700604Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2bf15b1f-6df2-48bb-9ed5-19c29a58c920 · outbound

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Unresolved cited work

Reference 87

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:59:02.436833Z

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Observation 980db95b-203d-45db-9dc7-f0f6d759858c · outbound

This paper cites and Koltun, V.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners and Koltun, V

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:02.224585Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 26518396-25da-4193-9b3b-c8c1a5ad8717 · outbound

This paper cites HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-07T12:58:53.082154Z

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Observation 2d99e650-1b44-4599-ae47-53f38f3ab586 · outbound

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:59:01.908957Z

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Observation d63ad454-a067-4c4b-8a9c-4c038b1d35fd · outbound

This paper cites Deterministic policy gradient algorithms.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Deterministic policy gradient algorithms

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:01.644985Z

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Observation 6390f0ca-ea85-4fef-9b4a-b50d88db26b9 · outbound

This paper cites Mastering the game of go without human knowledge.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Mastering the game of go without human knowledge

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-07T12:58:53.487874Z

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Observation efe21a7b-af83-4aea-b805-06006d46249a · outbound

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

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Multi-task reinforcement learning with context-based representations

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:01.310812Z

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Observation c9aa705f-9b4b-44d3-a5c5-4b0ef5788f1a · outbound

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners T., Abdolmaleki, A., Zhang, J., Groth, O., Bloesch, M., Lampe, T., Brakel, P., Bechtle, S

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:00.982770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 517bebf6-d433-4734-b018-4b8d1cc626b7 · outbound

This paper cites Paco: Parameter-compositional multi-task reinforcement learning.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Paco: Parameter-compositional multi-task reinforcement learning

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:00.682511Z

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Observation 3638475a-9732-4c67-a418-49cf4febf075 · outbound

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Unresolved cited work

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-07T12:58:54.004334Z

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Observation f4797f4a-225b-42be-bab4-c83fa7fde7b1 · outbound

This paper cites DeepMind Control Suite.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners DeepMind Control Suite

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-07T12:58:54.169006Z

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Observation 9ad56e27-cc51-49c5-973b-9397858f3258 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Gemini: A Family of Highly Capable Multimodal Models

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-07T12:58:54.270164Z

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Observation 13c97a2e-7c15-4072-ada9-4c0f675e3410 · outbound

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Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Octo: An Open-Source Generalist Robot Policy

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-07T12:58:54.408075Z

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Observation 4abc9372-2b55-4050-b912-923702c19438 · outbound

This paper cites M., Quan, J., Kirkpatrick, J., Hadsell, R., Heess, N., and Pascanu, R.

Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners M., Quan, J., Kirkpatrick, J., Hadsell, R., Heess, N., and Pascanu, R

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:00.375399Z

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Pith citing papers

Observation bc77ead2-1f30-42fd-9916-5280d93a49ee · inbound

Scaling DRL for Decision Making: A Survey on Data, Network, and Training Budget Strategies cites this paper.

Scaling DRL for Decision Making: A Survey on Data, Network, and Training Budget Strategies Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners

Reference 34

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Observation 0b865dce-dccd-424b-8539-56b73b144627 · inbound

RN-D: Discretized Categorical Actors for On-Policy Reinforcement Learning cites this paper.

RN-D: Discretized Categorical Actors for On-Policy Reinforcement Learning Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners

Reference 1937

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Observation 60621c76-8d7e-4e50-99fc-2dba385bb7b0 · inbound

What Does Flow Matching Bring To TD Learning? cites this paper.

What Does Flow Matching Bring To TD Learning? Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners

Reference 43

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 888cc10a-ff82-4837-a3e4-b20e78351f66 · inbound

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control cites this paper.

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:15:49.716390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9c5a25c9-0ec3-42b4-81d1-2f0be6bf0658 · inbound

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control cites this paper.

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:12:41.363803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 309e830e-b3ea-45f2-9ca8-588e9c61e2ee · inbound

When Does Non-Uniform Replay Matter in Reinforcement Learning? cites this paper.

When Does Non-Uniform Replay Matter in Reinforcement Learning? Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:36:24.607354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2664d873-3fe7-4957-8bac-b87353feff58 · inbound

When Does Non-Uniform Replay Matter in Reinforcement Learning? cites this paper.

When Does Non-Uniform Replay Matter in Reinforcement Learning? Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:32:24.804374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 85285cc0-7eaf-4f1f-be3b-64a47fdd07a0 · inbound

When Does Non-Uniform Replay Matter in Reinforcement Learning? cites this paper.

When Does Non-Uniform Replay Matter in Reinforcement Learning? Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:09:12.743772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 08c63a93-2769-4044-b758-df2313d4dca4 · inbound

Debiased Model-based Representations for Sample-efficient Continuous Control cites this paper.

Debiased Model-based Representations for Sample-efficient Continuous Control Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T07:12:28.425885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.