Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling | Paper Citation Record

Observation eb104c3c-88a2-4b61-944c-d205dc9f00b3 · outbound

This paper cites Is Conditional Generative Modeling all you need for Decision-Making?.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Is Conditional Generative Modeling all you need for Decision-Making?

Reference 1

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Observation 36099542-422f-4018-8574-f77ac7206ef5 · outbound

This paper cites Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning

Reference 2

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Observation 4827e75b-8caa-4d6a-8737-e24bd90971d5 · outbound

This paper cites Lyapunov- based optimization of edge resources for energy-efficient adaptive federated learning.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Lyapunov- based optimization of edge resources for energy-efficient adaptive federated learning

Reference 3

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Observation 0484aaf9-3369-43cc-897c-b64c00b33c5e · outbound

This paper cites an unresolved cited work.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Unresolved cited work

Reference 4

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Observation bbfce0c0-7a29-4e1c-83a6-0308dc660d6a · outbound

This paper cites Score Regularized Policy Optimization through Diffusion Behavior.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Score Regularized Policy Optimization through Diffusion Behavior

Reference 5

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Observation 74727034-1759-49c4-b9c2-884942bb6f24 · outbound

This paper cites Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling

Reference 7

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Observation 8af82131-b180-4117-82e0-606d8b8fda7f · outbound

This paper cites Timely-throughput optimal scheduling with prediction.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Timely-throughput optimal scheduling with prediction

Reference 8

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Observation 0d10936d-99d9-4224-a98b-383dc5179e76 · outbound

This paper cites Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data

Reference 9

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Observation 5c080717-96c1-40f2-be92-b41c935109f4 · outbound

This paper cites Diffusion Policies creating a Trust Region for Offline Reinforcement Learning.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Diffusion Policies creating a Trust Region for Offline Reinforcement Learning

Reference 10

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Observation e4e56800-408c-489e-8eea-e6053d96c63c · outbound

This paper cites The roles of carbon capture, utilization and storage in the transition to a low-carbon energy system using a stochastic optimal scheduling approach.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling The roles of carbon capture, utilization and storage in the transition to a low-carbon energy system using a stochastic optimal scheduling approach

Reference 11

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Observation b3c2562d-37d5-4b91-b8be-16b7da7ce3e9 · outbound

This paper cites Channel estimation for extremely large-scale mimo: Far-field or near-field? IEEE Transactions on Communications , 70(4):2663–2677, 2022.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Channel estimation for extremely large-scale mimo: Far-field or near-field? IEEE Transactions on Communications , 70(4):2663–2677, 2022

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:58.644959Z

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Observation faed407b-ab62-4259-a36f-c5b8fcd219b8 · outbound

This paper cites Data center energy consumption modeling: A survey.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Data center energy consumption modeling: A survey

Reference 13

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Observation 1103ebb0-abe9-4bb4-8f85-3cf1319db7ac · outbound

This paper cites Channel-aware earliest deadline due fair schedul- ing for wireless multimedia networks.Wireless Personal Communications, 38(2):233–252, 2006.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Channel-aware earliest deadline due fair schedul- ing for wireless multimedia networks.Wireless Personal Communications, 38(2):233–252, 2006

Reference 14

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Observation 1d4a351a-c3dd-4cea-ad12-0857b3731924 · outbound

This paper cites One Step Diffusion via Shortcut Models.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling One Step Diffusion via Shortcut Models

Reference 15

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Observation 0d44e707-aa40-4cb5-bdab-883327d7ad08 · outbound

This paper cites A minimalist approach to offline reinforcement learn- ing.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling A minimalist approach to offline reinforcement learn- ing

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:00.377262Z

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Observation f3a3ebed-635a-4c63-bd92-08d10a7bbe7e · outbound

This paper cites Off-policy deep reinforcement learning with- out exploration.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Off-policy deep reinforcement learning with- out exploration

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:00.362017Z

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Observation 4bc7035a-edd4-4c7c-b780-fc8c49b71bdc · outbound

This paper cites Channel estimation for extremely large-scale massive mimo systems.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Channel estimation for extremely large-scale massive mimo systems

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:00.346376Z

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Observation 6f7444df-37e3-41af-9a6a-0786ccc7060f · outbound

This paper cites IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies

Reference 19

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Observation d456b656-edd8-41d9-bf4e-3fd8decce686 · outbound

This paper cites Double q-learning.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Double q-learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:00.330463Z

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Observation 89bebf86-f693-4666-b5a8-d43c9c49fec6 · outbound

This paper cites Denoising diffusion probabilistic models.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Denoising diffusion probabilistic models

Reference 21

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Observation e887b3d5-eff8-467f-bdb7-330c0805e2ed · outbound

This paper cites Multi-user delay- constrained scheduling with deep recurrent reinforcement learning.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Multi-user delay- constrained scheduling with deep recurrent reinforcement learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:00.304848Z

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Observation 26ef9fee-dfbe-40a6-9f29-86d5ed30babe · outbound

This paper cites When backpressure meets predictive scheduling.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling When backpressure meets predictive scheduling

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:00.289529Z

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Observation d9978b55-8426-4dac-8dda-d9ddf05f7280 · outbound

This paper cites Planning with Diffusion for Flexible Behavior Synthesis.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Planning with Diffusion for Flexible Behavior Synthesis

Reference 24

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Observation e1b04afe-d38c-46ff-8339-9dc2bb8820a4 · outbound

This paper cites A review of power consumption models of servers in data centers.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling A review of power consumption models of servers in data centers

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:00.274376Z

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Observation fbaff9f2-2a9a-40f6-b029-e1fe6a3b0c1b · outbound

This paper cites Joint message-passing and convex optimization framework for energy-efficient surveillance uav scheduling.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Joint message-passing and convex optimization framework for energy-efficient surveillance uav scheduling

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:00.258883Z

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Observation 7b0ea0a7-8470-4233-a8d5-66d4da652555 · outbound

This paper cites Factors influencing user satisfaction with information systems: A systematic review.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Factors influencing user satisfaction with information systems: A systematic review

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:00.244177Z

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Observation 654d3078-4350-4a1f-a2a3-ee14c9ac217b · outbound

This paper cites Efficient diffusion policies for offline reinforcement learning.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Efficient diffusion policies for offline reinforcement learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:00.229034Z

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Observation 3b6f7418-db3f-4326-903a-dbde703a09ed · outbound

This paper cites Understanding diffusion objectives as the elbo with simple data augmentation.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Understanding diffusion objectives as the elbo with simple data augmentation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:00.213827Z

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Observation ac142bea-a9d7-49be-b880-8c11c7855f2f · outbound

This paper cites Variational diffusion models.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Variational diffusion models

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:00.198780Z

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Observation d9e344b9-e39f-409a-a729-65b7af7b2344 · outbound

This paper cites Auto-Encoding Variational Bayes.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Auto-Encoding Variational Bayes

Reference 31

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Observation acd96393-adb9-462a-be53-5e87cfda4227 · outbound

This paper cites Optimization energy consumption with multiple mobile sinks using fuzzy logic in wireless sensor networks.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Optimization energy consumption with multiple mobile sinks using fuzzy logic in wireless sensor networks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:00.183705Z

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Observation 672d1320-f40f-4d34-b1d0-4503b38792b7 · outbound

This paper cites Offline reinforcement learn- ing with fisher divergence critic regularization.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Offline reinforcement learn- ing with fisher divergence critic regularization

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:00.168904Z

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Observation d8e7385d-8502-470f-a2ca-5b12e7b3c5c0 · outbound

This paper cites Offline Reinforcement Learning with Implicit Q-Learning.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Offline Reinforcement Learning with Implicit Q-Learning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:58.770062Z

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Observation 3c62c3c6-bd08-47b8-b207-1267545e8b04 · outbound

This paper cites Stabilizing off- policy q-learning via bootstrapping error reduction.Advances in Neural Information Processing Systems, 32, 2019.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Stabilizing off- policy q-learning via bootstrapping error reduction.Advances in Neural Information Processing Systems, 32, 2019

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:00.153687Z

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Observation 1ddf8937-d414-44c8-a2cc-31856573c654 · outbound

This paper cites Conservative q-learning for offline reinforcement learning.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Conservative q-learning for offline reinforcement learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:00.137391Z

Source-reported events for the cited work

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Observation 38192390-e2ee-44c9-ab8a-1814ded3ad23 · outbound

This paper cites Batch reinforcement learning.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Batch reinforcement learning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:00.122001Z

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Observation cc3b6395-d751-462e-8673-4a0b431a6ecb · outbound

This paper cites Graph colouring meets deep learning: Effective graph neural network models for combinatorial problems.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Graph colouring meets deep learning: Effective graph neural network models for combinatorial problems

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:00.105830Z

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Observation 2dacc0a2-94b0-43fd-b8f6-cfa10a5dc082 · outbound

This paper cites Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 39

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Observation a1928940-b3ac-4414-9416-21b3b53b738b · outbound

This paper cites Low-carbon optimal learning scheduling of the power system based on carbon capture system and carbon emission flow theory.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Low-carbon optimal learning scheduling of the power system based on carbon capture system and carbon emission flow theory

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:00.088182Z

Source-reported events for the cited work

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Observation bdd5e070-d793-436b-a6ac-f2bbe715c980 · outbound

This paper cites Delay-aware vnf scheduling: A rein- forcement learning approach with variable action set.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Delay-aware vnf scheduling: A rein- forcement learning approach with variable action set

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:00.072716Z

Source-reported events for the cited work

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Observation 716d4f33-3d6a-4541-b088-438ae89425ae · outbound

This paper cites Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:58.813895Z

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Observation e1bdf852-3303-467d-9218-25a062571e51 · outbound

This paper cites Offline learning-based multi-user delay-constrained scheduling.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Offline learning-based multi-user delay-constrained scheduling

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:00.056482Z

Source-reported events for the cited work

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Observation edc0878e-8664-48fc-9b74-1918e49aa937 · outbound

This paper cites Learning to schedule tasks with deadline and throughput constraints.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Learning to schedule tasks with deadline and throughput constraints

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:00.038843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 13a0e78d-5d79-4644-a5df-13194e1e92ac · outbound

This paper cites Off-Policy Policy Gradient with State Distribution Correction.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Off-Policy Policy Gradient with State Distribution Correction

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:58.830677Z

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Observation cc15a9e8-b67c-423d-a4f3-e712625eb00d · outbound

This paper cites an unresolved cited work.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:41:00.021500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1808da20-46da-4dda-977d-0d80b12d9684 · outbound

This paper cites Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:58.841613Z

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Observation 7d699583-982f-4f7d-b994-5376fdfd6079 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:58.846992Z

Source-reported events for the cited work

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Observation 2b3ec48e-a301-407f-ba99-194f8a084100 · outbound

This paper cites Contract and lyapunov optimization-based load scheduling and energy management for uav charging stations.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Contract and lyapunov optimization-based load scheduling and energy management for uav charging stations

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:40:59.991204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 10b05c39-daa2-4ce8-aba0-af038accb5cf · outbound

This paper cites Iteratively refined behavior regularization for offline reinforcement learning.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Iteratively refined behavior regularization for offline reinforcement learning

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:40:59.974884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 715cca1e-79e6-4341-acac-0269429a0c07 · outbound

This paper cites Neural adaptive video streaming with pensieve.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Neural adaptive video streaming with pensieve

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:40:59.958337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation baea1345-ff25-4361-b65d-eb11689dab01 · outbound

This paper cites A queuing theory model for fog computing.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling A queuing theory model for fog computing

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:40:59.941046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7478aea4-ebb0-40a2-892e-6cf35439073a · outbound

This paper cites Power allocation in multi-user cellular networks: Deep reinforcement learning approaches.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Power allocation in multi-user cellular networks: Deep reinforcement learning approaches

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:40:59.924972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7f6f0cae-dab6-4f0e-a775-87e0cb76c850 · outbound

This paper cites AlgaeDICE: Policy Gradient from Arbitrary Experience.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling AlgaeDICE: Policy Gradient from Arbitrary Experience

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:58.879382Z

Source-reported events for the cited work

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Observation e0a0a6ad-a5f4-4081-8b7c-3ee819c78dc8 · outbound

This paper cites AWAC: Accelerating Online Reinforcement Learning with Offline Datasets.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:58.885002Z

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Observation c85ed8bd-6c63-436e-812e-c01670288bca · outbound

This paper cites Multi-agent deep reinforcement learning for dynamic power allocation in wireless networks.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Multi-agent deep reinforcement learning for dynamic power allocation in wireless networks

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:40:59.909548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6287a856-fb44-4764-a4d6-d41d3da53147 · outbound

This paper cites Plan better amid conservatism: Offline multi-agent reinforcement learning with actor rectification.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Plan better amid conservatism: Offline multi-agent reinforcement learning with actor rectification

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:40:59.894039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d8845541-7245-4451-a686-35401b5bf420 · outbound

This paper cites Energy-optimal scheduling of mobile cloud computing based on a modified lyapunov optimization method.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Energy-optimal scheduling of mobile cloud computing based on a modified lyapunov optimization method

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:40:59.876244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a902bbbb-a3b9-416e-bfd3-8fb425cb0310 · outbound

This paper cites Energy-optimal scheduling of mobile cloud computing based on a modified lyapunov optimization method.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Energy-optimal scheduling of mobile cloud computing based on a modified lyapunov optimization method

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:40:59.858448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ee382915-9493-4040-b19d-5e364864e4ee · outbound

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

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Is Value Learning Really the Main Bottleneck in Offline RL?

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:58.920844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75f07e48-7d15-4081-a532-2a1f6a126b8e · outbound

This paper cites Online convex optimization for caching networks.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Online convex optimization for caching networks

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:40:59.842918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 27169377-e99f-4a47-b7e5-63db85401bc8 · outbound

This paper cites Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:58.931781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3477d877-8561-4ea9-83fd-54a1b6bef99a · outbound

This paper cites Youtube live and twitch: a tour of user-generated live streaming systems.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Youtube live and twitch: a tour of user-generated live streaming systems

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:40:59.827064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 60707021-027c-4a18-9d48-821e35b4b6f8 · outbound

This paper cites Learn- ing to solve np-complete problems: A graph neural network for decision tsp.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Learn- ing to solve np-complete problems: A graph neural network for decision tsp

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:40:59.811515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3b828ae6-80a8-404e-a356-1c6b08dd9732 · outbound

This paper cites Class-balancing diffusion models.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Class-balancing diffusion models

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:40:59.794331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d2346cf3-6fde-4b68-b25e-fec4eb91a6dc · outbound

This paper cites Random features for large-scale kernel machines.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Random features for large-scale kernel machines

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:58.953805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3079ee55-f0ac-45b6-9904-474566542cbc · outbound

This paper cites Searching for Activation Functions.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Searching for Activation Functions

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:58.958862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5f76dce-ddc7-4719-a28b-8e2922728989 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:58.964581Z

Source-reported events for the cited work

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Observation f83ec46b-f3ff-4b33-9283-d55b0603c44e · outbound

This paper cites Offline reinforcement learning as anti-exploration.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Offline reinforcement learning as anti-exploration

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:40:59.767787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4ca6f296-4bbf-4d52-8db4-2915e48c5f4b · outbound

This paper cites Simple near-optimal scheduling for the m/g/1.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Simple near-optimal scheduling for the m/g/1

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:40:59.751498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b3654b1a-bf95-4193-866f-8d1f87e5cc99 · outbound

This paper cites Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:58.980888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 155b2081-36ce-4ed5-9bae-03935ffcafd0 · outbound

This paper cites an unresolved cited work.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:40:59.735764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6a4740bd-2ef7-4c2c-8718-8cd00c051684 · outbound

This paper cites Deep unsuper- vised learning using nonequilibrium thermodynamics.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Deep unsuper- vised learning using nonequilibrium thermodynamics

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:58.991479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31a4bea0-2260-4282-9c83-976d571a5418 · outbound

This paper cites Denoising Diffusion Implicit Models.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Denoising Diffusion Implicit Models

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:58.997183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ba50498-f344-4bc4-ad93-00a77705a96b · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Generative modeling by estimating gradients of the data distribution

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:59.002715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d679a13a-7d1a-4ec2-853e-f057dfc106c2 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Score-Based Generative Modeling through Stochastic Differential Equations

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:59.008316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a472f1b7-239b-4f79-9aff-ae00314396b7 · outbound

This paper cites Batch learning from logged bandit feed- back through counterfactual risk minimization.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Batch learning from logged bandit feed- back through counterfactual risk minimization

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:40:59.695269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 97bd790a-496e-49a8-939c-75451e36270d · outbound

This paper cites Minimizing age of information with power constraints: Multi-user opportunistic scheduling in multi-state time-varying channels.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Minimizing age of information with power constraints: Multi-user opportunistic scheduling in multi-state time-varying channels

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:40:59.678183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 531f037a-cb62-40f1-a0fc-d8b5e5acf91e · outbound

This paper cites Taotao, X.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Taotao, X

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:40:59.661960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6dfcf16c-fcf9-4b8b-bd50-75a27378687b · outbound

This paper cites Learning combinatorial optimization on graphs: A survey with applications to networking.IEEE Access, 8:120388–120416, 2020.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Learning combinatorial optimization on graphs: A survey with applications to networking.IEEE Access, 8:120388–120416, 2020

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:40:59.646262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 896443db-3b0a-4039-a882-2aee1f53b849 · outbound

This paper cites Scheduling real-time wireless traffic: A network-aided offline reinforcement learning approach.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Scheduling real-time wireless traffic: A network-aided offline reinforcement learning approach

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:40:59.629238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b679d4b7-349c-4b7c-ab55-bb7b16450d45 · outbound

This paper cites Logistics-involved task scheduling in cloud manufacturing with offline deep reinforcement learning.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Logistics-involved task scheduling in cloud manufacturing with offline deep reinforcement learning

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:40:59.611236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation aad60dac-a116-4642-b486-1529543fe211 · outbound

This paper cites Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:59.046141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 337eb5b7-8272-46fe-b0b7-2dc0357b8d8c · outbound

This paper cites Pro- lificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Pro- lificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:40:59.595003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d3af3dad-5843-4e3a-8d2c-39a438ec8b83 · outbound

This paper cites Behavior Regularized Offline Reinforcement Learning.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Behavior Regularized Offline Reinforcement Learning

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-10T16:40:59.057244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02fe5a04-1f6a-4738-82cd-92d1976399d8 · outbound

This paper cites Understanding instant messaging traffic characteristics.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Understanding instant messaging traffic characteristics

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:40:59.578295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1f6a8f42-2456-482d-9ba8-8fc1436aa01c · outbound

This paper cites Offline reinforcement learning for wireless network optimization with mixture datasets.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Offline reinforcement learning for wireless network optimization with mixture datasets

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:40:59.561972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 57dc52da-0a73-4d4d-8da5-0c082b2265f2 · outbound

This paper cites Reles: A neural adaptive multipath scheduler based on deep reinforcement learning.

Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling Reles: A neural adaptive multipath scheduler based on deep reinforcement learning

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:40:59.545078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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