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Paper Citation Record · LEDGER

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2607.23474.

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pith.paper-citation-record.v1
2607.23474 v1

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measured 57 of 57 reference resolution

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measured 57 of 57 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

57 of 57 outbound references displayed

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External citation measurements

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Outbound references

Observation 77c12d37-8911-494d-8297-b17d53feba0e · outbound

This paper cites Bertsekas, Reinforcement Learning and Optimal Control.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Bertsekas, Reinforcement Learning and Optimal Control

Reference 1

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Observation 1ad43a1f-d9cc-4f0f-a7ea-b4de001dfeda · outbound

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Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Unresolved cited work

Reference 2

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Observation cf49d3f1-281d-4e9c-a6da-bf60913fa2e3 · outbound

This paper cites Q-learning,.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Q-learning,

Reference 3

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Observation 35cc8e5e-47a9-4267-b6a8-27afae3842c2 · outbound

This paper cites Convergence results for single-step on-policy reinforcement- learning algorithms,.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Convergence results for single-step on-policy reinforcement- learning algorithms,

Reference 4

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Observation 26c8c95d-9053-4144-a4de-60890fd23a2a · outbound

This paper cites Kernel-based reinforcement learning,.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Kernel-based reinforcement learning,

Reference 5

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This paper cites Kernel-based reinforcement learning in average-cost problems,.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Kernel-based reinforcement learning in average-cost problems,

Reference 6

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This paper cites Stochastic kernel temporal difference for reinforcement learning,.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Stochastic kernel temporal difference for reinforcement learning,

Reference 7

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Observation 98d13e7e-248f-46e2-be78-54768fec6a00 · outbound

This paper cites Learning to predict by the methods of temporal differences,.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Learning to predict by the methods of temporal differences,

Reference 8

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Observation ae29eda7-2102-4473-b8ec-9f8e0ef627fe · outbound

This paper cites Kernel-based least squares policy iteration for reinforcement learning,.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Kernel-based least squares policy iteration for reinforcement learning,

Reference 9

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This paper cites Least-squares policy iteration,.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Least-squares policy iteration,

Reference 10

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Observation a2b41a20-6a42-477a-824f-dd79b4be21fa · outbound

This paper cites Regularized policy iteration with nonparametric function spaces,.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Regularized policy iteration with nonparametric function spaces,

Reference 11

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Observation 93b0cb23-28f7-40e3-8132-6485576ce3c6 · outbound

This paper cites Online Bellman residual and temporal difference algorithms with predictive error guarantees,.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Online Bellman residual and temporal difference algorithms with predictive error guarantees,

Reference 12

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Observation c6f8070b-b679-4b39-868e-5af43c7f1e56 · outbound

This paper cites Dynamic selection of p-norm in linear adaptive filtering via online kernel-based reinforcement learning,.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Dynamic selection of p-norm in linear adaptive filtering via online kernel-based reinforcement learning,

Reference 13

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Observation 16222bec-4d3a-492b-b0d8-85f35b65bc69 · outbound

This paper cites Proximal Bellman mappings for reinforcement learning and their application to robust adaptive filtering,.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Proximal Bellman mappings for reinforcement learning and their application to robust adaptive filtering,

Reference 14

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Observation 7d09d2e9-0b93-4f53-a016-b3bee09b914d · outbound

This paper cites Nonparametric Bellman mappings for reinforcement learning: Application to robust adaptive filtering,.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Nonparametric Bellman mappings for reinforcement learning: Application to robust adaptive filtering,

Reference 15

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Observation fc67cfa5-10f4-41a5-8333-7a81d5649a92 · outbound

This paper cites Theory of reproducing kernels,.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Theory of reproducing kernels,

Reference 16

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Observation ec04fdbe-2319-46f9-86aa-922b94be3e9a · outbound

This paper cites Schölkopf and A.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Schölkopf and A

Reference 17

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Observation 19a2e99e-9693-4694-b39e-d8c08b193b06 · outbound

This paper cites Reinforcement learning based on on-line EM algorithm,.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Reinforcement learning based on on-line EM algorithm,

Reference 18

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Observation 5545eaf4-8f8f-4c27-83b7-ac236a443f65 · outbound

This paper cites Online reinforcement learning using a probability density estimation,.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Online reinforcement learning using a probability density estimation,

Reference 19

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Observation 4c0e7827-f597-4888-bf2b-4a25750c81ef · outbound

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Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Distributional deep reinforcement learning with a mixture of Gaussians,

Reference 20

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Observation 582bc176-f243-4b3d-b862-9345b9a7625c · outbound

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Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Reinforcement learning with Gaussian processes,

Reference 21

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Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning A distributional perspective on reinforcement learning,

Reference 22

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Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Distributional reinforcement learning with quantile regression,

Reference 23

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Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Gaussian mixture models,

Reference 24

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Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Playing Atari with Deep Reinforcement Learning

Reference 25

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Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Deep reinforcement learning with double Q-learning,

Reference 26

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Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Dueling network architectures for deep reinforcement learning,

Reference 27

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Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Reinforcement learning for robots using neural networks,

Reference 28

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Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Prioritized experience replay,

Reference 29

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Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning The state of sparse training in deep reinforcement learning,

Reference 30

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Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning EIE:Efficientinferenceengineoncompressed deep neural network,

Reference 31

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Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science,

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Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Sparse Networks from Scratch: Faster Training without Losing Performance

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Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Rigging the lottery: Making all tickets winners,

Reference 34

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Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Riemannian Q-functions for policy iteration in reinforcement learning,

Reference 35

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Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning

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Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Towards continual reinforcement learning: A review and perspectives,

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Observation bd1db37f-eafd-4cde-80ad-90830dfba664 · outbound

This paper cites Online reinforcement learning via sparse Gaussian mixture model Q-functions,.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Online reinforcement learning via sparse Gaussian mixture model Q-functions,

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Observation 2e5bcb90-36d8-49f8-9ba0-2a9cf4f7fa98 · outbound

This paper cites an unresolved cited work.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Unresolved cited work

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Observation bf199750-85fe-4310-b16e-7b82217994ec · outbound

This paper cites Proximal Policy Optimization Algorithms.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Proximal Policy Optimization Algorithms

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Observation f0fb4e78-d713-4a9a-a5ae-7678e80b7462 · outbound

This paper cites an unresolved cited work.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Unresolved cited work

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Observation 3e418a3f-3ab4-4556-a558-58ebae2d974e · outbound

This paper cites Absil, R.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Absil, R

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Observation 151febf3-d10f-44fc-9c25-2bafaf6c2ee0 · outbound

This paper cites Riemannian adaptive optimization methods,.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Riemannian adaptive optimization methods,

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Observation d8fa565b-41a6-4011-af03-24cd10bcfd3a · outbound

This paper cites Actor-critic algorithms,.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Actor-critic algorithms,

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Observation dbc7c59e-21a8-4d95-b38c-9cb73654dbb5 · outbound

This paper cites Smoothing the edges: Smooth optimization for sparse regularization using Hadamard overparametrization,.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Smoothing the edges: Smooth optimization for sparse regularization using Hadamard overparametrization,

Reference 45

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Observation 37b5846c-60cb-4369-9e02-e0afbe3519fa · outbound

This paper cites Loss landscapes and optimization in over-parameterized non-linear systems and neural networks,.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Loss landscapes and optimization in over-parameterized non-linear systems and neural networks,

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source=pdf_text observed=2026-07-30T21:23:27.924239Z digest=sha256:08f0ac15559560f260b5378768ed87c4fbf47394041bf9852a3c857c609b54e8

Observation c91e458c-4c0f-427a-a9f9-23f8b49fc5c1 · outbound

This paper cites LASSO, fractional norm and structured sparse estimation using a Hadamard product parametrization,.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning LASSO, fractional norm and structured sparse estimation using a Hadamard product parametrization,

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source=pdf_text observed=2026-07-30T21:23:27.927181Z digest=sha256:5d3a338238bf2369eb24404629b9babdf61cb81d93f776f2a2984e5f83f5b258

Observation d7918145-12b1-4279-bc57-be17fc63a54a · outbound

This paper cites The tail-Hadamard product parametrization algorithm for compressed sensing,.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning The tail-Hadamard product parametrization algorithm for compressed sensing,

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Observation 46eb3f11-04d3-4bc9-b664-ad189ea2350f · outbound

This paper cites Spred: Solving L1 penalty with SGD,.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Spred: Solving L1 penalty with SGD,

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source=pdf_text observed=2026-07-30T21:23:27.933007Z digest=sha256:3798a84bb398a75bab5d8c56a06589cc6af001a1bbd53e8cb8fb2c61b47f3ce3

Observation f21a8951-2273-4c96-879e-8962adb4bb47 · outbound

This paper cites Pennec, S.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Pennec, S

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Observation 3f7f8aa6-4a07-4587-9bfc-40ef591cfa83 · outbound

This paper cites Hall, Lie Groups, Lie Algebras, and Representations: An Elementary Introduction(Graduate Texts in Mathematics).

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Hall, Lie Groups, Lie Algebras, and Representations: An Elementary Introduction(Graduate Texts in Mathematics)

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Observation 3a5cf5a1-fe5c-4dd6-8f89-141480a610b8 · outbound

This paper cites Efficient diversity-based experience replay for deep reinforcement learning,.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Efficient diversity-based experience replay for deep reinforcement learning,

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Observation 4f5cc512-9dea-4d29-ada0-ab4343e4f6d1 · outbound

This paper cites Determinantal point processes for machine learning,.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Determinantal point processes for machine learning,

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Observation 0c6d8f07-ad42-4e24-b77a-b0c4d353fc2d · outbound

This paper cites Clustering experience replay for the effective exploitation in reinforcement learning,.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Clustering experience replay for the effective exploitation in reinforcement learning,

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source=pdf_text observed=2026-07-30T21:23:27.950945Z digest=sha256:de2636c8f92bcb96bbcc5dfcbb0db94792cd8e7933e90a5350d297a57d190c53

Observation 3cbf4609-7d5b-480e-af9e-3ea45855a0de · outbound

This paper cites Explainable reinforcement learning: A survey and comparative review,.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Explainable reinforcement learning: A survey and comparative review,

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Observation ea4e6171-5a7a-46ed-84c3-60a362ed8d00 · outbound

This paper cites an unresolved cited work.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Unresolved cited work

Reference 1988

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Observation 9f618f70-1dd7-4860-b3e8-82124708ac9e · outbound

This paper cites an unresolved cited work.

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning Unresolved cited work

Reference 2025

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source=pdf_text observed=2026-07-30T21:23:27.945260Z digest=sha256:1357558a8637d93b0e3e4d78dc4da4c9233601dfd90dee5bf4161c890fc4b031

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