Paper Citation Record · LEDGER

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2512.18763.

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pith.paper-citation-record.v1
2512.18763 v2

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

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measured 60 of 60 standing notices

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T21:23:27.894346Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

59 of 59 outbound references displayed

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verified fuzzy0
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External citation measurements

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Outbound references

Observation cccccf50-b56f-46a0-a4af-9b92bbb9f1e5 · outbound

This paper cites Bertsekas,Reinforcement Learning and Optimal Control.

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Bertsekas,Reinforcement Learning and Optimal Control

Reference 1

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Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Unresolved cited work

Reference 2

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This paper cites Q-learning,.

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Q-learning,

Reference 3

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Observation 538eac2f-24f4-4606-bc6e-41ac1b2b4d77 · outbound

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

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Convergence results for single-step on-policy reinforcement-learning algorithms,

Reference 4

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This paper cites Kernel-based reinforcement learning,.

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Kernel-based reinforcement learning,

Reference 5

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

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Kernel-based reinforcement learning in average-cost problems,

Reference 6

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Observation 6085959e-d528-487c-8c1f-b659e5943ad8 · outbound

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

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Stochastic kernel temporal difference for reinforcement learning,

Reference 7

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Observation 800e07e6-e3f2-4c7a-8bb0-b8602b0f40a4 · outbound

This paper cites Learning to predict by the methods of temporal differ- ences,.

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Learning to predict by the methods of temporal differ- ences,

Reference 8

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Observation 4d186437-b2a4-478e-aaa4-f711b997671c · outbound

This paper cites Least-squares policy iteration,.

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Least-squares policy iteration,

Reference 9

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Observation 4b082f3d-7235-4fc0-bf83-0d76c3ac3e68 · outbound

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

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Regularized policy iteration with nonparametric function spaces,

Reference 10

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Observation 122b5260-d903-4da2-b62a-8355c89fdfc9 · outbound

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

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Kernel-based least squares policy iteration for reinforcement learning,

Reference 11

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Observation e01dbce6-101e-4ce9-8287-40eb7d39c3e7 · outbound

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

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Online Bellman residual and temporal difference algorithms with predictive error guarantees,

Reference 12

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Observation aa52abcf-19fd-439a-9829-4646586fa9a6 · outbound

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

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

Reference 13

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Observation e16d4662-b278-4b2a-9eb6-f5db820748dc · outbound

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

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Proximal Bellman mappings for rein- forcement learning and their application to robust adaptive filtering,

Reference 14

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This paper cites Nonparametric Bellman map- pings for reinforcement learning: Application to robust adaptive filter- ing,.

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Nonparametric Bellman map- pings for reinforcement learning: Application to robust adaptive filter- ing,

Reference 15

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Observation 8355b67a-2076-4a1a-966c-419ac7be4d1f · outbound

This paper cites Theory of reproducing kernels,.

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Theory of reproducing kernels,

Reference 16

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Observation 64edac9f-38ac-4f7a-8ed2-2d8dd09b363d · outbound

This paper cites Schölkopf and A.

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Schölkopf and A

Reference 17

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Observation a1df23fc-7010-44a7-8e20-25959e1f79bc · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Playing Atari with Deep Reinforcement Learning

Reference 18

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Observation c4ee15a5-c33f-4700-95f4-5bdba6824f16 · outbound

This paper cites Deep reinforcement learning with double Q-learning,.

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Deep reinforcement learning with double Q-learning,

Reference 19

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Observation d9356b85-9b00-4db6-8eae-84ddc859700d · outbound

This paper cites Reinforcement learning for robots using neural networks,.

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Reinforcement learning for robots using neural networks,

Reference 20

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Observation dae98b34-96ee-4f01-978d-cf256a871126 · outbound

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

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Reinforcement learning based on on-line EM algorithm,

Reference 21

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This paper cites Reinforcement learning with Gaussian processes,.

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Reinforcement learning with Gaussian processes,

Reference 22

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Observation 5d3ac583-5915-4746-96ae-a69f00277375 · outbound

This paper cites Reinforcement learning with a Gaussian mixture model,.

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Reinforcement learning with a Gaussian mixture model,

Reference 23

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

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Online reinforcement learning using a probability density estimation,

Reference 24

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Observation 3a6e18fd-5c8e-48d7-9a55-d43fb261ac90 · outbound

This paper cites Distributional deep reinforcement learning with a mixture of Gaussians,.

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Distributional deep reinforcement learning with a mixture of Gaussians,

Reference 25

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Observation dfd0886f-550f-4e81-a439-d071fa951ad9 · outbound

This paper cites Gaussian mixture models,.

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Gaussian mixture models,

Reference 26

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This paper cites McLachlan and D.

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning McLachlan and D

Reference 27

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Observation b75c20cd-f5d4-4155-975e-fe69a9d7b030 · outbound

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Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Maximum likelihood from incomplete data via the EM algorithm,

Reference 28

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Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Unsupervised learning of finite mixture models,

Reference 29

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Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Absil, R

Reference 30

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This paper cites Rie- mannian proximal policy optimization,.

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Rie- mannian proximal policy optimization,

Reference 31

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Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Policy gradient methods for reinforcement learning with function approximation,

Reference 32

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This paper cites Approximation and radial-basis-function networks,.

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Approximation and radial-basis-function networks,

Reference 33

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Observation a34a34e6-1758-4b25-8245-c31e18a4b42b · outbound

This paper cites Riemannian Q-functions for policy iteration in reinforcement learning,.

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Riemannian Q-functions for policy iteration in reinforcement learning,

Reference 34

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Reference 35

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Observation 299d50ca-68bc-4bf7-8b48-5f25f371a6b8 · outbound

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Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Tight performance bounds on greedy policies based on imperfect value functions,

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Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning A correspondence between Bayesian estimation on stochastic processes and smoothing by splines,

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Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Universal approximation capability of EBF neural networks with arbitrary activation functions,

Reference 38

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Reference 39

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Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Williams,Probability with Martingales

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Reference 41

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Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Rudin,Real and Complex Analysis, 3rd ed

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Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Wasserstein Riemannian geometry of Gaussian densities,

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Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning A sampling approach to finding Lyapunov functions for nonlinear discrete-time systems,

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Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Boumal,An Introduction to Optimization on Smooth Manifolds

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Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Early stopping—but when?

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This paper cites Learning near-optimal poli- cies with bellman-residual minimization based fitted policy iteration and a single sample path,.

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Learning near-optimal poli- cies with bellman-residual minimization based fitted policy iteration and a single sample path,

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Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Deterministic Bellman residual minimization,

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Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Big Omicron and big Omega and big Theta,

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Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Reinforcement learning in continuous time and space,

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Observation d99ac932-6bb8-435e-8319-4bcf81e86838 · outbound

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Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Efficient memory-based learning for robot control,

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Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning The swing up control problem for the acrobot,

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Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Dueling network architectures for deep reinforcement learning,

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Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Proximal Policy Optimization Algorithms

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Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Julia: A fresh approach to numerical computing,

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This paper cites Robust reinforcement learning using least squares policy iteration with provable performance guarantees,.

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Robust reinforcement learning using least squares policy iteration with provable performance guarantees,

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Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Geron,Tiny-dqn, https://github.com/ageron/tiny-dqn, 2017

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Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning Density in approximation theory,

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Pith citing papers

Observation ef344002-af4d-4b95-a275-c1b983409b7e · inbound

Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning cites this paper.

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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