Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret | Paper Citation Record

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This paper cites write newline.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret write newline

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret and Lazaric, A

Reference 2

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret and Jia, R

Reference 3

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This paper cites Langevin soft actor-critic: Efficient exploration through uncertainty-driven critic learning.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Langevin soft actor-critic: Efficient exploration through uncertainty-driven critic learning

Reference 4

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret G., Osband, I., and Munos, R

Reference 5

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This paper cites Analysis and geometry of Markov diffusion operators, volume 103.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Analysis and geometry of Markov diffusion operators, volume 103

Reference 6

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret and Kolesnikov, A

Reference 7

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret G., Sutton, R

Reference 8

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This paper cites On the log-sobolev constant of log-concave measures, 2023.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret On the log-sobolev constant of log-concave measures, 2023

Reference 9

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This paper cites Concentration inequalities.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Concentration inequalities

Reference 10

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This paper cites J., Leary, C., Maclaurin, D., Necula, G., Paszke, A., Vander P las, J., Wanderman- M ilne, S., and Zhang, Q.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret J., Leary, C., Maclaurin, D., Necula, G., Paszke, A., Vander P las, J., Wanderman- M ilne, S., and Zhang, Q

Reference 11

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret K., Dimitrakakis, C., Eriksson, H., Grover, D., and Jorge, E

Reference 12

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Bayesian linear regression with sparse priors

Reference 13

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This paper cites A note on talagrand’s transportation inequality and logarithmic sobolev inequality.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret A note on talagrand’s transportation inequality and logarithmic sobolev inequality

Reference 14

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This paper cites and Lehec, J.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret and Lehec, J

Reference 15

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Thompson sampling for high-dimensional sparse linear contextual bandits

Reference 16

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Dimension-free log-sobolev inequalities for mixture distributions

Reference 17

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Unresolved cited work

Reference 18

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This paper cites R., Gopalan, A., and Maillard, O.-A.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret R., Gopalan, A., and Maillard, O.-A

Reference 19

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This paper cites Deep reinforcement learning in a handful of trials using probabilistic dynamics models.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Deep reinforcement learning in a handful of trials using probabilistic dynamics models

Reference 20

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This paper cites Bagger: A bayesian algorithm for safe and query-efficient imitation learning.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Bagger: A bayesian algorithm for safe and query-efficient imitation learning

Reference 21

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This paper cites Model based B ayesian exploration.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Model based B ayesian exploration

Reference 22

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Robust Bayesian reinforcement learning through tight lower bounds

Reference 23

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This paper cites A., J Reddi, S., Williamson, S.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret A., J Reddi, S., Williamson, S

Reference 24

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Langevin DQN

Reference 25

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Exponential families in theory and practice

Reference 26

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Sentinel: taming uncertainty with ensemble based distributional reinforcement learning

Reference 27

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This paper cites and Ming, Y.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret and Ming, Y

Reference 28

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Bayesian bellman operators

Reference 29

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Unresolved cited work

Reference 30

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Addressing function approximation error in actor-critic methods

Reference 31

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret J., Tellex, S., Chowdhary, G., Roy, N., and How, J

Reference 32

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Convex optimization: Algorithms and complexity

Reference 33

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret A review of consistency and convergence of posterior distribution

Reference 34

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Bayesian reinforcement learning via deep, sparse sampling

Reference 35

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This paper cites A PAC-Bayesian Link Between Generalisation and Flat Minima.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret A PAC-Bayesian Link Between Generalisation and Flat Minima

Reference 36

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret R., Precup, D., and Xu, P

Reference 37

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret and Stroock, D

Reference 38

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning

Reference 39

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Unresolved cited work

Reference 40

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This paper cites Optimal regret is achievable with bounded approximate inference error: An enhanced bayesian upper confidence bound framework.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Optimal regret is achievable with bounded approximate inference error: An enhanced bayesian upper confidence bound framework

Reference 41

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Tight regret and complexity bounds for thompson sampling via langevin monte carlo

Reference 42

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret R., Precup, D., Anandkumar, A., and Azizzadenesheli, K

Reference 43

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret A Short Note on Concentration Inequalities for Random Vectors with SubGaussian Norm

Reference 44

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret I Can't Believe It's Not Better!

Reference 45

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Unresolved cited work

Reference 46

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret L., Ma, Y., and Mitra, S

Reference 47

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Observation 1ad1c753-7d6a-4f31-98df-ffd962cbe965 · outbound

This paper cites Learning linear-quadratic regulators via thompson sampling with preconditioned langevin dynamics, 2023.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Learning linear-quadratic regulators via thompson sampling with preconditioned langevin dynamics, 2023

Reference 48

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Observation 1c9caac6-c639-432e-946d-6312a8a2bdec · outbound

This paper cites Approximate Thompson Sampling for Learning Linear Quadratic Regulators with $O(\sqrt{T})$ Regret.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Approximate Thompson Sampling for Learning Linear Quadratic Regulators with $O(\sqrt{T})$ Regret

Reference 49

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Observation 83c53a03-c04b-42f0-8f02-a01a3db2f89e · outbound

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Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret and Suzuki, T

Reference 50

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This paper cites and Vuong, T.-D.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret and Vuong, T.-D

Reference 51

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Observation 28579f40-badc-4449-8316-56ae9a7d8da2 · outbound

This paper cites Statistical efficiency of score matching: The view from isoperimetry.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Statistical efficiency of score matching: The view from isoperimetry

Reference 52

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Observation 91e5583c-55a2-499e-be23-2760f4cd570c · outbound

This paper cites and Yin, G.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret and Yin, G

Reference 53

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Observation 73a71098-ab16-4185-9472-979fbfc29f8f · outbound

This paper cites L., Yin, M., Wang, M., Wang, Y.-X., and Ma, Y.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret L., Yin, M., Wang, M., Wang, Y.-X., and Ma, Y

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.675420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8a322473-5f75-4c8c-8742-423250f3d739 · outbound

This paper cites and Szepesv \'a ri, C.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret and Szepesv \'a ri, C

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:24.031192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cae18ede-9ae9-4d98-9178-d6b922bf466d · outbound

This paper cites Concentration of measure and logarithmic sobolev inequalities.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Concentration of measure and logarithmic sobolev inequalities

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.649684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1da38ed7-2be4-4504-b548-5fa0a1b5546c · outbound

This paper cites E., Bottero, A.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret E., Bottero, A

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.634148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4162fbac-612d-4c75-a9ce-5fee7308fa14 · outbound

This paper cites E., Bottero, A.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret E., Bottero, A

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.618336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9c30ffe4-ce24-4a51-8d53-d58e69323d31 · outbound

This paper cites Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-08-10T23:21:24.702595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6397ae1e-6598-46da-91d7-967c9ba33ffc · outbound

This paper cites On approximate thompson sampling with langevin algorithms.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret On approximate thompson sampling with langevin algorithms

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.602908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a68f8364-9790-4cd5-a6f5-689665a3abe5 · outbound

This paper cites Bayesian linear regression.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Bayesian linear regression

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:24.061381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52cf9a73-1abc-4778-884b-81e679bad9fb · outbound

This paper cites S., and Aggarwal, V.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret S., and Aggarwal, V

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.576928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 912e96b7-6941-402d-9eff-b443ff17d278 · outbound

This paper cites A diffusion process perspective on posterior contraction rates for parameters.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret A diffusion process perspective on posterior contraction rates for parameters

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.561995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 91488b25-3b00-4d69-ad9f-8b83d52492bf · outbound

This paper cites Posterior sampling via langevin monte carlo for offline reinforcement learning, 2024.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Posterior sampling via langevin monte carlo for offline reinforcement learning, 2024

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.545714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a8a63be7-1c06-441f-ba95-183bfd24f606 · outbound

This paper cites Convex analysis of the mean field langevin dynamics.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Convex analysis of the mean field langevin dynamics

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.530511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e5099466-59f2-4886-93cb-22227bdfb95e · outbound

This paper cites Variational bayesian reinforcement learning with regret bounds.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Variational bayesian reinforcement learning with regret bounds

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.515426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bf6bbef4-3b77-45f9-8d66-7399ea2f6249 · outbound

This paper cites The uncertainty bellman equation and exploration.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret The uncertainty bellman equation and exploration

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.498575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d582f12f-f343-41d3-807f-3acb4550c0b7 · outbound

This paper cites and Van Roy, B.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret and Van Roy, B

Reference 68

Resolution: verified exact; raw_fallback, observed 2026-08-10T23:21:24.677543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0b1b5790-a9d3-4157-818e-69d014156f58 · outbound

This paper cites and Van Roy, B.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret and Van Roy, B

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.481516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5d408a8f-b347-4bfa-a509-6239aa12bc59 · outbound

This paper cites an unresolved cited work.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:21:25.465731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation adb61100-055d-4ed6-9caf-c3948676dfc0 · outbound

This paper cites (more) efficient reinforcement learning via posterior sampling.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret (more) efficient reinforcement learning via posterior sampling

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.449620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d50b6341-a56c-4766-b725-d6262a0e64b2 · outbound

This paper cites M., Dwaracherla, V., Ibrahimi, M., Lu, X., and Van Roy, B.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret M., Dwaracherla, V., Ibrahimi, M., Lu, X., and Van Roy, B

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.433505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b688bc4f-65a2-4490-90a1-e9a70578e94b · outbound

This paper cites Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration and Planning.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration and Planning

Reference 73

Resolution: verified exact; local_arxiv, observed 2026-08-10T23:21:24.577601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a91e9e13-f817-4feb-b1e8-c73bdd5dcfb0 · outbound

This paper cites Thompson sampling and approximate inference.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Thompson sampling and approximate inference

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.417206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a96770fb-a3ab-4523-81dc-27f308e234d6 · outbound

This paper cites Sample-efficient cross-entropy method for real-time planning.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Sample-efficient cross-entropy method for real-time planning

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.401254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1e92ae7c-9ac7-4c58-8902-23f4b3985910 · outbound

This paper cites Online kernel selection for bayesian reinforcement learning.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Online kernel selection for bayesian reinforcement learning

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.385924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 01c34756-842b-40d2-8fa2-5fd35b2c38a9 · outbound

This paper cites and Van Roy, B.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret and Van Roy, B

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:24.139825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 865994b7-6787-4ecf-b454-598dd2ac2922 · outbound

This paper cites V., Kazerouni, A., Osband, I., and Wen, Z.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret V., Kazerouni, A., Osband, I., and Wen, Z

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.369237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4c6b7d21-9e6d-4d1e-a823-980ab814181e · outbound

This paper cites Posterior sampling for deep reinforcement learning.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Posterior sampling for deep reinforcement learning

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.353788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 67a7d357-6d5d-48dc-9a23-1351b4cdcade · outbound

This paper cites Poincar \'e and log--sobolev inequalities for mixtures.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Poincar \'e and log--sobolev inequalities for mixtures

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.338354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dcedeef4-12cd-4f51-b44e-4f16f236a0f9 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Proximal Policy Optimization Algorithms

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:24.162657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91946533-3031-46d3-9a33-f84cd1bc70ba · outbound

This paper cites J., Lykouris, T., Dudik, M., and Schapire, R.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret J., Lykouris, T., Dudik, M., and Schapire, R

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.321985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cb698d2f-3b88-4fe9-99fa-afd993b76714 · outbound

This paper cites A feynman-kac approach for logarithmic sobolev inequalities, 2021.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret A feynman-kac approach for logarithmic sobolev inequalities, 2021

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.307584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 55f8f941-d5c9-4251-9347-1ab064ce0a05 · outbound

This paper cites an unresolved cited work.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Unresolved cited work

Reference 84

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:21:25.291574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 69c7b25d-f804-4d46-b499-c1a11e5a12be · outbound

This paper cites On the Likelihood that One Unknown Probability Exceeds Another in View of the Evidence of two Samples.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret On the Likelihood that One Unknown Probability Exceeds Another in View of the Evidence of two Samples

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.276278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 76dbb519-25b1-4a83-bded-7e450c2bfbcc · outbound

This paper cites Mujoco: A physics engine for model-based control.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Mujoco: A physics engine for model-based control

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:24.189786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3343825b-824d-43ed-9c0c-d8821252c97a · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:24.195351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8a53be0-225b-4b4f-8b39-24c0c5020054 · outbound

This paper cites and Wibisono, A.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret and Wibisono, A

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.261377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7008a02b-415f-42b3-8947-9d233ef03e9e · outbound

This paper cites an unresolved cited work.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Unresolved cited work

Reference 89

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:21:25.245553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 03612133-d4c6-4eea-8e7a-6d0c86f428eb · outbound

This paper cites Logarithmic sobolev inequalities: conditions and counterexamples.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Logarithmic sobolev inequalities: conditions and counterexamples

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.229534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6ca492d4-4043-4614-961f-09dae7458570 · outbound

This paper cites and Ghosal, S.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret and Ghosal, S

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.209893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4a70c2b1-2396-4ab6-a829-3c527d9eb2c8 · outbound

This paper cites V., Azizzadenesheli, K., and Anandkumar, A.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret V., Azizzadenesheli, K., and Anandkumar, A

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.191355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6e7353e7-4209-44fd-9280-8ea226b52d8e · outbound

This paper cites Mean field langevin actor-critic: Faster convergence and global optimality beyond lazy learning.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Mean field langevin actor-critic: Faster convergence and global optimality beyond lazy learning

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.174268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f10bf7b1-3495-47b8-95d3-cfff16234755 · outbound

This paper cites Accelerating approximate T hompson sampling with underdamped L angevin M onte C arlo.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Accelerating approximate T hompson sampling with underdamped L angevin M onte C arlo

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.157485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f9931586-750f-4ca2-9d73-405d08c23b59 · outbound

This paper cites Varibad: variational bayes-adaptive deep rl via meta-learning.

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret Varibad: variational bayes-adaptive deep rl via meta-learning

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:25.139810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers