On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures | Paper Citation Record

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This paper cites Im- proved algorithms for linear stochastic bandits.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Im- proved algorithms for linear stochastic bandits

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This paper cites Model-based reinforcement learning with a generative model is minimax op- timal.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Model-based reinforcement learning with a generative model is minimax op- timal

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This paper cites Degenerate nonlinear programming with a quadratic growth condition.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Degenerate nonlinear programming with a quadratic growth condition

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On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Fitted q- iteration in continuous action-space mdps

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On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Learning the target network in function space

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This paper cites Finite-time analysis of the multiarmed bandit problem, 2002.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Finite-time analysis of the multiarmed bandit problem, 2002

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This paper cites Minimax regret bounds for reinforcement learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Minimax regret bounds for reinforcement learning

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This paper cites Prov- ably efficient q-learning with low switching cost.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Prov- ably efficient q-learning with low switching cost

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This paper cites Training a helpful and harmless assistant with reinforcement learning from human feedback.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Training a helpful and harmless assistant with reinforcement learning from human feedback

Reference 9

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On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Dynamic programming

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This paper cites Online learning with switching costs and other adaptive adversaries.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Online learning with switching costs and other adaptive adversaries

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This paper cites Information-theoretic considera- tions in batch reinforcement learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Information-theoretic considera- tions in batch reinforcement learning

Reference 12

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On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Deep reinforcement learning from human preferences

Reference 13

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This paper cites Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning

Reference 14

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This paper cites Minimax-optimal off- policy evaluation with linear function approximation.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Minimax-optimal off- policy evaluation with linear function approximation

Reference 15

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This paper cites Doubly Robust Policy Evaluation and Learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Doubly Robust Policy Evaluation and Learning

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This paper cites Tree-based batch mode reinforcement learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Tree-based batch mode reinforcement learning

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This paper cites Discovering faster matrix multipli- cation algorithms with reinforcement learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Discovering faster matrix multipli- cation algorithms with reinforcement learning

Reference 18

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On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Theory of statistical estimation

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This paper cites A Provably Efficient Algorithm for Linear Markov Decision Process with Low Switching Cost.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures A Provably Efficient Algorithm for Linear Markov Decision Process with Low Switching Cost

Reference 20

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This paper cites Batched multi-armed bandits problem.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Batched multi-armed bandits problem

Reference 21

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This paper cites Off-policy deep rein- forcement learning by bootstrapping the covariate shift.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Off-policy deep rein- forcement learning by bootstrapping the covariate shift

Reference 22

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On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Minimax pac bounds on the sample complexity of rein- forcement learning with a generative model

Reference 23

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On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Maxmin expected utility with non-unique prior

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On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Approximate solutions to Markov decision processes

Reference 25

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This paper cites Networkgym: Reinforcement learn- ing environments for multi-access traffic management in net- work simulation.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Networkgym: Reinforcement learn- ing environments for multi-access traffic management in net- work simulation

Reference 26

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This paper cites Consistent on-line off-policy evaluation.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Consistent on-line off-policy evaluation

Reference 27

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This paper cites Bootstrapping fitted q-evaluation for off- policy inference.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Bootstrapping fitted q-evaluation for off- policy inference

Reference 28

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On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Effi- cient estimation of average treatment effects using the estimated propensity score

Reference 29

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On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures A generalization of sampling without replacement from a finite universe

Reference 30

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On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Towards deployment-efficient reinforcement learning: Lower bound and optimality

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On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Aleatoric and epis- temic uncertainty in machine learning: An introduction to con- cepts and methods

Reference 32

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This paper cites Doubly robust off-policy value eval- uation for reinforcement learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Doubly robust off-policy value eval- uation for reinforcement learning

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On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Offline reinforcement learning in large state spaces: Algorithms and guarantees

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This paper cites Is pessimism provably efficient for offline rl? In International Conference on Machine Learning, pages 5084–5096.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Is pessimism provably efficient for offline rl? In International Conference on Machine Learning, pages 5084–5096

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On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Double reinforcement learning for efficient off-policy evaluation in markov decision processes

Reference 36

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On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Efficiently breaking the curse of horizon in off-policy evaluation with double reinforce- ment learning

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On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Near-optimal reinforce- ment learning in polynomial time

Reference 38

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This paper cites Introduction to empirical processes and semiparametric inference, volume 61.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Introduction to empirical processes and semiparametric inference, volume 61

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On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Offline reinforcement learning with fisher divergence critic regularization

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On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Conservative q-learning for offline reinforcement learning

Reference 41

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On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Minimax theory

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On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Batch policy learning under constraints

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On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

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On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Breaking the sample size barrier in model-based reinforcement learning with a generative model

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On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Offline reinforcement learning with closed-form policy improvement operators

Reference 46

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On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Unbi- ased offline evaluation of contextual-bandit-based news article recommendation algorithms

Reference 47

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On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Monte Carlo strategies in scientific computing, volume 10

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This paper cites Breaking the curse of horizon: Infinite-horizon off-policy es- timation.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Breaking the curse of horizon: Infinite-horizon off-policy es- timation

Reference 49

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On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Off-policy policy gradient with stationary distribution cor- rection

Reference 50

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This paper cites Provably good batch off-policy reinforcement learning without great exploration.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Provably good batch off-policy reinforcement learning without great exploration

Reference 51

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This paper cites Mildly conservative q-learning for offline reinforcement learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Mildly conservative q-learning for offline reinforcement learning

Reference 52

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On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures the distribution-norm to the res- cue

Reference 53

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This paper cites Faster sorting algorithms discovered using deep reinforcement learn- ing.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Faster sorting algorithms discovered using deep reinforcement learn- ing

Reference 54

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This paper cites Neural adaptive video streaming with pensieve.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Neural adaptive video streaming with pensieve

Reference 55

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Observation 8b2e305d-de76-487c-835f-3755f4a0be3a · outbound

This paper cites Deployment-efficient reinforce- ment learning via model-based offline optimization.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Deployment-efficient reinforce- ment learning via model-based offline optimization

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.502046Z

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 cb40f6e4-1f27-4e42-bff5-f758f1b319b9 · outbound

This paper cites Dependent central limit theorems and in- variance principles.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Dependent central limit theorems and in- variance principles

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.487751Z

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 58ccbf41-73d4-412d-89f5-14b877a01c8b · outbound

This paper cites Variance-aware off-policy evaluation with linear function ap- proximation.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Variance-aware off-policy evaluation with linear function ap- proximation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.475680Z

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 e34d18aa-ef27-4d2a-9fb0-74054f8e5149 · outbound

This paper cites Human-level control through deep reinforcement learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Human-level control through deep reinforcement learning

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.462963Z

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 dd6bb0c5-0cfa-427b-b9ca-0fed1a73afff · outbound

This paper cites Bootstrapping: A nonparametric approach to statistical infer- ence.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Bootstrapping: A nonparametric approach to statistical infer- ence

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.450599Z

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 e59f5fa6-37ca-4640-8f65-b706af237290 · outbound

This paper cites Finite-time bounds for fit- ted value iteration.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Finite-time bounds for fit- ted value iteration

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.437575Z

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 193c6ec1-b31e-4457-95f6-cac07abce26a · outbound

This paper cites Marginal mean models for dynamic regimes.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Marginal mean models for dynamic regimes

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.422478Z

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 3ccf2f67-d769-44e9-9bce-ee8a2068faaf · outbound

This paper cites Dualdice: Behavior-agnostic estimation of discounted stationary distribu- tion corrections.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Dualdice: Behavior-agnostic estimation of discounted stationary distribu- tion corrections

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.409007Z

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 95de1a03-1199-4c28-ad5b-2985258fee37 · outbound

This paper cites AlgaeDICE: Policy Gradient from Arbitrary Experience.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures AlgaeDICE: Policy Gradient from Arbitrary Experience

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.491915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0d4c04b-e228-4175-ae87-a8383b436721 · outbound

This paper cites Optimal medication dosing from suboptimal clinical ex- amples: A deep reinforcement learning approach.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Optimal medication dosing from suboptimal clinical ex- amples: A deep reinforcement learning approach

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.394785Z

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 c3585e0a-0abb-469f-9e0b-71f14dfd013e · outbound

This paper cites On sample-efficient of- fline reinforcement learning: Data diversity, posterior sampling and beyond.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures On sample-efficient of- fline reinforcement learning: Data diversity, posterior sampling and beyond

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.381978Z

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 19b323a4-cbe9-4848-895f-91a27aa5631a · outbound

This paper cites On instance-dependent bounds for offline reinforcement learning with linear function approximation.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures On instance-dependent bounds for offline reinforcement learning with linear function approximation

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.368016Z

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 2d4b2c17-a3f3-47bd-bd3d-27744fb6f1b5 · outbound

This paper cites Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.354576Z

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 2e04c9c0-c068-49f1-81b0-e36439b6e035 · outbound

This paper cites Batched bandit problems.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Batched bandit problems

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.341189Z

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 4c44f74f-5eb9-4085-b8d9-9d5dd9f2e6d4 · outbound

This paper cites Approximate Dynamic Programming: Solv- ing the curses of dimensionality , volume 703.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Approximate Dynamic Programming: Solv- ing the curses of dimensionality , volume 703

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.326945Z

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 e5b586e5-8f70-4316-b061-bf6d2bf8990a · outbound

This paper cites Eligibility traces for off-policy policy evalua- tion.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Eligibility traces for off-policy policy evalua- tion

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.311762Z

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 45d70d9d-3624-4ccc-8f27-5dd679f15df5 · outbound

This paper cites Markov decision processes.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Markov decision processes

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.298253Z

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 563ed0ae-d2b1-41ed-91ff-088985f8c4ae · outbound

This paper cites Near-optimal deployment effi- ciency in reward-free reinforcement learning with linear func- tion approximation.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Near-optimal deployment effi- ciency in reward-free reinforcement learning with linear func- tion approximation

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.285372Z

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 5cc730c1-b9ae-4717-bff6-d5aed1d48b13 · outbound

This paper cites Sample- efficient reinforcement learning with loglog (t) switching cost.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Sample- efficient reinforcement learning with loglog (t) switching cost

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.270273Z

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 90471ee9-5843-4fbd-be07-5c0ef964fc56 · outbound

This paper cites Logarithmic switch- ing cost in reinforcement learning beyond linear mdps.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Logarithmic switch- ing cost in reinforcement learning beyond linear mdps

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.255721Z

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 d74fba3d-d6a5-40ca-bb2e-ac5dc47a8672 · outbound

This paper cites Bridging offline reinforcement learning and im- itation learning: A tale of pessimism.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Bridging offline reinforcement learning and im- itation learning: A tale of pessimism

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.242121Z

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 08b9b6dd-f4fb-4a25-bcee-9eba6b35c3e6 · outbound

This paper cites Nearly horizon-free offline reinforcement learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Nearly horizon-free offline reinforcement learning

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.228950Z

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 73f5d59e-d8e3-46ff-8735-08a530c69867 · outbound

This paper cites Mastering the game of go with deep neural networks and tree search.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Mastering the game of go with deep neural networks and tree search

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.215211Z

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 60a06f68-e025-467a-9587-758852db3281 · outbound

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

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Mastering the game of go without human knowledge

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.563181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa648aef-6fb2-4b3c-9e69-3af10e8a56ca · outbound

This paper cites Learning to summarize with human feed- back.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Learning to summarize with human feed- back

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.192685Z

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 d0e89996-56c5-4de9-b783-0482330b2bde · outbound

This paper cites Reinforcement learn- ing: An introduction.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Reinforcement learn- ing: An introduction

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.179346Z

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 5c4d9419-5927-4a22-adc4-ac8db1fc9fd2 · outbound

This paper cites Finite time bounds for sampling based fitted value iteration.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Finite time bounds for sampling based fitted value iteration

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.166147Z

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 1f620bd3-35e8-4b44-a8e0-c92594300be9 · outbound

This paper cites Semiparametric theory and missing data, volume 4.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Semiparametric theory and missing data, volume 4

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.578347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5253eba6-d85a-49eb-a3e9-63f1629d1595 · outbound

This paper cites Minimax weight and q-function learning for off-policy evaluation.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Minimax weight and q-function learning for off-policy evaluation

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.143639Z

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 fdef9586-60e1-47ab-aaa9-a545b885a559 · outbound

This paper cites Asymptotic statistics, volume 3.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Asymptotic statistics, volume 3

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.129716Z

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 f87c33c9-fd40-4ca5-8ba6-c586cc08db69 · outbound

This paper cites High-dimensional statistics: A non- asymptotic viewpoint, volume 48.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures High-dimensional statistics: A non- asymptotic viewpoint, volume 48

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.116170Z

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 7b684ee2-762a-4cab-bb9b-37310552c199 · outbound

This paper cites Provably efficient reinforcement learning with linear function approxi- mation under adaptivity constraints.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Provably efficient reinforcement learning with linear function approxi- mation under adaptivity constraints

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.102768Z

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 d95b0957-9ce6-4423-818d-b7197348b8e4 · outbound

This paper cites On gap-dependent bounds for offline reinforcement learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures On gap-dependent bounds for offline reinforcement learning

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.088796Z

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 0646dc31-11d4-48ce-b901-1af3c63df95b · outbound

This paper cites Opti- mal and adaptive off-policy evaluation in contextual bandits.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Opti- mal and adaptive off-policy evaluation in contextual bandits

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.075476Z

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 17268b18-fa42-4ba1-9a94-47bdce98e4c1 · outbound

This paper cites Behavior Regularized Offline Reinforcement Learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Behavior Regularized Offline Reinforcement Learning

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.611265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c6f5143-4834-4b7f-b907-f772f2121fc5 · outbound

This paper cites On the optimality of batch policy optimization algorithms.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures On the optimality of batch policy optimization algorithms

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.061734Z

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 9757f4e0-0dbe-4062-bba3-b3cfcc744b21 · outbound

This paper cites Q* approximation schemes for batch reinforcement learning: A theoretical comparison.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Q* approximation schemes for batch reinforcement learning: A theoretical comparison

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.047894Z

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 189aff4c-fe89-4510-a5a7-af8d297a211c · outbound

This paper cites Towards optimal off-policy evaluation for reinforcement learning with marginal- ized importance sampling.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Towards optimal off-policy evaluation for reinforcement learning with marginal- ized importance sampling

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.034006Z

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 da2895fe-2f71-49aa-bfa3-6016f79f0d28 · outbound

This paper cites Bellman-consistent pessimism for offline rein- forcement learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Bellman-consistent pessimism for offline rein- forcement learning

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.020810Z

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 19817067-7e7a-4a91-9f41-05d340030dd3 · outbound

This paper cites Policy finetuning: Bridging sample-efficient offline and online reinforcement learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Policy finetuning: Bridging sample-efficient offline and online reinforcement learning

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.630025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6064c2ed-6b28-489a-8a2b-74a6bfba6e3b · outbound

This paper cites Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.633815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dfea6f6-3eb1-4951-bbdd-83da7727c7d5 · outbound

This paper cites Asymptotically efficient off- policy evaluation for tabular reinforcement learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Asymptotically efficient off- policy evaluation for tabular reinforcement learning

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:16.998146Z

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 80472f83-d677-47e9-aeff-1e7a3590bdcf · outbound

This paper cites Towards instance-optimal of- fline reinforcement learning with pessimism.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Towards instance-optimal of- fline reinforcement learning with pessimism

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:16.984804Z

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 cc4bef7c-c292-402e-8207-a764985f2dcf · outbound

This paper cites Near-optimal prov- able uniform convergence in offline policy evaluation for rein- forcement learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Near-optimal prov- able uniform convergence in offline policy evaluation for rein- forcement learning

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:16.970026Z

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 5397d07a-78d9-4e51-baa1-2aa64fa26568 · outbound

This paper cites Near-optimal of- fline reinforcement learning via double variance reduction.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Near-optimal of- fline reinforcement learning via double variance reduction

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:16.955788Z

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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