Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T12:16:15.283328Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2607.19628.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T12:16:15.283328Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
66 of 66 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 0686d5cb-7e55-4eff-bdfa-2b095f07c0d3 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Optimal Control of Partial Differential Equations
Reference 1
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Observation 7c260ed2-a519-411f-be2b-3852a105470d · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Unresolved cited work
Reference 2
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Observation 42ad2392-90b0-4448-aa8d-976d160d9914 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Fleming and H
Reference 3
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Observation 06e3e0fe-ef36-4f83-963d-d3531b623c4a · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Sutton and Andrew G
Reference 4
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Observation 5a671d0d-f7bc-44e7-8ea4-9f2860aaff52 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Bertsekas and John N
Reference 5
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Observation b1451670-53fd-4382-a74e-d29d1f81ff0f · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Unresolved cited work
Reference 6
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Observation 6f6b4afc-340f-45a2-924a-20894c53f44e · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Deep reinforcement learning: A brief survey
Reference 7
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Observation feeb43c0-c89c-4dd0-8d11-d1bfdd8d588c · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Bellemare, and Joelle Pineau
Reference 8
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Observation 92c3a7f5-83e2-421d-9c7a-10c7dfdf8c6a · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Human-level control through deep reinforcement learning
Reference 9
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Observation 6af5490a-ec3f-4d8b-89ba-31b9aa11f4c7 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Mastering complex control in moba games with deep reinforcement learning
Reference 10
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Observation 4ad93362-8e30-49ee-9ce5-326630161dac · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Playing Atari with Deep Reinforcement Learning
Reference 11
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Observation e4eb16a3-69c0-417d-8fcb-6143e39dc037 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Deep reinforcement learning with double q-learning
Reference 12
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Observation bb652059-cde2-4aa5-ab8f-9a59aa60f370 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Reinforcement learning for robots using neural networks
Reference 13
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Observation 7ce96309-f9ca-4d14-a39a-eb24f466ea41 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Andrew Bagnell, and Jan Peters
Reference 14
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Observation 21a829e5-c87a-44c7-aae5-45c18664088d · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Towards vision-based deep reinforcement learning for robotic motion control
Reference 15
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Observation f1c97c2d-a894-42c4-8479-fd4e40ef0b6f · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates
Reference 16
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Observation 064ff056-cea0-4d04-a801-b629d07f61f5 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Sim-to-real transfer in deep reinforcement learning for robotics: a survey
Reference 17
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Observation 20f95b64-7545-4122-a1a1-0650b41fa5ab · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Low dimensional state representation learning with robotics priors in continuous action spaces
Reference 18
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Observation 1b4cad3a-969c-4d0a-b7d7-8bc731c7d458 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Control of chaotic systems by deep reinforcement learning
Reference 19
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Observation 5b8fd41c-3ee5-45c2-aa67-d34e2a9b1b9f · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Reinforcement learning for bluff body active flow control in experiments and simulations
Reference 20
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Observation 26f94feb-60dd-41bb-aa15-a22116ab9d21 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Accelerating deep reinforcement learning strategies of flow control through a multi-environment approach
Reference 21
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Observation 93b83026-4ac7-4ffe-850e-a70b04f2a8b3 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Active flow control for bluff body drag reduction using reinforcement learning with partial measurements
Reference 22
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Observation 91f66401-f20f-491f-a4c0-fff9518df2ef · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning
Reference 23
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Observation 416652ab-5202-4acf-a08f-980f95b10cc1 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning
Reference 24
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Observation 195bbfa7-bbf4-45bc-9b3f-bbbce9f612f1 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Parametric PDE Control with Deep Reinforcement Learning and L <sub>0</sub> Sparse Polynomial Policies
Reference 25
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Observation 571d1375-ba70-4570-acc2-fd4e9656545e · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems HypeMARL: Multi- Agent Reinforcement Learning For High-Dimensional, Parametric, and Distributed Systems
Reference 26
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Observation b9220098-34de-43bb-b2de-4b17052ebb1e · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Implementation matters in deep rl
Reference 27
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Observation cf74b94c-5bc6-415f-98bd-b4cda89a357e · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems EPOpt: Learning Robust Neural Network Policies Using Model Ensembles
Reference 28
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Observation c69926f4-b6a4-48a9-9b22-a4677fb03b65 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Challenges of Real-World Reinforcement Learning
Reference 29
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Observation f9976255-2990-4984-8b49-a0f0c397a2da · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Deep reinforcement learning at the edge of the statistical precipice
Reference 30
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Observation 02e8dae2-8c12-4006-b456-62cba3ef9de7 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Assessing Generalization in Deep Reinforcement Learning
Reference 31
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Observation ef17d0c1-1ed7-4fd3-922f-19bbf0618342 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Crossing the reality gap: A survey on sim-to-real transferability of robot controllers in reinforcement learning
Reference 32
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Observation fbcc7291-354b-44f8-b954-992f5b24ea76 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems An empirical investigation of the challenges of real-world reinforcement learning
Reference 33
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Observation f217aba7-8acf-4dd6-9edf-c5f75d82e390 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Aleatoric and epistemic uncertainty in machine learning: An introduc- tion to concepts and methods
Reference 34
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Observation b70add5b-851a-4fe6-9b92-60e89302eeb4 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Uncertainty-aware reinforcement learning agents for noisy environments
Reference 35
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Observation bc38f21a-bb63-4be8-899e-c4fc375be9b1 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Masksembles for Uncertainty Estimation
Reference 36
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Observation 36fa8fef-e768-49ee-95f7-285652da9b03 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Unresolved cited work
Reference 37
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Observation ac9454bb-456b-47ff-8a55-7a896739ffcf · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Sunrise: A simple unified framework for ensemble learning in deep reinforcement learning
Reference 38
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Observation c01fe666-3a2f-429c-8ccd-9862ec3e5a90 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Hyperl: Hypernetwork-based reinforcement learning for control of parametrized dynamical systems
Reference 39
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Observation bfcc7993-2d7a-41cc-b863-d09a2e59d271 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems HyperNetworks
Reference 40
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Observation 9b55948d-b140-4d70-8d14-4f4907a70f0b · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems A Brief Review of Hypernetworks in Deep Learning
Reference 41
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Observation 2a1ccffb-e9d4-452f-93bc-9e6f0cda9e1b · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Unresolved cited work
Reference 42
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Observation 1994bad7-a6ff-4677-a87a-8a8e9117c67a · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Hypernetworks in meta- reinforcement learning
Reference 43
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Observation 34aa6c25-0bb6-464f-8c33-0bce3fe1cea0 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Bayesian Hypernetworks
Reference 44
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Observation be0b92a7-bf83-48f2-84b7-47b70a65890d · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Puterman
Reference 45
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Observation 6b5ef0c3-f265-44dd-9087-55d72692bfec · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Bertsekas
Reference 46
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Observation d71fd274-099e-4b06-a9fd-bf6fee69953a · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Mastering atari, go, chess and shogi by planning with a learned model
Reference 47
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Observation fe921aa0-fafa-459b-b0e1-c55a855ee45e · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Model-Based Reinforcement Learning for Atari
Reference 48
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Observation c93b2799-061f-49fd-915a-b7ebdba9f95f · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Moerland, Joost Broekens, Aske Plaat, and Catholijn M
Reference 49
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Observation 04296ae2-45ed-448b-9c1b-2e00de0501fb · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Unresolved cited work
Reference 50
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Observation a772ee5d-c539-4d5d-a8ee-ca40148d0fef · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Konda and John N
Reference 51
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Observation a71d499e-36a7-4f3b-8b20-993aaa0057a7 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Addressing function approximation error in actor-critic methods
Reference 52
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Observation 7795942c-bb59-4e4b-8df6-6e07df0343d9 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Reference 53
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Observation 09c4a2ea-ca0d-42d4-b385-d5d1ae55e4d6 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Reference 54
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Observation d63c0197-3436-46b2-821d-c1fb36fd4af3 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Addressing function approximation error in actor-critic methods
Reference 55
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Observation c16fac71-c7f6-43f4-83c4-2b030d553668 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Sutton and Andrew G
Reference 56
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Observation 9425f308-bae0-4e3a-82df-d9a314aa5e93 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Continuous control with deep reinforcement learning
Reference 57
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Observation 6ae09b76-d0da-49d8-9031-369edb5ce2b2 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Deterministic policy gradient algorithms
Reference 58
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Observation 7579585c-eead-4743-be02-c5c92cf78efe · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems LALR: Theoretical and Experimental validation of Lipschitz Adaptive Learning Rate in Regression and Neural Networks
Reference 59
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Observation f933a9ae-08fe-4c8b-ad90-49bfc1efee7d · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Randomized Prior Functions for Deep Reinforcement Learning
Reference 60
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Observation 9ddb9b44-1d4c-420d-9d02-61bfa0e51f4c · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems For sale: State-action representation learning for deep reinforcement learning
Reference 61
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Observation a50334ca-f917-441f-92cd-d91444149501 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Kudryashov
Reference 62
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Observation f61980ca-3257-4c3b-8038-5c185ffc9d68 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Evidence on the Regularisation Properties of Maximum-Entropy Reinforcement Learning
Reference 63
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Observation 5b2304bf-9d38-47aa-92a2-86401b4ed93c · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Learning efficient navigation in vortical flow fields
Reference 64
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Observation 4478aa8e-5e07-46c3-b098-8be43c1d33e2 · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems Finite time lyapunov exponent analysis of model predictive control and reinforcement learning
Reference 65
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Observation 34891815-80e2-401a-a95f-b30f329d92dd · outbound
HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems A novel mechanism for mechanosensory-based rheotaxis in larval zebrafish
Reference 66
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No inbound Pith citation observations are available.