Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T19:04:35.605347Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2607.24292.
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 2026-07-31T19:04:35.605347Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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
61 of 61 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation ff644811-55b7-4e8b-b379-f81120a2c150 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Modular multitask reinforcement learning with policy sketches,
Reference 1
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Observation b069462f-fc37-4726-ad7c-a20504bfcbc1 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Intelligent motion planning for collision free autonomous docking of satellite em- ulation platform using reinforcement learning.IFAC- PapersOnLine, 56(2):3354–3359, 2023
Reference 2
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Observation 4ea9b0ae-1039-4dd7-a975-4ace078d4af7 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Hypernetworks in meta-reinforcement learning
Reference 3
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Observation e9a06953-df1a-4324-a09c-43cd8d594085 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks A Tutorial on Meta-Reinforcement Learning
Reference 4
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Observation 72e8ce52-fee4-4c61-bd4a-f1b3981f4ce0 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Multitask learning.Machine Learning, 28:41–75, 1997
Reference 5
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Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Au- tonomous imaging and mapping of small bodies using deep reinforcement learning
Reference 6
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Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks,
Reference 7
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Observation bc1d6bfe-ca4a-478b-ab40-83bc99b0793b · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Quantifying Generalization in Reinforcement Learning
Reference 8
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Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Quantifying generalization in rein- forcement learning
Reference 9
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Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Learning modular neural network policies for multi-task and multi-robot transfer,
Reference 10
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Observation c21584d2-e44d-41e4-bce7-07ece5d8dda0 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Learning modular neural network policies for multi-task and multi-robot transfer
Reference 11
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Observation 22ea02d6-f446-4a9f-bd95-072ebcae8f9d · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Drift: Deep reinforcement learning for intelligent floating plat- forms trajectories
Reference 12
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Observation 0c4e999f-29b6-425a-98bd-87ca7e3f2c37 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks LoRA: Low-Rank Adaptation of Large Language Models
Reference 13
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Observation afde5f26-aa86-4587-b156-b6debf4539a7 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks FiLM: Visual Reasoning with a General Conditioning Layer
Reference 14
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Observation c25f0527-f6dc-49e7-9af6-890d7a4bde2d · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning
Reference 15
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Observation 2d934bfc-1018-4c3e-ac32-8291d240492d · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Bag of Tricks for Image Classification with Convolutional Neural Networks
Reference 16
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Observation 9024cb24-ec6c-4e15-bb8d-d08b15344167 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Federici, A
Reference 17
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Observation cded274c-2bfb-44e3-82ee-1676494b80d2 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Unresolved cited work
Reference 18
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Observation 52ba5ffa-7d28-488b-898e-68e5e96923fb · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Unresolved cited work
Reference 19
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Observation 0a228c7a-fb77-4bd4-a839-41eb614fe711 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Reference 20
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Observation 3db82900-6b1c-42f7-bc6f-a80bdc641cf2 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Capability-Aware Shared Hypernetworks for Flexible Heterogeneous Multi-Robot Coordination
Reference 21
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Observation 7a212749-32cf-4973-b253-593e3675fa9e · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Six degree-of-freedom body-fixed hovering over unmapped asteroids via lidar altimetry and reinforcement meta- learning.Acta Astronautica, 172:90–99, July 2020
Reference 22
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Observation 725bec9c-f7eb-4dab-9d47-2cb5a1f2e235 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Deep reinforcement learning for six degree-of-freedom planetary landing.Advances in Space Research, 65(7): 1723–1741, 2020
Reference 23
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Observation cdb20b5f-3767-4444-939b-3f3c54fdd20e · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Adams, and Sergey Levine
Reference 24
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Observation 9fdc6024-dcb7-4f0d-a5d6-f61db5cf18c7 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks The phi-sat-1 mission: The first on-board deep neural network demonstrator for satellite earth observation.IEEE Transactions on Geoscience and Remote Sensing, 60:1–14, 2022
Reference 25
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Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks HyperNetworks
Reference 26
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Observation 6638c425-8250-4758-bcad-6f9428afe809 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts
Reference 27
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Observation 36cf5186-d148-40f5-9e84-4d9972892c1a · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Deep reinforcement learning for spacecraft proximity operations guidance
Reference 28
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Observation 782c0680-8178-4de3-b125-14af8762db59 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks A survey on artificial intelligence trends in spacecraft guidance dynamics and control.Astrodynamics, 3(4):287–299, 2019
Reference 29
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Observation 71e9be6a-e522-4602-ac00-228b399513f9 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Learning to achieve goals
Reference 30
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Observation 24de62e5-656e-4ee8-b0e6-7db6671ef8b6 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Scaling up multi- task robotic reinforcement learning
Reference 31
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Observation d0ef1fed-59ab-46c4-a383-6ffa3747badc · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Mitani, T
Reference 32
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Observation 4b9f3ee1-dac5-4821-b7a8-b27f0f202ff7 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Multi-critic actor learning: 10 Teaching RL policies to act with style
Reference 33
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Observation 186e6d8c-84f9-4fc3-b969-6ff46a911091 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Orsula, M
Reference 34
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Observation 5382b1fa-fe3a-4c73-ad6e-1e54f0a72458 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning
Reference 35
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Observation ef922d9a-df8a-43ee-b421-07b21297b102 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Proximal Policy Optimization with Continuous Bounded Action Space via the Beta Distribution
Reference 36
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Observation dbd367ec-8835-4e86-b675-71ca13eb253e · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks An Overview of Multi-Task Learning in Deep Neural Networks
Reference 37
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Observation e1ac0810-96d7-4eaf-9757-3f70876da9b4 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Hypernetwork-ppo for continual reinforcement learning
Reference 38
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Observation d67e8586-66fc-4609-8fad-010fc597f406 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Trust Region Policy Optimization
Reference 39
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Observation 7952a167-0fe7-475b-8845-d3eefe111b55 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Proximal Policy Optimization Algorithms
Reference 40
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Observation 87d040ba-6008-4995-9794-933da99b46fa · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks RSL-RL: A Learning Library for Robotics Research
Reference 41
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Observation d628c1e4-4738-4aba-8520-3b3355260e25 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Projected task-specific layers for multi-task reinforcement learning
Reference 42
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Observation 573819fa-43e4-409f-82f3-a22419a5652a · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Unresolved cited work
Reference 43
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Observation 1b1c325b-ad0d-4641-846c-2837313123c8 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Paco: Parameter-compositional multi-task reinforcement learning.Advances in Neural Information Processing Systems, 35:21495–21507, 2022
Reference 44
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Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Discretizing Continuous Action Space for On-Policy Optimization
Reference 45
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Observation 73862e8b-67b6-4669-9e1f-692435250296 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Distral: Robust Multitask Reinforcement Learning
Reference 46
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Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Domain random- ization for transferring deep neural networks from simu- lation to the real world
Reference 47
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Observation 8b4bf749-f049-4006-8590-0be606dc8c58 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Unresolved cited work
Reference 48
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Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Rein- forcement learning for spacecraft maneuvering near small bodies
Reference 49
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Observation 5153b21d-c3db-45c5-a701-5557849300c7 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Unresolved cited work
Reference 50
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Observation fb890ab5-c441-4159-88e7-57a3ccae5a19 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Multi-task reinforcement learning with soft modular- ization.Advances in Neural Information Processing Systems, 33:4767–4777, 2020
Reference 51
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Observation 99db7208-bd17-4fb9-b840-eef0dd01206d · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Gradient surgery for multi-task learning.Advances in neural information processing systems, 33:5824–5836, 2020
Reference 52
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Observation 81683d4c-db9e-44ab-9f5f-27b4a9b03936 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Gradient Surgery for Multi-Task Learning
Reference 53
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Observation 475cc60e-e3f6-4151-b798-6b1f392b64a8 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
Reference 54
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Observation 1889fe8c-ca34-4423-bcac-c05ed8e3b587 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks A Survey on Multi-Task Learning
Reference 55
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Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks URL https://proceedings
Reference 1289
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Observation 9d353e7f-30cd-4e2d-ab8c-3ecf52fa8411 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Unresolved cited work
Reference 1993
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Observation 8289cb27-daf9-4b9f-a5f1-0ac1c7a7fbea · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Unresolved cited work
Reference 2008
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Observation cb7c4825-8283-489b-bee9-6674ce1a3791 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer
Reference 2016
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Observation 9f87ac19-34d3-4319-855b-a02a7b5541c3 · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Modular Multitask Reinforcement Learning with Policy Sketches
Reference 2017
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Observation a9741f24-dde4-454a-822a-b76afe38141e · outbound
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
Reference 2018
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No inbound Pith citation observations are available.