Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks | Paper Citation Record

Observation ff644811-55b7-4e8b-b379-f81120a2c150 · outbound

This paper cites Modular multitask reinforcement learning with policy sketches,.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Modular multitask reinforcement learning with policy sketches,

Reference 1

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This paper cites Intelligent motion planning for collision free autonomous docking of satellite em- ulation platform using reinforcement learning.IFAC- PapersOnLine, 56(2):3354–3359, 2023.

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

This paper cites Hypernetworks in meta-reinforcement learning.

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

This paper cites A Tutorial on Meta-Reinforcement Learning.

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

This paper cites Multitask learning.Machine Learning, 28:41–75, 1997.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Multitask learning.Machine Learning, 28:41–75, 1997

Reference 5

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This paper cites Au- tonomous imaging and mapping of small bodies using deep reinforcement learning.

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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This paper cites Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks,.

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

This paper cites Quantifying Generalization in Reinforcement Learning.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Quantifying Generalization in Reinforcement Learning

Reference 8

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This paper cites Quantifying generalization in rein- forcement learning.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Quantifying generalization in rein- forcement learning

Reference 9

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Observation b46875b7-defc-446d-893d-c60436f41232 · outbound

This paper cites Learning modular neural network policies for multi-task and multi-robot transfer,.

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

This paper cites Learning modular neural network policies for multi-task and multi-robot transfer.

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

This paper cites Drift: Deep reinforcement learning for intelligent floating plat- forms trajectories.

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

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

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

This paper cites FiLM: Visual Reasoning with a General Conditioning Layer.

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

This paper cites Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning.

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

This paper cites Bag of Tricks for Image Classification with Convolutional Neural Networks.

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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This paper cites Federici, A.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Federici, A

Reference 17

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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

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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

This paper cites Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks.

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

This paper cites Capability-Aware Shared Hypernetworks for Flexible Heterogeneous Multi-Robot Coordination.

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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This paper cites Six degree-of-freedom body-fixed hovering over unmapped asteroids via lidar altimetry and reinforcement meta- learning.Acta Astronautica, 172:90–99, July 2020.

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

This paper cites Deep reinforcement learning for six degree-of-freedom planetary landing.Advances in Space Research, 65(7): 1723–1741, 2020.

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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This paper cites Adams, and Sergey Levine.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Adams, and Sergey Levine

Reference 24

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This paper cites 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.

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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This paper cites HyperNetworks.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks HyperNetworks

Reference 26

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Observation 6638c425-8250-4758-bcad-6f9428afe809 · outbound

This paper cites Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts.

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

This paper cites Deep reinforcement learning for spacecraft proximity operations guidance.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Deep reinforcement learning for spacecraft proximity operations guidance

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This paper cites A survey on artificial intelligence trends in spacecraft guidance dynamics and control.Astrodynamics, 3(4):287–299, 2019.

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

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Observation 71e9be6a-e522-4602-ac00-228b399513f9 · outbound

This paper cites Learning to achieve goals.

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

This paper cites Scaling up multi- task robotic reinforcement learning.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Scaling up multi- task robotic reinforcement learning

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This paper cites Mitani, T.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Mitani, T

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This paper cites Multi-critic actor learning: 10 Teaching RL policies to act with style.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Multi-critic actor learning: 10 Teaching RL policies to act with style

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This paper cites Orsula, M.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Orsula, M

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This paper cites Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning

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This paper cites Proximal Policy Optimization with Continuous Bounded Action Space via the Beta Distribution.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Proximal Policy Optimization with Continuous Bounded Action Space via the Beta Distribution

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This paper cites An Overview of Multi-Task Learning in Deep Neural Networks.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks An Overview of Multi-Task Learning in Deep Neural Networks

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This paper cites Hypernetwork-ppo for continual reinforcement learning.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Hypernetwork-ppo for continual reinforcement learning

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This paper cites Trust Region Policy Optimization.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Trust Region Policy Optimization

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This paper cites Proximal Policy Optimization Algorithms.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Proximal Policy Optimization Algorithms

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This paper cites RSL-RL: A Learning Library for Robotics Research.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks RSL-RL: A Learning Library for Robotics Research

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This paper cites Projected task-specific layers for multi-task reinforcement learning.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Projected task-specific layers for multi-task reinforcement learning

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Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Unresolved cited work

Reference 43

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This paper cites Paco: Parameter-compositional multi-task reinforcement learning.Advances in Neural Information Processing Systems, 35:21495–21507, 2022.

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

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This paper cites Discretizing Continuous Action Space for On-Policy Optimization.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Discretizing Continuous Action Space for On-Policy Optimization

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This paper cites Distral: Robust Multitask Reinforcement Learning.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Distral: Robust Multitask Reinforcement Learning

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This paper cites Domain random- ization for transferring deep neural networks from simu- lation to the real world.

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

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Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Unresolved cited work

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This paper cites Rein- forcement learning for spacecraft maneuvering near small bodies.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Rein- forcement learning for spacecraft maneuvering near small bodies

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Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Unresolved cited work

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This paper cites Multi-task reinforcement learning with soft modular- ization.Advances in Neural Information Processing Systems, 33:4767–4777, 2020.

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

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This paper cites Gradient surgery for multi-task learning.Advances in neural information processing systems, 33:5824–5836, 2020.

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

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Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Gradient Surgery for Multi-Task Learning

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This paper cites Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning

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This paper cites A Survey on Multi-Task Learning.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks A Survey on Multi-Task Learning

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This paper cites URL https://proceedings.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks URL https://proceedings

Reference 1289

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Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Unresolved cited work

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Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Unresolved cited work

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Observation cb7c4825-8283-489b-bee9-6674ce1a3791 · outbound

This paper cites Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer.

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

This paper cites Modular Multitask Reinforcement Learning with Policy Sketches.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Modular Multitask Reinforcement Learning with Policy Sketches

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-07-31T19:04:31.918269Z

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Observation a9741f24-dde4-454a-822a-b76afe38141e · outbound

This paper cites GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-07-31T19:04:32.442526Z

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