Cover Image

Hyper-GoalNet: Goal-Conditioned Manipulation Policy Learning with HyperNetworks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhou, Pei, Yao, Wanting, Luo, Qian, Zhou, Xunzhe, Yang, Yanchao
Format:	Preprint
Published:	2025
Subjects:	Robotics Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DISC: Decoupling Instruction from State-Conditioned Control via Policy Generation
by: Ren, Hanxiang, et al.
Published: (2026)

MaxMI: A Maximal Mutual Information Criterion for Manipulation Concept Discovery
by: Zhou, Pei, et al.
Published: (2024)

GoalNet: Goal Areas Oriented Pedestrian Trajectory Prediction
by: Fadillah, Amar, et al.
Published: (2024)

Act2Goal: From World Model To General Goal-conditioned Policy
by: Zhou, Pengfei, et al.
Published: (2025)

Goal-Conditioned Decision Transformer for Multi-Goal Offline Reinforcement Learning
by: Gajewski, Paweł, et al.
Published: (2024)

General Dynamic Goal Recognition using Goal-Conditioned and Meta Reinforcement Learning
by: Elhadad, Osher, et al.
Published: (2025)

Goal Force: Teaching Video Models To Accomplish Physics-Conditioned Goals
by: Gillman, Nate, et al.
Published: (2026)

HyperTaxel: Hyper-Resolution for Taxel-Based Tactile Signals Through Contrastive Learning
by: Li, Hongyu, et al.
Published: (2024)

FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks
by: Song, Jiarui, et al.
Published: (2025)

SculptDiff: Learning Robotic Clay Sculpting from Humans with Goal Conditioned Diffusion Policy
by: Bartsch, Alison, et al.
Published: (2024)

HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models
by: Ruiz, Nataniel, et al.
Published: (2023)

GR-MG: Leveraging Partially Annotated Data via Multi-Modal Goal-Conditioned Policy
by: Li, Peiyan, et al.
Published: (2024)

HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting
by: Savchenko, Andrey, et al.
Published: (2025)

Goal-Conditioned Data Augmentation for Offline Reinforcement Learning
by: Huang, Xingshuai, et al.
Published: (2024)

Planning as Descent: Goal-Conditioned Latent Trajectory Synthesis in Learned Energy Landscapes
by: García, Carlos Vélez, et al.
Published: (2025)

Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy
by: Cao, Chenyang, et al.
Published: (2024)

SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning
by: Sikchi, Harshit, et al.
Published: (2023)

Score the Steps, Not Just the Goal: VLM-Based Subgoal Evaluation for Robotic Manipulation
by: ElMallah, Ramy, et al.
Published: (2025)

GenDexHand: Generative Simulation for Dexterous Hands
by: Chen, Feng, et al.
Published: (2025)

Scalable Hierarchical Reinforcement Learning for Hyper Scale Multi-Robot Task Planning
by: Zhou, Xuan, et al.
Published: (2024)

(PASS) Visual Prompt Locates Good Structure Sparsity through a Recurrent HyperNetwork
by: Huang, Tianjin, et al.
Published: (2024)

Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning
by: Duan, Yuanlin, et al.
Published: (2024)

Multi-Goal Dexterous Hand Manipulation using Probabilistic Model-based Reinforcement Learning
by: Jiang, Yingzhuo, et al.
Published: (2025)

Data-Efficient Hierarchical Goal-Conditioned Reinforcement Learning via Normalizing Flows
by: Garg, Shaswat, et al.
Published: (2026)

Unveiling Hidden Pivotal Players with GoalNet: A GNN-Based Soccer Player Evaluation System
by: Jiang, Jacky Hao, et al.
Published: (2025)

HIQL: Offline Goal-Conditioned RL with Latent States as Actions
by: Park, Seohong, et al.
Published: (2023)

InfoCon: Concept Discovery with Generative and Discriminative Informativeness
by: Liu, Ruizhe, et al.
Published: (2024)

Grounding Video Models to Actions through Goal Conditioned Exploration
by: Luo, Yunhao, et al.
Published: (2024)

SutureFormer: Learning Surgical Trajectories via Goal-conditioned Offline RL in Pixel Space
by: Liu, Huanrong, et al.
Published: (2026)

Multi-Object Graph Affordance Network: Goal-Oriented Planning through Learned Compound Object Affordances
by: Girgin, Tuba, et al.
Published: (2023)

RAGNav: A Retrieval-Augmented Topological Reasoning Framework for Multi-Goal Visual-Language Navigation
by: Luo, Ling, et al.
Published: (2026)

STEVE-Audio: Expanding the Goal Conditioning Modalities of Embodied Agents in Minecraft
by: Lenzen, Nicholas, et al.
Published: (2024)

Learning World Models for Unconstrained Goal Navigation
by: Duan, Yuanlin, et al.
Published: (2024)

Unsupervised Learning of Efficient Exploration: Pre-training Adaptive Policies via Self-Imposed Goals
by: Pappalardo, Octavio
Published: (2026)

Online Dynamic Goal Recognition in Gym Environments
by: Matan, Shamir, et al.
Published: (2025)

Semantic Environment Atlas for Object-Goal Navigation
by: Kim, Nuri, et al.
Published: (2024)

OminiAdapt: Learning Cross-Task Invariance for Robust and Environment-Aware Robotic Manipulation
by: Wang, Yongxu, et al.
Published: (2025)

Hierarchical Reinforcement Learning in Multi-Goal Spatial Navigation with Autonomous Mobile Robots
by: Johnson, Brendon, et al.
Published: (2025)

Slot-MPC: Goal-Conditioned Model Predictive Control with Object-Centric Representations
by: Spieler, Jonathan, et al.
Published: (2026)

HumanDiffusion: A Vision-Based Diffusion Trajectory Planner with Human-Conditioned Goals for Search and Rescue UAV
by: Batool, Faryal, et al.
Published: (2026)