Imagen de Portada

Cluster-based Sampling in Hindsight Experience Replay for Robotic Tasks (Student Abstract)

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kim, Taeyoung, Har, Dongsoo
Formato:	Preprint
Publicado:	2022
Materias:	Robotics Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

MRHER: Model-based Relay Hindsight Experience Replay for Sequential Object Manipulation Tasks with Sparse Rewards
por: Huang, Yuming, et al.
Publicado: (2023)

Enabling Option Learning in Sparse Rewards with Hindsight Experience Replay
por: Romio, Gabriel, et al.
Publicado: (2026)

Human-Aware Robot Navigation via Reinforcement Learning with Hindsight Experience Replay and Curriculum Learning
por: Li, Keyu, et al.
Publicado: (2021)

Steering Sparse Autoencoder Latents to Control Dynamic Head Pruning in Vision Transformers (Student Abstract)
por: Lee, Yousung, et al.
Publicado: (2026)

Contact Energy Based Hindsight Experience Prioritization
por: Sayar, Erdi, et al.
Publicado: (2023)

Experience-based Refinement of Task Planning Knowledge in Autonomous Robots
por: Jazzaa, Hadeel, et al.
Publicado: (2025)

ROER: Regularized Optimal Experience Replay
por: Li, Changling, et al.
Publicado: (2024)

Multi-Robot Task Allocation for Homogeneous Tasks with Collision Avoidance via Spatial Clustering
por: Shit, Rathin Chandra, et al.
Publicado: (2025)

D-SPEAR: Dual-Stream Prioritized Experience Adaptive Replay for Stable Reinforcement Learning in Robotic Manipulation
por: Zhang, Yu, et al.
Publicado: (2026)

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following
por: Yang, Yuxiao, et al.
Publicado: (2024)

WOMBET: World Model-based Experience Transfer for Robust and Sample-efficient Reinforcement Learning
por: Kim, Mintae, et al.
Publicado: (2026)

AgentHER: Hindsight Experience Replay for LLM Agent Trajectory Relabeling
por: Ding, Liang
Publicado: (2026)

Multi-Robot Collaboration through Reinforcement Learning and Abstract Simulation
por: Labiosa, Adam, et al.
Publicado: (2025)

Hybrid LLM-based Intelligent Framework for Robot Task Scheduling
por: Saha, Swayamjit, et al.
Publicado: (2026)

A Pragmatist Robot: Learning to Plan Tasks by Experiencing the Real World
por: Qu, Kaixian, et al.
Publicado: (2025)

Vision-Language-Policy Model for Dynamic Robot Task Planning
por: Wang, Jin, et al.
Publicado: (2025)

Sample Efficient Robot Learning in Supervised Effect Prediction Tasks
por: Eren, Mehmet Arda, et al.
Publicado: (2024)

Adaptable Hindsight Experience Replay for Search-Based Learning
por: Vazaios, Alexandros, et al.
Publicado: (2025)

CONTHER: Human-Like Contextual Robot Learning via Hindsight Experience Replay and Transformers without Expert Demonstrations
por: Makarova, Maria, et al.
Publicado: (2025)

E2Map: Experience-and-Emotion Map for Self-Reflective Robot Navigation with Language Models
por: Kim, Chan, et al.
Publicado: (2024)

Task-agnostic Lifelong Robot Learning with Retrieval-based Weighted Local Adaptation
por: Yang, Pengzhi, et al.
Publicado: (2024)

Sample-Efficient Robot Skill Learning for Construction Tasks: Benchmarking Hierarchical Reinforcement Learning and Vision-Language-Action VLA Model
por: Hu, Zhaofeng, et al.
Publicado: (2025)

Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours
por: Churamani, Nikhil, et al.
Publicado: (2024)

Continuous Adversarial Text Representation Learning for Affective Recognition
por: Son, Seungah, et al.
Publicado: (2025)

Task2Morph: Differentiable Task-inspired Framework for Contact-Aware Robot Design
por: Cai, Yishuai, et al.
Publicado: (2024)

Decomposition-based Hierarchical Task Allocation and Planning for Multi-Robots under Hierarchical Temporal Logic Specifications
por: Luo, Xusheng, et al.
Publicado: (2023)

Robot Task Planning and Situation Handling in Open Worlds
por: Ding, Yan, et al.
Publicado: (2022)

Symmetry Considerations for Learning Task Symmetric Robot Policies
por: Mittal, Mayank, et al.
Publicado: (2024)

Encoding Reusable Multi-Robot Planning Strategies as Abstract Hypergraphs
por: Elimelech, Khen, et al.
Publicado: (2024)

Human-in-the-loop Online Rejection Sampling for Robotic Manipulation
por: Lu, Guanxing, et al.
Publicado: (2025)

Sample-efficient Reinforcement Learning in Robotic Table Tennis
por: Tebbe, Jonas, et al.
Publicado: (2020)

Scaling Tasks, Not Samples: Mastering Humanoid Control through Multi-Task Model-Based Reinforcement Learning
por: Liu, Shaohuai, et al.
Publicado: (2026)

Experiences from Benchmarking Vision-Language-Action Models for Robotic Manipulation
por: Zhang, Yihao, et al.
Publicado: (2025)

Application of LLMs to Multi-Robot Path Planning and Task Allocation
por: Kumar, Ashish
Publicado: (2025)

Performance Comparison of Classical and Neural Sampling Algorithms for Robotic Navigation
por: Cheriet, Hichem, et al.
Publicado: (2026)

Episodic Memory Verbalization using Hierarchical Representations of Life-Long Robot Experience
por: Bärmann, Leonard, et al.
Publicado: (2024)

Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics
por: Kim, Dongyoung, et al.
Publicado: (2025)

Multi-Task Interactive Robot Fleet Learning with Visual World Models
por: Liu, Huihan, et al.
Publicado: (2024)

Safety Aware Task Planning via Large Language Models in Robotics
por: Khan, Azal Ahmad, et al.
Publicado: (2025)

GRS: Generating Robotic Simulation Tasks from Real-World Images
por: Zook, Alex, et al.
Publicado: (2024)