Imagen de Portada

An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Srisuchinnawong, Arthicha, Manoonpong, Poramate
Formato:	Preprint
Publicado:	2025
Materias:	Robotics Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Growable and Interpretable Neural Control with Online Continual Learning for Autonomous Lifelong Locomotion Learning Machines
por: Srisuchinnawong, Arthicha, et al.
Publicado: (2025)

Gain Tuning Is Not What You Need: Reward Gain Adaptation for Constrained Locomotion Learning
por: Srisuchinnawong, Arthicha, et al.
Publicado: (2025)

Nature's All-in-One: Multitasking Robots Inspired by Dung Beetles
por: Leung, Binggwong, et al.
Publicado: (2024)

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains
por: Kim, Mincheol, et al.
Publicado: (2024)

Gait in Eight: Efficient On-Robot Learning for Omnidirectional Quadruped Locomotion
por: Bohlinger, Nico, et al.
Publicado: (2025)

Learn to Teach: Sample-Efficient Privileged Learning for Humanoid Locomotion over Diverse Terrains
por: Wu, Feiyang, et al.
Publicado: (2024)

Bio-Inspired Plastic Neural Networks for Zero-Shot Out-of-Distribution Generalization in Complex Animal-Inspired Robots
por: Leung, Binggwong, et al.
Publicado: (2025)

PALo: Learning Posture-Aware Locomotion for Quadruped Robots
por: Miao, Xiangyu, et al.
Publicado: (2025)

Pretraining in Actor-Critic Reinforcement Learning for Robot Locomotion
por: Fan, Jiale, et al.
Publicado: (2025)

Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression
por: Acero, Fernando, et al.
Publicado: (2024)

Exciting Action: Investigating Efficient Exploration for Learning Musculoskeletal Humanoid Locomotion
por: Geiß, Henri-Jacques, et al.
Publicado: (2024)

Integrating Learning-Based Manipulation and Physics-Based Locomotion for Whole-Body Badminton Robot Control
por: Wang, Haochen, et al.
Publicado: (2025)

Hysteresis-Aware Neural Network Modeling and Whole-Body Reinforcement Learning Control of Soft Robots
por: Chen, Zongyuan, et al.
Publicado: (2025)

Learning Robust Autonomous Navigation and Locomotion for Wheeled-Legged Robots
por: Lee, Joonho, et al.
Publicado: (2024)

Rethinking Robustness Assessment: Adversarial Attacks on Learning-based Quadrupedal Locomotion Controllers
por: Shi, Fan, et al.
Publicado: (2024)

ConceptACT: Episode-Level Concepts for Sample-Efficient Robotic Imitation Learning
por: Karalus, Jakob, et al.
Publicado: (2026)

Symmetry-Guided Memory Augmentation for Efficient Locomotion Learning
por: Bao, Kaixi, et al.
Publicado: (2025)

Investigating Lagrangian Neural Networks for Infinite Horizon Planning in Quadrupedal Locomotion
por: Kotecha, Prakrut, et al.
Publicado: (2025)

STRIDE: Automating Reward Design, Deep Reinforcement Learning Training and Feedback Optimization in Humanoid Robotics Locomotion
por: Wu, Zhenwei, et al.
Publicado: (2025)

Learning Humanoid Locomotion with World Model Reconstruction
por: Sun, Wandong, et al.
Publicado: (2025)

Interpretable Robotic Friction Learning via Symbolic Regression
por: Scholl, Philipp, et al.
Publicado: (2025)

Learning Humanoid Locomotion over Challenging Terrain
por: Radosavovic, Ilija, et al.
Publicado: (2024)

Learning Risk-Aware Quadrupedal Locomotion using Distributional Reinforcement Learning
por: Schneider, Lukas, et al.
Publicado: (2023)

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

SpikingSoft: A Spiking Neuron Controller for Bio-inspired Locomotion with Soft Snake Robots
por: Zhang, Chuhan, et al.
Publicado: (2025)

Natural Humanoid Robot Locomotion with Generative Motion Prior
por: Zhang, Haodong, et al.
Publicado: (2025)

Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning
por: Xie, Fengze, et al.
Publicado: (2024)

CaT: Constraints as Terminations for Legged Locomotion Reinforcement Learning
por: Chane-Sane, Elliot, et al.
Publicado: (2024)

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning
por: Lai, Matthew, et al.
Publicado: (2025)

Visualizing Critic Match Loss Landscapes for Interpretation of Online Reinforcement Learning Control Algorithms
por: Liu, Jingyi, et al.
Publicado: (2026)

RobotKeyframing: Learning Locomotion with High-Level Objectives via Mixture of Dense and Sparse Rewards
por: Zargarbashi, Fatemeh, et al.
Publicado: (2024)

Learning Aerodynamics for the Control of Flying Humanoid Robots
por: Paolino, Antonello, et al.
Publicado: (2025)

Robotic Paper Wrapping by Learning Force Control
por: Hanai, Hiroki, et al.
Publicado: (2025)

QuietPaw: Learning Quadrupedal Locomotion with Versatile Noise Preference Alignment
por: Zhang, Yuyou, et al.
Publicado: (2025)

Dexterous Legged Locomotion in Confined 3D Spaces with Reinforcement Learning
por: Xu, Zifan, et al.
Publicado: (2024)

A Real-World Quadrupedal Locomotion Benchmark for Offline Reinforcement Learning
por: Zhang, Hongyin, et al.
Publicado: (2023)

Robot Control Stack: A Lean Ecosystem for Robot Learning at Scale
por: Jülg, Tobias, et al.
Publicado: (2025)

Learning Contact Dynamics through Touching: Action-conditional Graph Neural Networks for Robotic Peg Insertion
por: Yi, Zongyao, et al.
Publicado: (2025)

JUICER: Data-Efficient Imitation Learning for Robotic Assembly
por: Ankile, Lars, et al.
Publicado: (2024)

Novelty-based Sample Reuse for Continuous Robotics Control
por: Duan, Ke, et al.
Publicado: (2024)