Imagen de Portada

SLAC: Simulation-Pretrained Latent Action Space for Whole-Body Real-World RL

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Hu, Jiaheng, Stone, Peter, Martín-Martín, Roberto
Formato:	Preprint
Publicado:	2025
Materias:	Robotics Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation
por: Levy, Jacob, et al.
Publicado: (2026)

GBC: Generalized Behavior-Cloning Framework for Whole-Body Humanoid Imitation
por: Yao, Yifei, et al.
Publicado: (2025)

ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills
por: He, Tairan, et al.
Publicado: (2025)

TeleMoMa: A Modular and Versatile Teleoperation System for Mobile Manipulation
por: Dass, Shivin, et al.
Publicado: (2024)

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

Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes
por: Tang, Chen, et al.
Publicado: (2024)

Latent Policy Steering with Embodiment-Agnostic Pretrained World Models
por: Wang, Yiqi, et al.
Publicado: (2025)

HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation
por: Sferrazza, Carmelo, et al.
Publicado: (2024)

Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets
por: Zhu, Chuning, et al.
Publicado: (2025)

RL-100: Performant Robotic Manipulation with Real-World Reinforcement Learning
por: Lei, Kun, et al.
Publicado: (2025)

Failure-Aware RL: Reliable Offline-to-Online Reinforcement Learning with Self-Recovery for Real-World Manipulation
por: Li, Huanyu, et al.
Publicado: (2026)

ExBody2: Advanced Expressive Humanoid Whole-Body Control
por: Ji, Mazeyu, et al.
Publicado: (2024)

Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation
por: He, Tairan, et al.
Publicado: (2024)

SPAARS: Safer RL Policy Alignment through Abstract Exploration and Refined Exploitation of Action Space
por: K, Swaminathan S, et al.
Publicado: (2026)

Humanoid Manipulation Interface: Humanoid Whole-Body Manipulation from Robot-Free Demonstrations
por: Nai, Ruiqian, et al.
Publicado: (2026)

Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning
por: Hu, Jiaheng, et al.
Publicado: (2024)

Posterior Behavioral Cloning: Pretraining BC Policies for Efficient RL Finetuning
por: Wagenmaker, Andrew, et al.
Publicado: (2025)

Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowds
por: Chandra, Rohan, et al.
Publicado: (2024)

Behavior Generation with Latent Actions
por: Lee, Seungjae, et al.
Publicado: (2024)

BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities
por: Jiang, Yunfan, et al.
Publicado: (2025)

RoboSSM: Scalable In-context Imitation Learning via State-Space Models
por: Yoo, Youngju, et al.
Publicado: (2025)

Learning to Play Piano in the Real World
por: Zeulner, Yves-Simon, et al.
Publicado: (2025)

Simple Recipe Works: Vision-Language-Action Models are Natural Continual Learners with Reinforcement Learning
por: Hu, Jiaheng, et al.
Publicado: (2026)

AMO: Adaptive Motion Optimization for Hyper-Dexterous Humanoid Whole-Body Control
por: Li, Jialong, et al.
Publicado: (2025)

Embodiment-Aware Generalist Specialist Distillation for Unified Humanoid Whole-Body Control
por: Peng, Quanquan, et al.
Publicado: (2026)

Mobile-TeleVision: Predictive Motion Priors for Humanoid Whole-Body Control
por: Lu, Chenhao, et al.
Publicado: (2024)

villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models
por: Chen, Xiaoyu, et al.
Publicado: (2025)

DEAS: DEtached value learning with Action Sequence for Scalable Offline RL
por: Kim, Changyeon, et al.
Publicado: (2025)

CMP: Robust Whole-Body Tracking for Loco-Manipulation via Competence Manifold Projection
por: Cheng, Ziyang, et al.
Publicado: (2026)

Pretrained Vision-Language-Action Models are Surprisingly Resistant to Forgetting in Continual Learning
por: Liu, Huihan, et al.
Publicado: (2026)

Learning to Look: Seeking Information for Decision Making via Policy Factorization
por: Dass, Shivin, et al.
Publicado: (2024)

Learning to Act Robustly with View-Invariant Latent Actions
por: Jeong, Youngjoon, et al.
Publicado: (2026)

Learning Human-Like RL Agents Through Trajectory Optimization With Action Quantization
por: Guo, Jian-Ting, et al.
Publicado: (2025)

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

AdaWorld: Learning Adaptable World Models with Latent Actions
por: Gao, Shenyuan, et al.
Publicado: (2025)

LaDi-WM: A Latent Diffusion-based World Model for Predictive Manipulation
por: Huang, Yuhang, et al.
Publicado: (2025)

DreamControl: Human-Inspired Whole-Body Humanoid Control for Scene Interaction via Guided Diffusion
por: Kalaria, Dvij, et al.
Publicado: (2025)

QuadWBG: Generalizable Quadrupedal Whole-Body Grasping
por: Wang, Jilong, et al.
Publicado: (2024)

Real-World Reinforcement Learning of Active Perception Behaviors
por: Hu, Edward S., et al.
Publicado: (2025)

UniVLA: Learning to Act Anywhere with Task-centric Latent Actions
por: Bu, Qingwen, et al.
Publicado: (2025)