:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Peng, Baiyu, Billard, Aude
Formato:	Preprint
Publicado:	2024
Materias:	Robotics Artificial Intelligence Machine Learning
Acceso en línea:	https://arxiv.org/abs/2408.01622
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Learning Constraint Network from Demonstrations via Positive-Unlabeled Learning with Memory Replay
por: Peng, Baiyu, et al.
Publicado: (2024)

CLAM: Continuous Latent Action Models for Robot Learning from Unlabeled Demonstrations
por: Liang, Anthony, et al.
Publicado: (2025)

Active Constraint Learning in High Dimensions from Demonstrations
por: Qiu, Zheng, et al.
Publicado: (2025)

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories
por: Mobarakeh, Niloufar Saeidi, et al.
Publicado: (2024)

Constraints as Rewards: Reinforcement Learning for Robots without Reward Functions
por: Ishihara, Yu, et al.
Publicado: (2025)

Training and Simulation of Quadrupedal Robot in Adaptive Stair Climbing for Indoor Firefighting: An End-to-End Reinforcement Learning Approach
por: Huang, Baixiao, et al.
Publicado: (2026)

MoMaGen: Generating Demonstrations under Soft and Hard Constraints for Multi-Step Bimanual Mobile Manipulation
por: Li, Chengshu, et al.
Publicado: (2025)

Learning Neural Control Barrier Functions from Expert Demonstrations using Inverse Constraint Learning
por: Yang, Yuxuan, et al.
Publicado: (2025)

Learning Dynamical Systems Encoding Non-Linearity within Space Curvature
por: Fichera, Bernardo, et al.
Publicado: (2024)

Learning Transferability: A Two-Stage Reinforcement Learning Approach for Enhancing Quadruped Robots' Performance in U-Shaped Stair Climbing
por: Huang, Baixiao, et al.
Publicado: (2026)

A roadmap for AI in robotics
por: Billard, Aude, et al.
Publicado: (2025)

Your Learned Constraint is Secretly a Backward Reachable Tube
por: Qadri, Mohamad, et al.
Publicado: (2025)

Safe Offline Reinforcement Learning with Real-Time Budget Constraints
por: Lin, Qian, et al.
Publicado: (2023)

Diffusion Models for Offline Multi-agent Reinforcement Learning with Safety Constraints
por: Huang, Jianuo
Publicado: (2024)

Learning to Throw-Flip
por: Liu, Yang, et al.
Publicado: (2025)

Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving
por: Hu, Xuemin, et al.
Publicado: (2024)

A Simple Approach to Constraint-Aware Imitation Learning with Application to Autonomous Racing
por: Cao, Shengfan, et al.
Publicado: (2025)

Beyond Hard Constraints: Budget-Conditioned Reachability For Safe Offline Reinforcement Learning
por: Brahmanage, Janaka Chathuranga, et al.
Publicado: (2026)

Learning Parameterized Skills from Demonstrations
por: Gupta, Vedant, et al.
Publicado: (2025)

Offline Diversity Maximization Under Imitation Constraints
por: Vlastelica, Marin, et al.
Publicado: (2023)

Learning from Demonstration with Implicit Nonlinear Dynamics Models
por: Fagan, Peter David, et al.
Publicado: (2024)

Learning Novel Skills from Language-Generated Demonstrations
por: Jin, Ao-Qun, et al.
Publicado: (2024)

Learning Adaptive Dexterous Grasping from Single Demonstrations
por: Shi, Liangzhi, et al.
Publicado: (2025)

Not Only Rewards But Also Constraints: Applications on Legged Robot Locomotion
por: Kim, Yunho, et al.
Publicado: (2023)

Deep Reinforcement Learning-Based Approach for a Single Vehicle Persistent Surveillance Problem with Fuel Constraints
por: Mishra, Manav, et al.
Publicado: (2024)

Reward Learning from Suboptimal Demonstrations with Applications in Surgical Electrocautery
por: Karimi, Zohre, et al.
Publicado: (2024)

Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints
por: Kolev, Pavel, et al.
Publicado: (2025)

Integrating LTL Constraints into PPO for Safe Reinforcement Learning
por: Zhang, Maifang, et al.
Publicado: (2026)

Reverse Forward Curriculum Learning for Extreme Sample and Demonstration Efficiency in Reinforcement Learning
por: Tao, Stone, et al.
Publicado: (2024)

SuReNav: Superpixel Graph-based Constraint Relaxation for Navigation in Over-constrained Environments
por: Koh, Keonyoung, et al.
Publicado: (2026)

Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations
por: Chan, Bryan, et al.
Publicado: (2024)

Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few Demonstrations
por: Zhu, Yujie, et al.
Publicado: (2025)

Robot Policy Transfer with Online Demonstrations: An Active Reinforcement Learning Approach
por: Hou, Muhan, et al.
Publicado: (2025)

Beyond Non-Expert Demonstrations: Outcome-Driven Action Constraint for Offline Reinforcement Learning
por: Jiang, Ke, et al.
Publicado: (2025)

DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems
por: Yoo, Se-Wook, et al.
Publicado: (2025)

VER: Vision Expert Transformer for Robot Learning via Foundation Distillation and Dynamic Routing
por: Wang, Yixiao, et al.
Publicado: (2025)

When a Robot is More Capable than a Human: Learning from Constrained Demonstrators
por: Li, Xinhu, et al.
Publicado: (2025)

IDIL: Imitation Learning of Intent-Driven Expert Behavior
por: Seo, Sangwon, et al.
Publicado: (2024)

Curating Demonstrations using Online Experience
por: Chen, Annie S., et al.
Publicado: (2025)

Multi-Agent Inverse Q-Learning from Demonstrations
por: Haynam, Nathaniel, et al.
Publicado: (2025)