:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteur principal:	Santana, Pedro
Format:	Preprint
Publié:	2025
Sujets:	Robotics Machine Learning
Accès en ligne:	https://arxiv.org/abs/2512.08052
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning
par: Wan, Weikang, et autres
Publié: (2024)

RILe: Reinforced Imitation Learning
par: Albaba, Mert, et autres
Publié: (2024)

Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning
par: Corrado, Nicholas E., et autres
Publié: (2023)

An Imitative Reinforcement Learning Framework for Pursuit-Lock-Launch Missions
par: Li, Siyuan, et autres
Publié: (2024)

SGN-CIRL: Scene Graph-based Navigation with Curriculum, Imitation, and Reinforcement Learning
par: Oskolkov, Nikita, et autres
Publié: (2025)

MimicKit: A Reinforcement Learning Framework for Motion Imitation and Control
par: Peng, Xue Bin
Publié: (2025)

Imitation Learning with Limited Actions via Diffusion Planners and Deep Koopman Controllers
par: Bi, Jianxin, et autres
Publié: (2024)

TDMPBC: Self-Imitative Reinforcement Learning for Humanoid Robot Control
par: Zhuang, Zifeng, et autres
Publié: (2025)

Physics-informed Imitative Reinforcement Learning for Real-world Driving
par: Zhou, Hang, et autres
Publié: (2024)

Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
par: Sikchi, Harshit, et autres
Publié: (2023)

Action-Constrained Imitation Learning
par: Yeh, Chia-Han, et autres
Publié: (2025)

Behavior Imitation for Manipulator Control and Grasping with Deep Reinforcement Learning
par: Qiyuan, Liu
Publié: (2024)

Using Non-Expert Data to Robustify Imitation Learning via Offline Reinforcement Learning
par: Huang, Kevin, et autres
Publié: (2025)

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation
par: Guo, Yihong, et autres
Publié: (2024)

Phase-Amplitude Reduction-Based Imitation Learning
par: Yamamori, Satoshi, et autres
Publié: (2024)

Semi-Supervised Cross-Domain Imitation Learning
par: Chu, Li-Min, et autres
Publié: (2026)

MaIL: Improving Imitation Learning with Mamba
par: Jia, Xiaogang, et autres
Publié: (2024)

Bootstrapping Reinforcement Learning with Imitation for Vision-Based Agile Flight
par: Xing, Jiaxu, et autres
Publié: (2024)

Diffusion-Based Imitation Learning for Social Pose Generation
par: Martin-Ozimek, Antonio Lech, et autres
Publié: (2025)

Dexterous Manipulation through Imitation Learning: A Survey
par: An, Shan, et autres
Publié: (2025)

T2S: Tokenized Skill Scaling for Lifelong Imitation Learning
par: Zhang, Hongquan, et autres
Publié: (2025)

A Comparison of Imitation Learning Algorithms for Bimanual Manipulation
par: Drolet, Michael, et autres
Publié: (2024)

SPREAD: Subspace Representation Distillation for Lifelong Imitation Learning
par: Roy, Kaushik, et autres
Publié: (2026)

MEGA-DAgger: Imitation Learning with Multiple Imperfect Experts
par: Sun, Xiatao, et autres
Publié: (2023)

JUICER: Data-Efficient Imitation Learning for Robotic Assembly
par: Ankile, Lars, et autres
Publié: (2024)

Generalization Capability for Imitation Learning
par: Wang, Yixiao
Publié: (2025)

Follow-Me in Micro-Mobility with End-to-End Imitation Learning
par: Salimpour, Sahar, et autres
Publié: (2025)

DataMIL: Selecting Data for Robot Imitation Learning with Datamodels
par: Dass, Shivin, et autres
Publié: (2025)

Imitation Learning for Adaptive Control of a Virtual Soft Exoglove
par: Lyu, Shirui, et autres
Publié: (2025)

X-IL: Exploring the Design Space of Imitation Learning Policies
par: Jia, Xiaogang, et autres
Publié: (2025)

Structured Imitation Learning of Interactive Policies through Inverse Games
par: Sun, Max M., et autres
Publié: (2025)

Liquid Networks with Mixture Density Heads for Efficient Imitation Learning
par: Correll, Nikolaus
Publié: (2026)

Training-Free Imitation Learning with Closed-Form Diffusion Policies
par: Mishra, Raghav, et autres
Publié: (2026)

Consolidated Adaptive T-soft Update for Deep Reinforcement Learning
par: Kobayashi, Taisuke
Publié: (2022)

RIZE: Adaptive Regularization for Imitation Learning
par: Karimi, Adib, et autres
Publié: (2025)

Learning to Drive by Imitating Surrounding Vehicles
par: Sonmez, Yasin, et autres
Publié: (2025)

Diffusion-Reward Adversarial Imitation Learning
par: Lai, Chun-Mao, et autres
Publié: (2024)

How to Train Your Robots? The Impact of Demonstration Modality on Imitation Learning
par: Li, Haozhuo, et autres
Publié: (2025)

Flow-Enabled Generalization to Human Demonstrations in Few-Shot Imitation Learning
par: Tang, Runze, et autres
Publié: (2026)

PRISM: Performer RS-IMLE for Single-pass Multisensory Imitation Learning
par: Bhaskar, Amisha, et autres
Publié: (2026)