CubeDAgger: Interactive Imitation Learning for Dynamic Systems with Efficient yet Low-risk Interaction
Fuente:
arXiv
Guardado en:
| Autor principal: | Kobayashi, Taisuke |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
MEGA-DAgger: Imitation Learning with Multiple Imperfect Experts
por: Sun, Xiatao, et al.
Publicado: (2023)
por: Sun, Xiatao, et al.
Publicado: (2023)
Consolidated Adaptive T-soft Update for Deep Reinforcement Learning
por: Kobayashi, Taisuke
Publicado: (2022)
por: Kobayashi, Taisuke
Publicado: (2022)
Intentionally-underestimated Value Function at Terminal State for Temporal-difference Learning with Mis-designed Reward
por: Kobayashi, Taisuke
Publicado: (2023)
por: Kobayashi, Taisuke
Publicado: (2023)
Diffusion Meets DAgger: Supercharging Eye-in-hand Imitation Learning
por: Zhang, Xiaoyu, et al.
Publicado: (2024)
por: Zhang, Xiaoyu, et al.
Publicado: (2024)
ASkDAgger: Active Skill-level Data Aggregation for Interactive Imitation Learning
por: Luijkx, Jelle, et al.
Publicado: (2025)
por: Luijkx, Jelle, et al.
Publicado: (2025)
Variational Adaptive Noise and Dropout towards Stable Recurrent Neural Networks
por: Kobayashi, Taisuke, et al.
Publicado: (2025)
por: Kobayashi, Taisuke, et al.
Publicado: (2025)
Towards Autonomous Driving of Personal Mobility with Small and Noisy Dataset using Tsallis-statistics-based Behavioral Cloning
por: Kobayashi, Taisuke, et al.
Publicado: (2021)
por: Kobayashi, Taisuke, et al.
Publicado: (2021)
Design of Restricted Normalizing Flow towards Arbitrary Stochastic Policy with Computational Efficiency
por: Kobayashi, Taisuke, et al.
Publicado: (2024)
por: Kobayashi, Taisuke, et al.
Publicado: (2024)
Structured Imitation Learning of Interactive Policies through Inverse Games
por: Sun, Max M., et al.
Publicado: (2025)
por: Sun, Max M., et al.
Publicado: (2025)
FABG : End-to-end Imitation Learning for Embodied Affective Human-Robot Interaction
por: Zhang, Yanghai, et al.
Publicado: (2025)
por: Zhang, Yanghai, et al.
Publicado: (2025)
Interactive Imitation Learning for Dexterous Robotic Manipulation: Challenges and Perspectives -- A Survey
por: Welte, Edgar, et al.
Publicado: (2025)
por: Welte, Edgar, et al.
Publicado: (2025)
Model-Based Runtime Monitoring with Interactive Imitation Learning
por: Liu, Huihan, et al.
Publicado: (2023)
por: Liu, Huihan, et al.
Publicado: (2023)
Robot-Gated Interactive Imitation Learning with Adaptive Intervention Mechanism
por: Cai, Haoyuan, et al.
Publicado: (2025)
por: Cai, Haoyuan, et al.
Publicado: (2025)
Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Corrections
por: Xu, Xiaomeng, et al.
Publicado: (2025)
por: Xu, Xiaomeng, et al.
Publicado: (2025)
Bi-VLA: Bilateral Control-Based Imitation Learning via Vision-Language Fusion for Action Generation
por: Kobayashi, Masato, et al.
Publicado: (2025)
por: Kobayashi, Masato, et al.
Publicado: (2025)
Multi-Agent Generative Adversarial Interactive Self-Imitation Learning for AUV Formation Control and Obstacle Avoidance
por: Fang, Zheng, et al.
Publicado: (2024)
por: Fang, Zheng, et al.
Publicado: (2024)
Weber-Fechner Law in Temporal Difference learning derived from Control as Inference
por: Takahashi, Keiichiro, et al.
Publicado: (2024)
por: Takahashi, Keiichiro, et al.
Publicado: (2024)
Contractive Dynamical Imitation Policies for Efficient Out-of-Sample Recovery
por: Abyaneh, Amin, et al.
Publicado: (2024)
por: Abyaneh, Amin, et al.
Publicado: (2024)
WM-DAgger: Enabling Efficient Data Aggregation for Imitation Learning with World Models
por: Yu, Anlan, et al.
Publicado: (2026)
por: Yu, Anlan, et al.
Publicado: (2026)
JUICER: Data-Efficient Imitation Learning for Robotic Assembly
por: Ankile, Lars, et al.
Publicado: (2024)
por: Ankile, Lars, et al.
Publicado: (2024)
Liquid Networks with Mixture Density Heads for Efficient Imitation Learning
por: Correll, Nikolaus
Publicado: (2026)
por: Correll, Nikolaus
Publicado: (2026)
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback
por: Zhao, Michelle, et al.
Publicado: (2024)
por: Zhao, Michelle, et al.
Publicado: (2024)
BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning
por: Zhou, Hongyi, et al.
Publicado: (2025)
por: Zhou, Hongyi, et al.
Publicado: (2025)
ConceptACT: Episode-Level Concepts for Sample-Efficient Robotic Imitation Learning
por: Karalus, Jakob, et al.
Publicado: (2026)
por: Karalus, Jakob, et al.
Publicado: (2026)
Offline Imitation Learning upon Arbitrary Demonstrations by Pre-Training Dynamics Representations
por: Ma, Haitong, et al.
Publicado: (2025)
por: Ma, Haitong, et al.
Publicado: (2025)
Action-Constrained Imitation Learning
por: Yeh, Chia-Han, et al.
Publicado: (2025)
por: Yeh, Chia-Han, et al.
Publicado: (2025)
IRIS: An Immersive Robot Interaction System
por: Jiang, Xinkai, et al.
Publicado: (2025)
por: Jiang, Xinkai, et al.
Publicado: (2025)
Advancing Household Robotics: Deep Interactive Reinforcement Learning for Efficient Training and Enhanced Performance
por: Soni, Arpita, et al.
Publicado: (2024)
por: Soni, Arpita, et al.
Publicado: (2024)
When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning?
por: Mu, Tongzhou, et al.
Publicado: (2024)
por: Mu, Tongzhou, et al.
Publicado: (2024)
An Introduction to Deep Reinforcement and Imitation Learning
por: Santana, Pedro
Publicado: (2025)
por: Santana, Pedro
Publicado: (2025)
Continual Learning through Human-Robot Interaction: Human Perceptions of a Continual Learning Robot in Repeated Interactions
por: Ayub, Ali, et al.
Publicado: (2023)
por: Ayub, Ali, et al.
Publicado: (2023)
Phase-Amplitude Reduction-Based Imitation Learning
por: Yamamori, Satoshi, et al.
Publicado: (2024)
por: Yamamori, Satoshi, et al.
Publicado: (2024)
Semi-Supervised Cross-Domain Imitation Learning
por: Chu, Li-Min, et al.
Publicado: (2026)
por: Chu, Li-Min, et al.
Publicado: (2026)
MaIL: Improving Imitation Learning with Mamba
por: Jia, Xiaogang, et al.
Publicado: (2024)
por: Jia, Xiaogang, et al.
Publicado: (2024)
Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning
por: Corrado, Nicholas E., et al.
Publicado: (2023)
por: Corrado, Nicholas E., et al.
Publicado: (2023)
Hierarchical Procedural Framework for Low-latency Robot-Assisted Hand-Object Interaction
por: Yuan, Mingqi, et al.
Publicado: (2024)
por: Yuan, Mingqi, et al.
Publicado: (2024)
Diffusion-Based Imitation Learning for Social Pose Generation
por: Martin-Ozimek, Antonio Lech, et al.
Publicado: (2025)
por: Martin-Ozimek, Antonio Lech, et al.
Publicado: (2025)
Dexterous Manipulation through Imitation Learning: A Survey
por: An, Shan, et al.
Publicado: (2025)
por: An, Shan, et al.
Publicado: (2025)
T2S: Tokenized Skill Scaling for Lifelong Imitation Learning
por: Zhang, Hongquan, et al.
Publicado: (2025)
por: Zhang, Hongquan, et al.
Publicado: (2025)
A Comparison of Imitation Learning Algorithms for Bimanual Manipulation
por: Drolet, Michael, et al.
Publicado: (2024)
por: Drolet, Michael, et al.
Publicado: (2024)
Ejemplares similares
-
MEGA-DAgger: Imitation Learning with Multiple Imperfect Experts
por: Sun, Xiatao, et al.
Publicado: (2023) -
Consolidated Adaptive T-soft Update for Deep Reinforcement Learning
por: Kobayashi, Taisuke
Publicado: (2022) -
Intentionally-underestimated Value Function at Terminal State for Temporal-difference Learning with Mis-designed Reward
por: Kobayashi, Taisuke
Publicado: (2023) -
Diffusion Meets DAgger: Supercharging Eye-in-hand Imitation Learning
por: Zhang, Xiaoyu, et al.
Publicado: (2024) -
ASkDAgger: Active Skill-level Data Aggregation for Interactive Imitation Learning
por: Luijkx, Jelle, et al.
Publicado: (2025)