Imitation Learning by State-Only Distribution Matching
Fuente:
arXiv
Guardado en:
| Autores principales: | Boborzi, Damian, Straehle, Christoph-Nikolas, Buchner, Jens S., Mikelsons, Lars |
|---|---|
| Formato: | Preprint |
| Publicado: |
2022
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
MeshFleet: Filtered and Annotated 3D Vehicle Dataset for Domain Specific Generative Modeling
por: Boborzi, Damian, et al.
Publicado: (2025)
por: Boborzi, Damian, et al.
Publicado: (2025)
Learnable & Interpretable Model Combination in Dynamical Systems Modeling
por: Thummerer, Tobias, et al.
Publicado: (2024)
por: Thummerer, Tobias, et al.
Publicado: (2024)
Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction
por: Timans, Alexander, et al.
Publicado: (2024)
por: Timans, Alexander, et al.
Publicado: (2024)
Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception
por: Mueller, Phillip, et al.
Publicado: (2024)
por: Mueller, Phillip, et al.
Publicado: (2024)
Imitation Learning as Return Distribution Matching
por: Lazzati, Filippo, et al.
Publicado: (2025)
por: Lazzati, Filippo, et al.
Publicado: (2025)
Max-Rank: Efficient Multiple Testing for Conformal Prediction
por: Timans, Alexander, et al.
Publicado: (2023)
por: Timans, Alexander, et al.
Publicado: (2023)
Diffusing States and Matching Scores: A New Framework for Imitation Learning
por: Wu, Runzhe, et al.
Publicado: (2024)
por: Wu, Runzhe, et al.
Publicado: (2024)
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations
por: Aka, Julius, et al.
Publicado: (2024)
por: Aka, Julius, et al.
Publicado: (2024)
Masked Conditioning for Deep Generative Models
por: Mueller, Phillip, et al.
Publicado: (2025)
por: Mueller, Phillip, et al.
Publicado: (2025)
Quantile-Coupled Flow Matching for Distributional Reinforcement Learning
por: Groom, Michael, et al.
Publicado: (2026)
por: Groom, Michael, 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)
SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking
por: Cundy, Chris, et al.
Publicado: (2023)
por: Cundy, Chris, et al.
Publicado: (2023)
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching
por: Yan, Kai, et al.
Publicado: (2023)
por: Yan, Kai, et al.
Publicado: (2023)
Match or Replay: Self Imitating Proximal Policy Optimization
por: Chaudhary, Gaurav, et al.
Publicado: (2026)
por: Chaudhary, Gaurav, et al.
Publicado: (2026)
One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation
por: Zhang, Xinyu, et al.
Publicado: (2024)
por: Zhang, Xinyu, et al.
Publicado: (2024)
Neural Random Forest Imitation
por: Reinders, Christoph, et al.
Publicado: (2019)
por: Reinders, Christoph, et al.
Publicado: (2019)
Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance
por: Demmler, Tobias, et al.
Publicado: (2025)
por: Demmler, Tobias, et al.
Publicado: (2025)
Causal Imitation Learning Under Measurement Error and Distribution Shift
por: Bo, Shi, et al.
Publicado: (2026)
por: Bo, Shi, et al.
Publicado: (2026)
RILe: Reinforced Imitation Learning
por: Albaba, Mert, et al.
Publicado: (2024)
por: Albaba, Mert, et al.
Publicado: (2024)
Policy Optimization with Smooth Guidance Learned from State-Only Demonstrations
por: Wang, Guojian, et al.
Publicado: (2023)
por: Wang, Guojian, et al.
Publicado: (2023)
Scaling Laws for Imitation Learning in Single-Agent Games
por: Tuyls, Jens, et al.
Publicado: (2023)
por: Tuyls, Jens, et al.
Publicado: (2023)
Curriculum Imitation Learning of Distributed Multi-Robot Policies
por: Roche, Jesús, et al.
Publicado: (2025)
por: Roche, Jesús, et al.
Publicado: (2025)
Balance Equation-based Distributionally Robust Offline Imitation Learning
por: Agrawal, Rishabh, et al.
Publicado: (2025)
por: Agrawal, Rishabh, et al.
Publicado: (2025)
Multimodal and Force-Matched Imitation Learning with a See-Through Visuotactile Sensor
por: Ablett, Trevor, et al.
Publicado: (2023)
por: Ablett, Trevor, et al.
Publicado: (2023)
Matching Multiple Experts: On the Exploitability of Multi-Agent Imitation Learning
por: Bergerault, Antoine, et al.
Publicado: (2026)
por: Bergerault, Antoine, et al.
Publicado: (2026)
Sample-Efficient Expert Query Control in Active Imitation Learning via Conformal Prediction
por: Firouzkouhi, Arad, et al.
Publicado: (2025)
por: Firouzkouhi, Arad, et al.
Publicado: (2025)
Distributionally Robust Imitation Learning: Layered Control Architecture for Certifiable Autonomy
por: Gahlawat, Aditya, et al.
Publicado: (2025)
por: Gahlawat, Aditya, et al.
Publicado: (2025)
Bayesian Active Learning By Distribution Disagreement
por: Werner, Thorben, et al.
Publicado: (2025)
por: Werner, Thorben, et al.
Publicado: (2025)
From Imitation to Refinement -- Residual RL for Precise Assembly
por: Ankile, Lars, et al.
Publicado: (2024)
por: Ankile, Lars, et al.
Publicado: (2024)
Little is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning
por: Abourayya, Amr, et al.
Publicado: (2023)
por: Abourayya, Amr, et al.
Publicado: (2023)
Globally Interpretable Graph Learning via Distribution Matching
por: Nian, Yi, et al.
Publicado: (2023)
por: Nian, Yi, et al.
Publicado: (2023)
Coupled Distributional Random Expert Distillation for World Model Online Imitation Learning
por: Li, Shangzhe, et al.
Publicado: (2025)
por: Li, Shangzhe, et al.
Publicado: (2025)
Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow Matching on Assignment Manifolds
por: Boll, Bastian, et al.
Publicado: (2024)
por: Boll, Bastian, et al.
Publicado: (2024)
Deconfounding Imitation Learning with Variational Inference
por: Vuorio, Risto, et al.
Publicado: (2022)
por: Vuorio, Risto, et al.
Publicado: (2022)
Auto-Encoding Adversarial Imitation Learning
por: Zhang, Kaifeng, et al.
Publicado: (2022)
por: Zhang, Kaifeng, et al.
Publicado: (2022)
Imitation Learning from Purified Demonstrations
por: Wang, Yunke, et al.
Publicado: (2023)
por: Wang, Yunke, et al.
Publicado: (2023)
Latent Wasserstein Adversarial Imitation Learning
por: Yang, Siqi, et al.
Publicado: (2026)
por: Yang, Siqi, et al.
Publicado: (2026)
Bayesian Robust Optimization for Imitation Learning
por: Brown, Daniel S., et al.
Publicado: (2020)
por: Brown, Daniel S., et al.
Publicado: (2020)
Action-Constrained Imitation Learning
por: Yeh, Chia-Han, et al.
Publicado: (2025)
por: Yeh, Chia-Han, et al.
Publicado: (2025)
Continual Learning with Query-Only Attention
por: Bekal, Gautham, et al.
Publicado: (2025)
por: Bekal, Gautham, et al.
Publicado: (2025)
Ejemplares similares
-
MeshFleet: Filtered and Annotated 3D Vehicle Dataset for Domain Specific Generative Modeling
por: Boborzi, Damian, et al.
Publicado: (2025) -
Learnable & Interpretable Model Combination in Dynamical Systems Modeling
por: Thummerer, Tobias, et al.
Publicado: (2024) -
Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction
por: Timans, Alexander, et al.
Publicado: (2024) -
Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception
por: Mueller, Phillip, et al.
Publicado: (2024) -
Imitation Learning as Return Distribution Matching
por: Lazzati, Filippo, et al.
Publicado: (2025)