Saved in:
| Main Authors: | Boborzi, Damian, Straehle, Christoph-Nikolas, Buchner, Jens S., Mikelsons, Lars |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2202.04332 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MeshFleet: Filtered and Annotated 3D Vehicle Dataset for Domain Specific Generative Modeling
by: Boborzi, Damian, et al.
Published: (2025)
by: Boborzi, Damian, et al.
Published: (2025)
Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction
by: Timans, Alexander, et al.
Published: (2024)
by: Timans, Alexander, et al.
Published: (2024)
Learnable & Interpretable Model Combination in Dynamical Systems Modeling
by: Thummerer, Tobias, et al.
Published: (2024)
by: Thummerer, Tobias, et al.
Published: (2024)
Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception
by: Mueller, Phillip, et al.
Published: (2024)
by: Mueller, Phillip, et al.
Published: (2024)
Max-Rank: Efficient Multiple Testing for Conformal Prediction
by: Timans, Alexander, et al.
Published: (2023)
by: Timans, Alexander, et al.
Published: (2023)
Imitation Learning as Return Distribution Matching
by: Lazzati, Filippo, et al.
Published: (2025)
by: Lazzati, Filippo, et al.
Published: (2025)
Diffusing States and Matching Scores: A New Framework for Imitation Learning
by: Wu, Runzhe, et al.
Published: (2024)
by: Wu, Runzhe, et al.
Published: (2024)
Masked Conditioning for Deep Generative Models
by: Mueller, Phillip, et al.
Published: (2025)
by: Mueller, Phillip, et al.
Published: (2025)
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations
by: Aka, Julius, et al.
Published: (2024)
by: Aka, Julius, et al.
Published: (2024)
Quantile-Coupled Flow Matching for Distributional Reinforcement Learning
by: Groom, Michael, et al.
Published: (2026)
by: Groom, Michael, et al.
Published: (2026)
Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance
by: Demmler, Tobias, et al.
Published: (2025)
by: Demmler, Tobias, et al.
Published: (2025)
JUICER: Data-Efficient Imitation Learning for Robotic Assembly
by: Ankile, Lars, et al.
Published: (2024)
by: Ankile, Lars, et al.
Published: (2024)
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching
by: Yan, Kai, et al.
Published: (2023)
by: Yan, Kai, et al.
Published: (2023)
SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking
by: Cundy, Chris, et al.
Published: (2023)
by: Cundy, Chris, et al.
Published: (2023)
One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation
by: Zhang, Xinyu, et al.
Published: (2024)
by: Zhang, Xinyu, et al.
Published: (2024)
Match or Replay: Self Imitating Proximal Policy Optimization
by: Chaudhary, Gaurav, et al.
Published: (2026)
by: Chaudhary, Gaurav, et al.
Published: (2026)
Neural Random Forest Imitation
by: Reinders, Christoph, et al.
Published: (2019)
by: Reinders, Christoph, et al.
Published: (2019)
RILe: Reinforced Imitation Learning
by: Albaba, Mert, et al.
Published: (2024)
by: Albaba, Mert, et al.
Published: (2024)
Causal Imitation Learning Under Measurement Error and Distribution Shift
by: Bo, Shi, et al.
Published: (2026)
by: Bo, Shi, et al.
Published: (2026)
Scaling Laws for Imitation Learning in Single-Agent Games
by: Tuyls, Jens, et al.
Published: (2023)
by: Tuyls, Jens, et al.
Published: (2023)
Matching Multiple Experts: On the Exploitability of Multi-Agent Imitation Learning
by: Bergerault, Antoine, et al.
Published: (2026)
by: Bergerault, Antoine, et al.
Published: (2026)
Curriculum Imitation Learning of Distributed Multi-Robot Policies
by: Roche, Jesús, et al.
Published: (2025)
by: Roche, Jesús, et al.
Published: (2025)
Multimodal and Force-Matched Imitation Learning with a See-Through Visuotactile Sensor
by: Ablett, Trevor, et al.
Published: (2023)
by: Ablett, Trevor, et al.
Published: (2023)
Sample-Efficient Expert Query Control in Active Imitation Learning via Conformal Prediction
by: Firouzkouhi, Arad, et al.
Published: (2025)
by: Firouzkouhi, Arad, et al.
Published: (2025)
Balance Equation-based Distributionally Robust Offline Imitation Learning
by: Agrawal, Rishabh, et al.
Published: (2025)
by: Agrawal, Rishabh, et al.
Published: (2025)
Policy Optimization with Smooth Guidance Learned from State-Only Demonstrations
by: Wang, Guojian, et al.
Published: (2023)
by: Wang, Guojian, et al.
Published: (2023)
Distributionally Robust Imitation Learning: Layered Control Architecture for Certifiable Autonomy
by: Gahlawat, Aditya, et al.
Published: (2025)
by: Gahlawat, Aditya, et al.
Published: (2025)
From Imitation to Refinement -- Residual RL for Precise Assembly
by: Ankile, Lars, et al.
Published: (2024)
by: Ankile, Lars, et al.
Published: (2024)
Migrant Workers, Differentiated Rights, and Relational Equality in Host States
by: Christine Straehle
Published: (2025)
by: Christine Straehle
Published: (2025)
Bayesian Active Learning By Distribution Disagreement
by: Werner, Thorben, et al.
Published: (2025)
by: Werner, Thorben, et al.
Published: (2025)
Reinforce Adjoint Matching: Scaling RL Post-Training of Diffusion and Flow-Matching Models
by: Bergmeister, Andreas, et al.
Published: (2026)
by: Bergmeister, Andreas, et al.
Published: (2026)
Coupled Distributional Random Expert Distillation for World Model Online Imitation Learning
by: Li, Shangzhe, et al.
Published: (2025)
by: Li, Shangzhe, et al.
Published: (2025)
Little is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning
by: Abourayya, Amr, et al.
Published: (2023)
by: Abourayya, Amr, et al.
Published: (2023)
Action-Constrained Imitation Learning
by: Yeh, Chia-Han, et al.
Published: (2025)
by: Yeh, Chia-Han, et al.
Published: (2025)
The Impact of Model Zoo Size and Composition on Weight Space Learning
by: Falk, Damian, et al.
Published: (2025)
by: Falk, Damian, et al.
Published: (2025)
Deconfounding Imitation Learning with Variational Inference
by: Vuorio, Risto, et al.
Published: (2022)
by: Vuorio, Risto, et al.
Published: (2022)
Auto-Encoding Adversarial Imitation Learning
by: Zhang, Kaifeng, et al.
Published: (2022)
by: Zhang, Kaifeng, et al.
Published: (2022)
Imitation Learning from Purified Demonstrations
by: Wang, Yunke, et al.
Published: (2023)
by: Wang, Yunke, et al.
Published: (2023)
Latent Wasserstein Adversarial Imitation Learning
by: Yang, Siqi, et al.
Published: (2026)
by: Yang, Siqi, et al.
Published: (2026)
Bayesian Robust Optimization for Imitation Learning
by: Brown, Daniel S., et al.
Published: (2020)
by: Brown, Daniel S., et al.
Published: (2020)
Similar Items
-
MeshFleet: Filtered and Annotated 3D Vehicle Dataset for Domain Specific Generative Modeling
by: Boborzi, Damian, et al.
Published: (2025) -
Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction
by: Timans, Alexander, et al.
Published: (2024) -
Learnable & Interpretable Model Combination in Dynamical Systems Modeling
by: Thummerer, Tobias, et al.
Published: (2024) -
Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception
by: Mueller, Phillip, et al.
Published: (2024) -
Max-Rank: Efficient Multiple Testing for Conformal Prediction
by: Timans, Alexander, et al.
Published: (2023)