Saved in:
| Main Authors: | Mishra, Raghav, Manchester, Ian R. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2606.01238 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
EB-MBD: Emerging-Barrier Model-Based Diffusion for Safe Trajectory Optimization in Highly Constrained Environments
by: Mishra, Raghav, et al.
Published: (2025)
by: Mishra, Raghav, et al.
Published: (2025)
DemoDiffusion: One-Shot Human Imitation using pre-trained Diffusion Policy
by: Park, Sungjae, et al.
Published: (2025)
by: Park, Sungjae, et al.
Published: (2025)
X-IL: Exploring the Design Space of Imitation Learning Policies
by: Jia, Xiaogang, et al.
Published: (2025)
by: Jia, Xiaogang, et al.
Published: (2025)
Structured Imitation Learning of Interactive Policies through Inverse Games
by: Sun, Max M., et al.
Published: (2025)
by: Sun, Max M., et al.
Published: (2025)
Diffusion-Based Imitation Learning for Social Pose Generation
by: Martin-Ozimek, Antonio Lech, et al.
Published: (2025)
by: Martin-Ozimek, Antonio Lech, et al.
Published: (2025)
Globally Stable Neural Imitation Policies
by: Abyaneh, Amin, et al.
Published: (2024)
by: Abyaneh, Amin, et al.
Published: (2024)
Diffusion-Reward Adversarial Imitation Learning
by: Lai, Chun-Mao, et al.
Published: (2024)
by: Lai, Chun-Mao, et al.
Published: (2024)
Is Your Imitation Learning Policy Better than Mine? Policy Comparison with Near-Optimal Stopping
by: Snyder, David, et al.
Published: (2025)
by: Snyder, David, et al.
Published: (2025)
Instant Policy: In-Context Imitation Learning via Graph Diffusion
by: Vosylius, Vitalis, et al.
Published: (2024)
by: Vosylius, Vitalis, et al.
Published: (2024)
How to Train Your Robots? The Impact of Demonstration Modality on Imitation Learning
by: Li, Haozhuo, et al.
Published: (2025)
by: Li, Haozhuo, et al.
Published: (2025)
Curriculum Imitation Learning of Distributed Multi-Robot Policies
by: Roche, Jesús, et al.
Published: (2025)
by: Roche, Jesús, et al.
Published: (2025)
Uncertainty-Aware Deployment of Pre-trained Language-Conditioned Imitation Learning Policies
by: Wu, Bo, et al.
Published: (2024)
by: Wu, Bo, et al.
Published: (2024)
Translating Flow to Policy via Hindsight Online Imitation
by: Zheng, Yitian, et al.
Published: (2025)
by: Zheng, Yitian, et al.
Published: (2025)
Offline Imitation Learning upon Arbitrary Demonstrations by Pre-Training Dynamics Representations
by: Ma, Haitong, et al.
Published: (2025)
by: Ma, Haitong, et al.
Published: (2025)
PointMapPolicy: Structured Point Cloud Processing for Multi-Modal Imitation Learning
by: Jia, Xiaogang, et al.
Published: (2025)
by: Jia, Xiaogang, et al.
Published: (2025)
Imitation Learning with Limited Actions via Diffusion Planners and Deep Koopman Controllers
by: Bi, Jianxin, et al.
Published: (2024)
by: Bi, Jianxin, et al.
Published: (2024)
Contractive Dynamical Imitation Policies for Efficient Out-of-Sample Recovery
by: Abyaneh, Amin, et al.
Published: (2024)
by: Abyaneh, Amin, et al.
Published: (2024)
Uncertainty Comes for Free: Human-in-the-Loop Policies with Diffusion Models
by: He, Zhanpeng, et al.
Published: (2025)
by: He, Zhanpeng, et al.
Published: (2025)
Symbolic Imitation Learning: From Black-Box to Explainable Driving Policies
by: Sharifi, Iman, et al.
Published: (2023)
by: Sharifi, Iman, et al.
Published: (2023)
Action-Constrained Imitation Learning
by: Yeh, Chia-Han, et al.
Published: (2025)
by: Yeh, Chia-Han, et al.
Published: (2025)
Real-Time Operator Takeover for Visuomotor Diffusion Policy Training
by: Moletta, Marco, et al.
Published: (2025)
by: Moletta, Marco, et al.
Published: (2025)
How to Train Your Latent Control Barrier Function: Smooth Safety Filtering Under Hard-to-Model Constraints
by: Nakamura, Kensuke, et al.
Published: (2025)
by: Nakamura, Kensuke, et al.
Published: (2025)
SD2AIL: Adversarial Imitation Learning from Synthetic Demonstrations via Diffusion Models
by: Li, Pengcheng, et al.
Published: (2025)
by: Li, Pengcheng, et al.
Published: (2025)
An Introduction to Deep Reinforcement and Imitation Learning
by: Santana, Pedro
Published: (2025)
by: Santana, Pedro
Published: (2025)
Policy Adaptation via Language Optimization: Decomposing Tasks for Few-Shot Imitation
by: Myers, Vivek, et al.
Published: (2024)
by: Myers, Vivek, et al.
Published: (2024)
Mini Diffuser: Fast Multi-task Diffusion Policy Training Using Two-level Mini-batches
by: Hu, Yutong, et al.
Published: (2025)
by: Hu, Yutong, et al.
Published: (2025)
Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training
by: Odonchimed, Sodtavilan, et al.
Published: (2025)
by: Odonchimed, Sodtavilan, et al.
Published: (2025)
The Role of Domain Randomization in Training Diffusion Policies for Whole-Body Humanoid Control
by: Kaidanov, Oleg, et al.
Published: (2024)
by: Kaidanov, Oleg, et al.
Published: (2024)
Semi-Supervised Cross-Domain Imitation Learning
by: Chu, Li-Min, et al.
Published: (2026)
by: Chu, Li-Min, et al.
Published: (2026)
Diffusion Policy Policy Optimization
by: Ren, Allen Z., et al.
Published: (2024)
by: Ren, Allen Z., et al.
Published: (2024)
Phase-Amplitude Reduction-Based Imitation Learning
by: Yamamori, Satoshi, et al.
Published: (2024)
by: Yamamori, Satoshi, et al.
Published: (2024)
MaIL: Improving Imitation Learning with Mamba
by: Jia, Xiaogang, et al.
Published: (2024)
by: Jia, Xiaogang, et al.
Published: (2024)
Accelerating Visual-Policy Learning through Parallel Differentiable Simulation
by: You, Haoxiang, et al.
Published: (2025)
by: You, Haoxiang, et al.
Published: (2025)
Fisher-Preserving Guidance: Training-Free Manifold Constraints for Safe Diffusion Control
by: Ren, Hao, et al.
Published: (2026)
by: Ren, Hao, et al.
Published: (2026)
Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning
by: Wang, Yixiao, et al.
Published: (2024)
by: Wang, Yixiao, et al.
Published: (2024)
Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning
by: Corrado, Nicholas E., et al.
Published: (2023)
by: Corrado, Nicholas E., et al.
Published: (2023)
SPREAD: Subspace Representation Distillation for Lifelong Imitation Learning
by: Roy, Kaushik, et al.
Published: (2026)
by: Roy, Kaushik, et al.
Published: (2026)
A Comparison of Imitation Learning Algorithms for Bimanual Manipulation
by: Drolet, Michael, et al.
Published: (2024)
by: Drolet, Michael, et al.
Published: (2024)
MEGA-DAgger: Imitation Learning with Multiple Imperfect Experts
by: Sun, Xiatao, et al.
Published: (2023)
by: Sun, Xiatao, et al.
Published: (2023)
Dexterous Manipulation through Imitation Learning: A Survey
by: An, Shan, et al.
Published: (2025)
by: An, Shan, et al.
Published: (2025)
Similar Items
-
EB-MBD: Emerging-Barrier Model-Based Diffusion for Safe Trajectory Optimization in Highly Constrained Environments
by: Mishra, Raghav, et al.
Published: (2025) -
DemoDiffusion: One-Shot Human Imitation using pre-trained Diffusion Policy
by: Park, Sungjae, et al.
Published: (2025) -
X-IL: Exploring the Design Space of Imitation Learning Policies
by: Jia, Xiaogang, et al.
Published: (2025) -
Structured Imitation Learning of Interactive Policies through Inverse Games
by: Sun, Max M., et al.
Published: (2025) -
Diffusion-Based Imitation Learning for Social Pose Generation
by: Martin-Ozimek, Antonio Lech, et al.
Published: (2025)