:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Auddy, Sayantan, Bergner, Sebastian, Piater, Justus
Format:	Preprint
Published:	2023
Subjects:	Robotics Machine Learning
Online Access:	https://arxiv.org/abs/2401.00524
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scalable and Efficient Continual Learning from Demonstration via a Hypernetwork-generated Stable Dynamics Model
by: Auddy, Sayantan, et al.
Published: (2023)

Imitation Learning-based Direct Visual Servoing using the Large Projection Formulation
by: Auddy, Sayantan, et al.
Published: (2024)

Continual Domain Randomization
by: Josifovski, Josip, et al.
Published: (2024)

Trajectory First: A Curriculum for Discovering Diverse Policies
by: Braun, Cornelius V., et al.
Published: (2025)

Unsupervised Learning of Effective Actions in Robotics
by: Zaric, Marko, et al.
Published: (2024)

Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks
by: Pandaram, Muthukumar, et al.
Published: (2025)

Continual Model-Based Reinforcement Learning with Hypernetworks
by: Huang, Yizhou, et al.
Published: (2020)

ORN-CBF: Learning Observation-conditioned Residual Neural Control Barrier Functions via Hypernetworks
by: Derajić, Bojan, et al.
Published: (2025)

Unified Task and Motion Planning using Object-centric Abstractions of Motion Constraints
by: Agostini, Alejandro, et al.
Published: (2023)

Learning Maximal Safe Sets Using Hypernetworks for MPC-based Local Trajectory Planning in Unknown Environments
by: Derajić, Bojan, et al.
Published: (2024)

Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control
by: Xiong, Zheng, et al.
Published: (2024)

CLAM: Continuous Latent Action Models for Robot Learning from Unlabeled Demonstrations
by: Liang, Anthony, et al.
Published: (2025)

Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling
by: Hollenstein, Jakob, et al.
Published: (2023)

Spiking Neural Networks for Continuous Control via End-to-End Model-Based Learning
by: Huebotter, Justus, et al.
Published: (2025)

On Spectral Learning for Odeco Tensors: Perturbation, Initialization, and Algorithms
by: Auddy, Arnab, et al.
Published: (2025)

Learning Visual Quadrupedal Loco-Manipulation from Demonstrations
by: He, Zhengmao, et al.
Published: (2024)

Positive-Unlabeled Constraint Learning for Inferring Nonlinear Continuous Constraints Functions from Expert Demonstrations
by: Peng, Baiyu, et al.
Published: (2024)

Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations
by: Chen, Letian, et al.
Published: (2022)

Learning Parameterized Skills from Demonstrations
by: Gupta, Vedant, et al.
Published: (2025)

Learning Multiple Initial Solutions to Optimization Problems
by: Sharony, Elad, et al.
Published: (2024)

Learning Gentle Grasping from Human-Free Force Control Demonstration
by: Li, Mingxuan, et al.
Published: (2024)

Conditional Neural Expert Processes for Learning Movement Primitives from Demonstration
by: Yildirim, Yigit, et al.
Published: (2024)

Learning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations
by: Zhou, Bohan, et al.
Published: (2024)

Learning Memory Mechanisms for Decision Making through Demonstrations
by: Yue, William, et al.
Published: (2024)

Learning Continuous Grasping Function with a Dexterous Hand from Human Demonstrations
by: Ye, Jianglong, et al.
Published: (2022)

Demonstration Sidetracks: Categorizing Systematic Non-Optimality in Human Demonstrations
by: Fang, Shijie, et al.
Published: (2025)

HyperVLA: Efficient Inference in Vision-Language-Action Models via Hypernetworks
by: Xiong, Zheng, et al.
Published: (2025)

Instructing Robots by Sketching: Learning from Demonstration via Probabilistic Diagrammatic Teaching
by: Zhi, Weiming, et al.
Published: (2023)

Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations
by: Urain, Julen, et al.
Published: (2024)

The Art of Imitation: Learning Long-Horizon Manipulation Tasks from Few Demonstrations
by: von Hartz, Jan Ole, et al.
Published: (2024)

Learning from Imperfect Demonstrations via Temporal Behavior Tree-Guided Trajectory Repair
by: Puranic, Aniruddh G., et al.
Published: (2026)

ELEMENTAL: Interactive Learning from Demonstrations and Vision-Language Models for Reward Design in Robotics
by: Chen, Letian, et al.
Published: (2024)

Rainbow-DemoRL: Combining Improvements in Demonstration-Augmented Reinforcement Learning
by: Bhatt, Dwait, et al.
Published: (2026)

Flow-Enabled Generalization to Human Demonstrations in Few-Shot Imitation Learning
by: Tang, Runze, et al.
Published: (2026)

How to Train Your Robots? The Impact of Demonstration Modality on Imitation Learning
by: Li, Haozhuo, et al.
Published: (2025)

DexCanvas: Bridging Human Demonstrations and Robot Learning for Dexterous Manipulation
by: Xu, Xinyue, et al.
Published: (2025)

Learning Novel Skills from Language-Generated Demonstrations
by: Jin, Ao-Qun, et al.
Published: (2024)

Learning Adaptive Dexterous Grasping from Single Demonstrations
by: Shi, Liangzhi, et al.
Published: (2025)

Augmented Reality Demonstrations for Scalable Robot Imitation Learning
by: Yang, Yue, et al.
Published: (2024)

PolicyFlow: Policy Optimization with Continuous Normalizing Flow in Reinforcement Learning
by: Yang, Shunpeng, et al.
Published: (2026)