:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yildirim, Yigit, Ugur, Emre
Format:	Preprint
Published:	2024
Subjects:	Robotics Machine Learning
Online Access:	https://arxiv.org/abs/2402.08424
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Social Navigation from Demonstrations with Deep Neural Networks
by: Yildirim, Yigit, et al.
Published: (2024)

RAMPA: Robotic Augmented Reality for Machine Programming by DemonstrAtion
by: Dogangun, Fatih, et al.
Published: (2024)

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning
by: Ada, Suzan Ece, et al.
Published: (2025)

Neuro-Symbolic Skill Discovery for Conditional Multi-Level Planning
by: Aktas, Hakan, et al.
Published: (2024)

Learning Early Social Maneuvers for Enhanced Social Navigation
by: Yildirim, Yigit, et al.
Published: (2024)

Bidirectional Human Interactive AI Framework for Social Robot Navigation
by: Girgin, Tuba, et al.
Published: (2024)

Deep Probabilistic Movement Primitives with a Bayesian Aggregator
by: Przystupa, Michael, et al.
Published: (2023)

Generalization in Transfer Learning
by: Ada, Suzan Ece, et al.
Published: (2019)

Bidirectional Progressive Neural Networks with Episodic Return Progress for Emergent Task Sequencing and Robotic Skill Transfer
by: Ada, Suzan Ece, et al.
Published: (2024)

Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects
by: Scheikl, Paul Maria, et al.
Published: (2023)

Discovering Predictive Relational Object Symbols with Symbolic Attentive Layers
by: Ahmetoglu, Alper, et al.
Published: (2023)

Forecasting in Offline Reinforcement Learning for Non-stationary Environments
by: Ada, Suzan Ece, et al.
Published: (2025)

When a Robot is More Capable than a Human: Learning from Constrained Demonstrators
by: Li, Xinhu, et al.
Published: (2025)

Using Implicit Behavior Cloning and Dynamic Movement Primitive to Facilitate Reinforcement Learning for Robot Motion Planning
by: Zhang, Zengjie, et al.
Published: (2023)

Interleaved Multitask Learning with Energy Modulated Learning Progress
by: Say, Hanne, et al.
Published: (2025)

Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning
by: Ada, Suzan Ece, et al.
Published: (2023)

Cross-Embodied Affordance Transfer through Learning Affordance Equivalences
by: Aktas, Hakan, et al.
Published: (2024)

Beyond Non-Expert Demonstrations: Outcome-Driven Action Constraint for Offline Reinforcement Learning
by: Jiang, Ke, et al.
Published: (2025)

Correspondence learning between morphologically different robots via task demonstrations
by: Aktas, Hakan, et al.
Published: (2023)

MILE: Model-based Intervention Learning
by: Korkmaz, Yigit, et al.
Published: (2025)

Learning Extrinsic Dexterity with Parameterized Manipulation Primitives
by: Yang, Shih-Min, et al.
Published: (2023)

Object and Relation Centric Representations for Push Effect Prediction
by: Tekden, Ahmet E., et al.
Published: (2021)

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

MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions from Demonstrations
by: Prasad, Vignesh, et al.
Published: (2024)

Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning
by: Kicki, Piotr, et al.
Published: (2024)

Developing Driving Strategies Efficiently: A Skill-Based Hierarchical Reinforcement Learning Approach
by: Gurses, Yigit, et al.
Published: (2023)

Causally Robust Reward Learning from Reason-Augmented Preference Feedback
by: Hwang, Minjune, et al.
Published: (2026)

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

Learning Rock Pushability on Rough Planetary Terrain
by: Girgin, Tuba, et al.
Published: (2025)

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

The Rough Topology for Numerical Data
by: Yiğit, Uğur
Published: (2022)

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

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

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

Effect of Optimizer, Initializer, and Architecture of Hypernetworks on Continual Learning from Demonstration
by: Auddy, Sayantan, et al.
Published: (2023)

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

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

Task Parameter Extrapolation via Learning Inverse Tasks from Forward Demonstrations
by: Bahar, Serdar, et al.
Published: (2026)

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)