:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ayalew, Tewodros, Zhang, Xiao, Wu, Kevin Yuanbo, Jiang, Tianchong, Maire, Michael, Walter, Matthew R.
Format:	Preprint
Published:	2024
Subjects:	Robotics Artificial Intelligence
Online Access:	https://arxiv.org/abs/2411.17764
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Large Reward Models: Generalizable Online Robot Reward Generation with Vision-Language Models
by: Wu, Yanru, et al.
Published: (2026)

Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning
by: Yunis, David, et al.
Published: (2023)

RankQ: Offline-to-Online Reinforcement Learning via Self-Supervised Action Ranking
by: Choi, Andrew, et al.
Published: (2026)

Reward Training Wheels: Adaptive Auxiliary Rewards for Robotics Reinforcement Learning
by: Wang, Linji, et al.
Published: (2025)

ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization
by: Zhang, Chen Bo Calvin, et al.
Published: (2024)

Self-Correcting VLA: Online Action Refinement via Sparse World Imagination
by: Liu, Chenyv, et al.
Published: (2026)

Masked IRL: LLM-Guided Reward Disambiguation from Demonstrations and Language
by: Hwang, Minyoung, et al.
Published: (2025)

Human-assisted Robotic Policy Refinement via Action Preference Optimization
by: Xia, Wenke, et al.
Published: (2025)

LLM-Driven Self-Refinement for Embodied Drone Task Planning
by: Zhang, Deyu, et al.
Published: (2025)

Online Estimation and Manipulation of Articulated Objects
by: Buchanan, Russell, et al.
Published: (2026)

Leveraging Pre-trained Large Language Models with Refined Prompting for Online Task and Motion Planning
by: Guo, Huihui, et al.
Published: (2025)

Self-Guided Action Diffusion
by: Malhotra, Rhea, et al.
Published: (2025)

Towards Sharper Object Boundaries in Self-Supervised Depth Estimation
by: Cecille, Aurélien, et al.
Published: (2025)

GrndCtrl: Grounding World Models via Self-Supervised Reward Alignment
by: He, Haoyang, et al.
Published: (2025)

SLAM in the Dark: Self-Supervised Learning of Pose, Depth and Loop-Closure from Thermal Images
by: Xu, Yangfan, et al.
Published: (2025)

Sparse Compositional Flow Matching by geometric assembly from motion primitives
by: Tang, Yan, et al.
Published: (2026)

No More Mumbles: Enhancing Robot Intelligibility through Speech Adaptation
by: Ren, Qiaoqiao, et al.
Published: (2024)

Learning Reward for Robot Skills Using Large Language Models via Self-Alignment
by: Zeng, Yuwei, et al.
Published: (2024)

The Robot's Inner Critic: Self-Refinement of Social Behaviors through VLM-based Replanning
by: Lim, Jiyu, et al.
Published: (2026)

Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model
by: Yuan, Xiu, et al.
Published: (2024)

The SET Perceptual Factors Framework: Towards Assured Perception for Autonomous Systems
by: Williams, Troi
Published: (2025)

StackGen: Generating Stable Structures from Silhouettes via Diffusion
by: Sun, Luzhe, et al.
Published: (2024)

Geometry Guided Self-Consistency for Physical AI
by: Dai, Yinwei, et al.
Published: (2026)

PhysCodeBench: Benchmarking Physics-Aware Symbolic Simulation of 3D Scenes via Self-Corrective Multi-Agent Refinement
by: Xie, Tianyidan, et al.
Published: (2026)

HapCompass: A Rotational Haptic Device for Contact-Rich Robotic Teleoperation
by: Tan, Xiangshan, et al.
Published: (2026)

RDAR: Reward-Driven Agent Relevance Estimation for Autonomous Driving
by: Bosio, Carlo, et al.
Published: (2025)

Adaptive Querying for Reward Learning from Human Feedback
by: Anand, Yashwanthi, et al.
Published: (2024)

INoD: Injected Noise Discriminator for Self-Supervised Representation Learning in Agricultural Fields
by: Hindel, Julia, et al.
Published: (2023)

TeViR: Text-to-Video Reward with Diffusion Models for Efficient Reinforcement Learning
by: Chen, Yuhui, et al.
Published: (2025)

Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling
by: Bahnam, Stavrow A., et al.
Published: (2025)

Robots of the Lost Arc: Self-Supervised Learning to Dynamically Manipulate Fixed-Endpoint Cables
by: Zhang, Harry, et al.
Published: (2020)

Learning from Imperfect Demonstrations with Self-Supervision for Robotic Manipulation
by: Wu, Kun, et al.
Published: (2024)

Physically-Grounded Goal Imagination: Physics-Informed Variational Autoencoder for Self-Supervised Reinforcement Learning
by: Nguyen, Lan Thi Ha, et al.
Published: (2025)

SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning
by: Zhang, Yu, et al.
Published: (2025)

Policy-Guided Diffusion
by: Jackson, Matthew Thomas, et al.
Published: (2024)

MILES: Making Imitation Learning Easy with Self-Supervision
by: Papagiannis, Georgios, et al.
Published: (2024)

Actor-Critic for Continuous Action Chunks: A Reinforcement Learning Framework for Long-Horizon Robotic Manipulation with Sparse Reward
by: Yang, Jiarui, et al.
Published: (2025)

AnchorRefine: Synergy-Manipulation Based on Trajectory Anchor and Residual Refinement for Vision-Language-Action Models
by: Jia, Tingzheng, et al.
Published: (2026)

End-to-End Driving via Self-Supervised Imitation Learning Using Camera and LiDAR Data
by: Park, Jin Bok, et al.
Published: (2023)

Mixed-Initiative Human-Robot Teaming under Suboptimality with Online Bayesian Adaptation
by: Natarajan, Manisha, et al.
Published: (2024)