:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Papadimitriou, Dimitris, Brown, Daniel S.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Robotics
Accesso online:	https://arxiv.org/abs/2403.02431
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Representation Alignment from Human Feedback for Cross-Embodiment Reward Learning from Mixed-Quality Demonstrations
di: Mattson, Connor, et al.
Pubblicazione: (2024)

Visual Preference Inference: An Image Sequence-Based Preference Reasoning in Tabletop Object Manipulation
di: Lee, Joonhyung, et al.
Pubblicazione: (2024)

Jointly Learning Cost and Constraints from Demonstrations for Safe Trajectory Generation
di: Chaubey, Shivam, et al.
Pubblicazione: (2024)

ILCL: Inverse Logic-Constraint Learning from Temporally Constrained Demonstrations
di: Cho, Minwoo, et al.
Pubblicazione: (2025)

Demonstration Based Explainable AI for Learning from Demonstration Methods
di: Gu, Morris, et al.
Pubblicazione: (2024)

Condition-based Design of Variable Impedance Controllers from User Demonstrations
di: San-Miguel, Alberto, et al.
Pubblicazione: (2022)

TREND: Tri-teaching for Robust Preference-based Reinforcement Learning with Demonstrations
di: Huang, Shuaiyi, et al.
Pubblicazione: (2025)

Unified Learning from Demonstrations, Corrections, and Preferences during Physical Human-Robot Interaction
di: Mehta, Shaunak A., et al.
Pubblicazione: (2022)

Augmented Reality-Enhanced Robot Teleoperation for Collecting User Demonstrations
di: Gong, Shiqi, et al.
Pubblicazione: (2025)

Learning Symbolic and Subsymbolic Temporal Task Constraints from Bimanual Human Demonstrations
di: Dreher, Christian, et al.
Pubblicazione: (2024)

Reward Learning from Suboptimal Demonstrations with Applications in Surgical Electrocautery
di: Karimi, Zohre, et al.
Pubblicazione: (2024)

Designing Privacy-Preserving Visual Perception for Robot Navigation Based on User Privacy Preferences
di: Huang, Xuying, et al.
Pubblicazione: (2026)

Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning
di: Kuhar, Sachit, et al.
Pubblicazione: (2023)

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

Learning Reward and Policy Jointly from Demonstration and Preference Improves Alignment
di: Li, Chenliang, et al.
Pubblicazione: (2024)

FeasibleCap: Real-Time Embodiment Constraint Guidance for In-the-Wild Robot Demonstration Collection
di: Yin, Zi, et al.
Pubblicazione: (2026)

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations
di: Mattson, Connor, et al.
Pubblicazione: (2025)

An Alignment-Based Approach to Learning Motions from Demonstrations
di: Cuellar, Alex, et al.
Pubblicazione: (2025)

Bayesian Preference Elicitation: Human-In-The-Loop Optimization of An Active Prosthesis
di: Taddei, Sophia, et al.
Pubblicazione: (2026)

Learning Human Preferences Over Robot Behavior as Soft Planning Constraints
di: Narcomey, Austin, et al.
Pubblicazione: (2024)

APRICOT: Active Preference Learning and Constraint-Aware Task Planning with LLMs
di: Wang, Huaxiaoyue, et al.
Pubblicazione: (2024)

Toward Zero-Shot User Intent Recognition in Shared Autonomy
di: Belsare, Atharv, et al.
Pubblicazione: (2025)

Active Constraint Learning in High Dimensions from Demonstrations
di: Qiu, Zheng, et al.
Pubblicazione: (2025)

Learning Neural Control Barrier Functions from Expert Demonstrations using Inverse Constraint Learning
di: Yang, Yuxuan, et al.
Pubblicazione: (2025)

Direct Post-Training Preference Alignment for Multi-Agent Motion Generation Models Using Implicit Feedback from Pre-training Demonstrations
di: Tian, Ran, et al.
Pubblicazione: (2025)

Learning Spatial Bimanual Action Models Based on Affordance Regions and Human Demonstrations
di: Plonka, Björn S., et al.
Pubblicazione: (2024)

A Generalized Matrix Inverse that is Consistent with Respect to Diagonal Transformations
di: Uhlmann, Jeffrey
Pubblicazione: (2026)

Evaluating Pedestrian Trajectory Prediction Methods with Respect to Autonomous Driving
di: Uhlemann, Nico, et al.
Pubblicazione: (2023)

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

Learning Constraint Network from Demonstrations via Positive-Unlabeled Learning with Memory Replay
di: Peng, Baiyu, et al.
Pubblicazione: (2024)

Integrating Disambiguation and User Preferences into Large Language Models for Robot Motion Planning
di: Abugurain, Mohammed, et al.
Pubblicazione: (2024)

Multi-Modal Camera-Based Detection of Vulnerable Road Users
di: Brown, Penelope, et al.
Pubblicazione: (2025)

A*-based Temporal Logic Path Planning with User Preferences on Relaxed Task Satisfaction
di: Kamale, Disha, et al.
Pubblicazione: (2025)

Preserving Sense of Agency: User Preferences for Robot Autonomy and User Control across Household Tasks
di: Yang, Claire, et al.
Pubblicazione: (2025)

System Identification under Constraints and Disturbance: A Bayesian Estimation Approach
di: Martinez, Sergi, et al.
Pubblicazione: (2026)

Inference of Human-derived Specifications of Object Placement via Demonstration
di: Cuellar, Alex, et al.
Pubblicazione: (2025)

Arc-Length-Based Warping for Robot Skill Synthesis from Multiple Demonstrations
di: Braglia, Giovanni, et al.
Pubblicazione: (2024)

Learning Social Navigation from Positive and Negative Demonstrations and Rule-Based Specifications
di: Kim, Chanwoo, et al.
Pubblicazione: (2025)

Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities
di: Paritosh, Parth, et al.
Pubblicazione: (2023)

Bridging the Sim-to-Real Gap with Bayesian Inference
di: Rothfuss, Jonas, et al.
Pubblicazione: (2024)