Scott Niekum

収録論文 30本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• Regularized Latent Dynamics Prediction is a Strong Baseline For Behavioral Foundation Models
  2026/3/1
• DeepFleet: Multi-Agent Foundation Models for Mobile Robots
  2025/8/1
• Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning
  2025/5/6
• Fast Adaptation with Behavioral Foundation Models
  2025/4/10
• Fast Adaptation with Behavioral Foundation Models
  2025/4/1
• RLZero: Direct Policy Inference from Language Without In-Domain Supervision
  2024/12/1
• SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions
  2024/10/1
• A Dual Approach to Imitation Learning from Observations with Offline Datasets
  2024/6/1
• Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning
  2024/5/1
• SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning
  2023/11/1
• Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill Learning
  2023/7/1
• Granger Causal Interaction Skill Chains
  2023/6/1
• Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
  2023/2/1
• Understanding Acoustic Patterns of Human Teachers Demonstrating Manipulation Tasks to Robots
  2022/11/1
• Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?
  2022/4/1
• A Ranking Game for Imitation Learning
  2022/2/1
• You Only Evaluate Once: a Simple Baseline Algorithm for Offline RL
  2021/10/1
• Distributional Depth-Based Estimation of Object Articulation Models
  2021/8/1
• Self-Supervised Online Reward Shaping in Sparse-Reward Environments
  2021/3/1
• SCAPE: Learning Stiffness Control from Augmented Position Control Experiences
  2021/2/1
• The EMPATHIC Framework for Task Learning from Implicit Human Feedback
  2020/9/1
• ScrewNet: Category-Independent Articulation Model Estimation From Depth Images Using Screw Theory
  2020/8/1
• Understanding Teacher Gaze Patterns for Robot Learning
  2019/7/1
• A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms
  2019/7/1
• Learning Hybrid Object Kinematics for Efficient Hierarchical Planning Under Uncertainty
  2019/7/1
• Uncertainty-Aware Data Aggregation for Deep Imitation Learning
  2019/5/1
• LAAIR: A Layered Architecture for Autonomous Interactive Robots
  2018/11/1
• Towards Online Learning from Corrective Demonstrations
  2018/10/1
• One-Shot Learning of Multi-Step Tasks from Observation via Activity Localization in Auxiliary Video
  2018/6/1
• Efficient Hierarchical Robot Motion Planning Under Uncertainty and Hybrid Dynamics
  2018/2/1