Anca D. Dragan

収録論文 47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

• Quantifying Assistive Robustness Via the Natural-Adversarial Frontier
  2023/10/1
• Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning
  2023/9/1
• Aligning Robot and Human Representations
  2023/2/1
• SIRL: Similarity-based Implicit Representation Learning
  2023/1/1
• Learning Representations that Enable Generalization in Assistive Tasks
  2022/12/1
• First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization
  2022/5/1
• Causal Confusion and Reward Misidentification in Preference-Based Reward Learning
  2022/4/1
• Teaching Robots to Span the Space of Functional Expressive Motion
  2022/3/1
• ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning
  2022/2/1
• Inducing Structure in Reward Learning by Learning Features
  2022/1/1
• Assisted Robust Reward Design
  2021/11/1
• Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models
  2021/9/1
• Physical Interaction as Communication: Learning Robot Objectives Online from Human Corrections
  2021/7/1
• Optimal Cost Design for Model Predictive Control
  2021/4/1
• Situational Confidence Assistance for Lifelong Shared Autonomy
  2021/4/1
• On complementing end-to-end human behavior predictors with planning
  2021/3/1
• Dynamically Switching Human Prediction Models for Efficient Planning
  2021/3/1
• Analyzing Human Models that Adapt Online
  2021/3/1
• Assisted Perception: Optimizing Observations to Communicate State
  2020/8/1
• Feature Expansive Reward Learning: Rethinking Human Input
  2020/6/1
• Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical Corrections
  2020/2/1
• Reward-rational (implicit) choice: A unifying formalism for reward learning
  2020/2/1
• LESS is More: Rethinking Probabilistic Models of Human Behavior
  2020/1/1
• Nonverbal Robot Feedback for Human Teachers
  2019/11/1
• A Hamilton-Jacobi Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning
  2019/10/1
• Scaled Autonomy: Enabling Human Operators to Control Robot Fleets
  2019/10/1
• Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games
  2019/9/1
• An Extensible Interactive Interface for Agent Design
  2019/6/1
• Learning from Extrapolated Corrections
  2018/12/1
• A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance
  2018/11/1
• Establishing Appropriate Trust via Critical States
  2018/10/1
• Learning under Misspecified Objective Spaces
  2018/10/1
• Expressing Robot Incapability
  2018/10/1
• Hierarchical Game-Theoretic Planning for Autonomous Vehicles
  2018/10/1
• Cost Functions for Robot Motion Style
  2018/9/1
• Social Cohesion in Autonomous Driving
  2018/8/1
• Courteous Autonomous Cars
  2018/8/1
• Simplifying Reward Design through Divide-and-Conquer
  2018/6/1
• Probabilistically Safe Robot Planning with Confidence-Based Human Predictions
  2018/6/1
• Do You Want Your Autonomous Car To Drive Like You?
  2018/2/1
• Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration
  2018/2/1
• Shared Autonomy via Deep Reinforcement Learning
  2018/2/1
• Generating Plans that Predict Themselves
  2018/2/1
• Expressive Robot Motion Timing
  2018/2/1
• Pragmatic-Pedagogic Value Alignment
  2017/7/1
• Robot Planning with Mathematical Models of Human State and Action
  2017/5/1
• Enabling Robots to Communicate their Objectives
  2017/2/1