Amy Zhang

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

• Foresight: Iterative Reasoning About Clues that Matter for Navigation
  2026/6/1
• Regularized Latent Dynamics Prediction is a Strong Baseline For Behavioral Foundation Models
  2026/3/1
• A Recipe for Stable Offline Multi-agent Reinforcement Learning
  2026/3/1
• Self-Refining Vision Language Model for Robotic Failure Detection and Reasoning
  2026/2/1
• Hierarchical Entity-centric Reinforcement Learning with Factored Subgoal Diffusion
  2026/2/1
• Multi-agent Coordination via Flow Matching
  2025/11/1
• Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks
  2025/7/1
• 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
• CREStE: Scalable Mapless Navigation with Internet Scale Priors and Counterfactual Guidance
  2025/3/1
• EC-Diffuser: Multi-Object Manipulation via Entity-Centric Behavior Generation
  2024/12/1
• RLZero: Direct Policy Inference from Language Without In-Domain Supervision
  2024/12/1
• Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback
  2024/10/1
• 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
• $f$-Policy Gradients: A General Framework for Goal Conditioned RL using $f$-Divergences
  2023/10/1
• Generalization Across Observation Shifts in Reinforcement Learning
  2023/6/1
• Fairness-Sensitive Policy-Gradient Reinforcement Learning for Reducing Bias in Robotic Assistance
  2023/6/1
• LIV: Language-Image Representations and Rewards for Robotic Control
  2023/6/1
• Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement
  2023/3/1
• Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
  2023/2/1
• VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
  2022/10/1
• Robust Policy Learning over Multiple Uncertainty Sets
  2022/2/1
• Multi-Task Reinforcement Learning with Context-based Representations
  2021/2/1
• Model-Invariant State Abstractions for Model-Based Reinforcement Learning
  2021/2/1
• Intervention Design for Effective Sim2Real Transfer
  2020/12/1
• Improving Sample Efficiency in Model-Free Reinforcement Learning from Images
  2019/10/1