Joseph J. Lim

収録論文 25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

• N2M: Bridging Navigation and Manipulation by Learning Pose Preference from Rollout
  2025/9/1
• Subtask-Aware Visual Reward Learning from Segmented Demonstrations
  2025/2/1
• Mitigating Suboptimality of Deterministic Policy Gradients in Complex Q-functions
  2024/10/1
• LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers
  2023/12/1
• Open X-Embodiment: Robotic Learning Datasets and RT-X Models
  2023/10/1
• Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance
  2023/10/1
• SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling
  2023/6/1
• FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation
  2023/5/1
• QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing
  2023/2/1
• PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection
  2022/12/1
• Cross-Domain Transfer via Semantic Skill Imitation
  2022/12/1
• Skill-based Model-based Reinforcement Learning
  2022/7/1
• Task-Induced Representation Learning
  2022/4/1
• Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization
  2021/11/1
• Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation
  2021/11/1
• Demonstration-Guided Reinforcement Learning with Learned Skills
  2021/7/1
• Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding
  2021/7/1
• Generalization to New Actions in Reinforcement Learning
  2020/11/1
• Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments
  2020/10/1
• Accelerating Reinforcement Learning with Learned Skill Priors
  2020/10/1
• To Follow or not to Follow: Selective Imitation Learning from Observations
  2019/12/1
• IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
  2019/11/1
• Auto-conditioned Recurrent Mixture Density Networks for Learning Generalizable Robot Skills
  2018/10/1
• Simulator Predictive Control: Using Learned Task Representations and MPC for Zero-Shot Generalization and Sequencing
  2018/10/1
• Scaling simulation-to-real transfer by learning composable robot skills
  2018/9/1