Shikhar Bahl

収録論文 20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

• FlowDPG: Deterministic Policy Gradient on Flow Matching Policies for Real-World Manipulation
  2026/6/1
• ViPRA: Video Prediction for Robot Actions
  2025/11/1
• HRP: Human Affordances for Robotic Pre-Training
  2024/7/1
• PlayFusion: Skill Acquisition via Diffusion from Language-Annotated Play
  2023/12/1
• Open X-Embodiment: Robotic Learning Datasets and RT-X Models
  2023/10/1
• DEFT: Dexterous Fine-Tuning for Real-World Hand Policies
  2023/10/1
• Efficient RL via Disentangled Environment and Agent Representations
  2023/9/1
• Structured World Models from Human Videos
  2023/8/1
• Affordances from Human Videos as a Versatile Representation for Robotics
  2023/4/1
• ALAN: Autonomously Exploring Robotic Agents in the Real World
  2023/2/1
• VideoDex: Learning Dexterity from Internet Videos
  2022/12/1
• Human-to-Robot Imitation in the Wild
  2022/7/1
• RB2: Robotic Manipulation Benchmarking with a Twist
  2022/3/1
• Hierarchical Neural Dynamic Policies
  2021/7/1
• Neural Dynamic Policies for End-to-End Sensorimotor Learning
  2020/12/1
• Contextual Imagined Goals for Self-Supervised Robotic Learning
  2019/10/1
• Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards
  2019/6/1
• Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
  2019/3/1
• Residual Reinforcement Learning for Robot Control
  2018/12/1
• Visual Reinforcement Learning with Imagined Goals
  2018/7/1