Elie Aljalbout

収録論文 23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

• DREAMSTEER: Latent World Models Can Steer VLA Policies During Deployment Without Any Finetuning
  2026/7/1
• Approximate Imitation Learning for Event-based Quadrotor Flight in Cluttered Environments
  2026/3/1
• The Reality Gap in Robotics: Challenges, Solutions, and Best Practices
  2025/10/23
• The Reality Gap in Robotics: Challenges, Solutions, and Best Practices
  2025/10/1
• Learning on the Fly: Rapid Policy Adaptation via Differentiable Simulation
  2025/8/1
• Accelerating Model-Based Reinforcement Learning with State-Space World Models
  2025/2/1
• Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight
  2025/1/1
• Multi-Task Reinforcement Learning for Quadrotors
  2024/12/1
• Student-Informed Teacher Training
  2024/12/1
• LIMT: Language-Informed Multi-Task Visual World Models
  2024/7/1
• The Shortcomings of Force-from-Motion in Robot Learning
  2024/7/1
• Guided Decoding for Robot On-line Motion Generation and Adaption
  2024/3/1
• On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer
  2023/12/1
• Actor-Critic Model Predictive Control: Differentiable Optimization meets Reinforcement Learning for Agile Flight
  2023/6/1
• CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces
  2022/11/1
• Learning Robotic Manipulation Skills Using an Adaptive Force-Impedance Action Space
  2021/10/1
• Dual-Arm Adversarial Robot Learning
  2021/10/1
• Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning
  2021/10/1
• Learning to Centralize Dual-Arm Assembly
  2021/10/1
• Making Curiosity Explicit in Vision-based RL
  2021/9/1
• How to Make Deep RL Work in Practice
  2020/10/1
• Learning Vision-based Reactive Policies for Obstacle Avoidance
  2020/10/1
• Task-Independent Spiking Central Pattern Generator: A Learning-Based Approach
  2020/3/1