Karol Arndt

収録論文 10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

• Co-Imitation: Learning Design and Behaviour by Imitation
  2022/9/1
• Online vs. Offline Adaptive Domain Randomization Benchmark
  2022/6/1
• Training and Evaluation of Deep Policies using Reinforcement Learning and Generative Models
  2022/4/1
• SafeAPT: Safe Simulation-to-Real Robot Learning using Diverse Policies Learned in Simulation
  2022/1/1
• DROPO: Sim-to-Real Transfer with Offline Domain Randomization
  2022/1/1
• Affine Transport for Sim-to-Real Domain Adaptation
  2021/5/1
• Domain Curiosity: Learning Efficient Data Collection Strategies for Domain Adaptation
  2021/3/1
• Few-shot model-based adaptation in noisy conditions
  2020/10/1
• Meta Reinforcement Learning for Sim-to-real Domain Adaptation
  2019/9/1
• Affordance Learning for End-to-End Visuomotor Robot Control
  2019/3/1