World4RL: Diffusion World Models for Policy Refinement with Reinforcement Learning for Robotic Manipulation

Ähnliche Einträge

• WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL
  von: Jiang, Zhennan, et al.
  Veröffentlicht: (2026)
• Towards Long-Lived Robots: Continual Learning VLA Models via Reinforcement Fine-Tuning
  von: Liu, Yuan, et al.
  Veröffentlicht: (2026)
• RL-100: Performant Robotic Manipulation with Real-World Reinforcement Learning
  von: Lei, Kun, et al.
  Veröffentlicht: (2025)
• TeViR: Text-to-Video Reward with Diffusion Models for Efficient Reinforcement Learning
  von: Chen, Yuhui, et al.
  Veröffentlicht: (2025)
• Survey of Vision-Language-Action Models for Embodied Manipulation
  von: Li, Haoran, et al.
  Veröffentlicht: (2025)