Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning

Documenti analoghi

• A Two-stage Reinforcement Learning-based Approach for Multi-entity Task Allocation
  di: Gong, Aicheng, et al.
  Pubblicazione: (2024)
• Exploration and Anti-Exploration with Distributional Random Network Distillation
  di: Yang, Kai, et al.
  Pubblicazione: (2024)
• Novelty-based Sample Reuse for Continuous Robotics Control
  di: Duan, Ke, et al.
  Pubblicazione: (2024)
• Efficient Cross-Domain Offline Reinforcement Learning with Dynamics- and Value-Aligned Data Filtering
  di: Qiao, Zhongjian, et al.
  Pubblicazione: (2025)
• Debiased Model-based Representations for Sample-efficient Continuous Control
  di: Lyu, Jiafei, et al.
  Pubblicazione: (2026)