Towards an Adaptable and Generalizable Optimization Engine in Decision and Control: A Meta Reinforcement Learning Approach

Documenti analoghi

• Hierarchical Meta-Reinforcement Learning via Automated Macro-Action Discovery
  di: Cho, Minjae, et al.
  Pubblicazione: (2024)
• Sparsity-based Safety Conservatism for Constrained Offline Reinforcement Learning
  di: Cho, Minjae, et al.
  Pubblicazione: (2024)
• Mind the Gap: Towards Generalizable Autonomous Penetration Testing via Domain Randomization and Meta-Reinforcement Learning
  di: Zhou, Shicheng, et al.
  Pubblicazione: (2024)
• Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach
  di: Cristian, Rares, et al.
  Pubblicazione: (2025)
• Unicorn: A Universal and Collaborative Reinforcement Learning Approach Towards Generalizable Network-Wide Traffic Signal Control
  di: Zhang, Yifeng, et al.
  Pubblicazione: (2025)