Hybrid-AIRL: Enhancing Inverse Reinforcement Learning with Supervised Expert Guidance

Documenti analoghi

• AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
  di: Yousaf, Iqra
  Pubblicazione: (2024)
• N-Agent Ad Hoc Teamwork
  di: Wang, Caroline, et al.
  Pubblicazione: (2024)
• Exploring the Technology Landscape through Topic Modeling, Expert Involvement, and Reinforcement Learning
  di: Nazari, Ali, et al.
  Pubblicazione: (2025)
• ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork
  di: Wang, Caroline, et al.
  Pubblicazione: (2025)
• A Parallel Hybrid Action Space Reinforcement Learning Model for Real-world Adaptive Traffic Signal Control
  di: Wang, Yuxuan, et al.
  Pubblicazione: (2025)