Acting upon Imagination: when to trust imagined trajectories in model based reinforcement learning

Ähnliche Einträge

• Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control
  von: Sheng, Zihao, et al.
  Veröffentlicht: (2024)
• Surrogate uncertainty estimation for your time series forecasting black-box: learn when to trust
  von: Erlygin, Leonid, et al.
  Veröffentlicht: (2023)
• Causal prompting model-based offline reinforcement learning
  von: Yu, Xuehui, et al.
  Veröffentlicht: (2024)
• Policy-shaped prediction: avoiding distractions in model-based reinforcement learning
  von: Hutson, Miles, et al.
  Veröffentlicht: (2024)
• Towards modeling evolving longitudinal health trajectories with a transformer-based deep learning model
  von: Moen, Hans, et al.
  Veröffentlicht: (2024)