DI-drive
0.3.4
  • Installation
  • Tutorial
  • Features
  • Model Zoo
    • Imitation Learning Model Zoo
      • Conditional Imitation Learning
      • Learning by Cheating
      • from Continuous Intention to Continuous Trajectory
    • Reinforcement Learning Model Zoo
      • BeV Speed End-to-end Reinforcement Learning
      • End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances
      • Latent Reinforcement Learning
      • MetaDrive Macro Environment
    • Other Method
      • DREX in MetaDrive
  • API Doc
  • FAQ
DI-drive
  • Docs »
  • Model Zoo
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Model Zoo¶

Imitation Learning Model Zoo¶

  • Conditional Imitation Learning
  • Learning by Cheating
  • from Continuous Intention to Continuous Trajectory

Reinforcement Learning Model Zoo¶

  • BeV Speed End-to-end Reinforcement Learning
  • End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances
  • Latent Reinforcement Learning
  • MetaDrive Macro Environment

Other Method¶

  • DREX in MetaDrive
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