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Introduction

  • Basic Usage
  • Minari CLI
  • Dataset Standards

API

  • Minari
    • MinariDataset
    • MinariStorage
    • EpisodeData
    • StepData
    • Namespace
  • DataCollector
    • EpisodeBuffer
    • StepDataCallback
    • EpisodeMetadataCallback

Tutorials

  • Dataset Creation
    • Collecting a subset of a dictionary space with StepDataCallback
    • Serializing a custom space
    • PointMaze D4RL dataset
  • Using Datasets
    • Behavioral cloning with PyTorch
    • Implicit Q-Learning with TorchRL

Datasets

  • D4RL
    • Ant Maze
      • Large-Diverse
      • Large-Play
      • Medium-Diverse
      • Medium-Play
      • Umaze-Diverse
      • Umaze
    • Door
      • Cloned
      • Expert
      • Human
    • Hammer
      • Cloned
      • Expert
      • Human
    • Kitchen
      • Complete
      • Mixed
      • Partial
    • MiniGrid
      • Fourrooms-Random
      • Fourrooms
    • Pen
      • Cloned
      • Expert
      • Human
    • Point Maze
      • Large-Dense
      • Large
      • Medium-Dense
      • Medium
      • Open-Dense
      • Open
      • Umaze-Dense
      • Umaze
    • Relocate
      • Cloned
      • Expert
      • Human
  • MuJoCo
    • Mujoco/ant
      • Expert

Development

  • Github
  • Release Notes
  • Contribute to the Docs
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Using DatasetsΒΆ

Behavioral cloning with PyTorch

Behavioral cloning with PyTorch

Behavioral cloning with PyTorch
Implicit Q-Learning with TorchRL

Implicit Q-Learning with TorchRL

Implicit Q-Learning with TorchRL
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Behavioral cloning with PyTorch
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PointMaze D4RL dataset
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