d3rlpy
v0.32

Tutorials

  • Getting Started
  • Jupyter Notebooks

References

  • API Reference
    • Algorithms
    • Q Functions
    • MDPDataset
    • Datasets
    • Preprocessing
    • Data Augmentation
    • Metrics
    • Save and Load
    • Logging
    • scikit-learn compatibility
    • Online Training
    • Model-based Data Augmentation
  • Installation

Other

  • License
d3rlpy
  • Docs »
  • API Reference
  • Edit on GitHub

API ReferenceΒΆ

  • Algorithms
    • Continuous control algorithms
    • Discrete control algorithms
  • Q Functions
  • MDPDataset
    • d3rlpy.dataset.MDPDataset
    • d3rlpy.dataset.Episode
    • d3rlpy.dataset.Transition
    • d3rlpy.dataset.TransitionMiniBatch
  • Datasets
    • d3rlpy.datasets.get_cartpole
    • d3rlpy.datasets.get_pendulum
    • d3rlpy.datasets.get_pybullet
    • d3rlpy.datasets.get_atari
  • Preprocessing
    • d3rlpy.preprocessing.PixelScaler
    • d3rlpy.preprocessing.MinMaxScaler
    • d3rlpy.preprocessing.StandardScaler
  • Data Augmentation
    • Image Observation
    • Vector Observation
  • Metrics
    • Algorithms
    • Dynamics
  • Save and Load
    • save_model and load_model
    • from_json
    • save_policy
  • Logging
    • TensorBoard
  • scikit-learn compatibility
    • train_test_split
    • cross_validate
    • GridSearchCV
    • parallel execution with multiple GPUs
  • Online Training
    • Replay Buffer
    • Explorers
    • Iterators
  • Model-based Data Augmentation
    • d3rlpy.dynamics.mopo.MOPO
Next Previous

© Copyright 2020, Takuma Seno Revision 83f1ddd9.

Built with Sphinx using a theme provided by Read the Docs.