d3rlpy
v0.41
Tutorials
Getting Started
Jupyter Notebooks
References
API Reference
Algorithms
Q Functions
MDPDataset
Datasets
Preprocessing
Optimizers
Network Architectures
Data Augmentation
Metrics
Off-Policy Evaluation
Save and Load
Logging
scikit-learn compatibility
Online Training
Model-based Data Augmentation
Installation
Other
License
d3rlpy
Docs
»
API Reference
Edit on GitHub
API Reference
ΒΆ
Algorithms
Continuous control algorithms
Discrete control algorithms
Q Functions
d3rlpy.q_functions.MeanQFunctionFactory
d3rlpy.q_functions.QRQFunctionFactory
d3rlpy.q_functions.IQNQFunctionFactory
d3rlpy.q_functions.FQFQFunctionFactory
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
Optimizers
d3rlpy.optimizers.OptimizerFactory
d3rlpy.optimizers.SGDFactory
d3rlpy.optimizers.AdamFactory
d3rlpy.optimizers.RMSpropFactory
Network Architectures
d3rlpy.encoders.DefaultEncoderFactory
d3rlpy.encoders.PixelEncoderFactory
d3rlpy.encoders.VectorEncoderFactory
d3rlpy.encoders.DenseEncoderFactory
Data Augmentation
Image Observation
Vector Observation
Augmentation Pipeline
Metrics
Algorithms
Dynamics
Off-Policy Evaluation
For continuous control algorithms
For discrete control algorithms
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
Read the Docs
v: v0.41
Versions
latest
stable
v0.41
v0.40
v0.32
v0.31
v0.30
v0.23
v0.22
v0.21
v0.2
v0.1
Downloads
pdf
html
epub
On Read the Docs
Project Home
Builds
Free document hosting provided by
Read the Docs
.