Table of Contents

Shortcuts

torchrl.trainers.algorithms.configs.data.SamplerWithoutReplacementConfig¶

class torchrl.trainers.algorithms.configs.data.SamplerWithoutReplacementConfig(_target_: str = 'torchrl.data.replay_buffers.SamplerWithoutReplacement', drop_last: bool = False, shuffle: bool = True)[source]¶: Configuration for sampling without replacement.

Docs

Access comprehensive developer documentation for PyTorch

View Docs

Tutorials

Get in-depth tutorials for beginners and advanced developers

View Tutorials

Resources

Find development resources and get your questions answered

View Resources