memorax.networks#
Neural network components for building RL agents.
Core#
Network - Main network class composing feature extractors, torsos, and heads.
FeatureExtractor - Extracts features from observations, actions, rewards, and done flags.
Identity - Identity module that passes input through unchanged.
Vision#
ViT - Vision Transformer.
PatchEmbedding - Converts images to patch sequences via Conv2D.
Wrappers#
SequenceModelWrapper - Wraps non-recurrent models for use as sequence models.