Notebook Gallery¶

Curated notebooks¶

Getting started¶

• Generative Model Construction (Model/Distribution APIs)
• T-Maze Demo
• T-Maze Task with Distractors
• Cue Chaining Demo
• Graph worlds
• Demo: Knapsack Problem

Sophisticated Inference¶

• Validating Sophisticated Inference (SI) Planning Algorithm using the T-Maze Task
• Sophisticated inference on a T-Maze Task with Distractors
• Sophisticated inference on Graph Worlds

Inductive Inference¶

• Inductive Inference Example
• Inductive Inference Gridworld

Parameter Learning¶

• Learning Gridworld

Fitting POMDPs to experimental / behavioral data¶

• Fitting With pybefit

Advanced¶

• Working with complex action dependencies
• Using pymdp with a neural encoder
• Testing optimized inference methods
• Sparse Array Benchmarking
• Sophisticated inference with Monte Carlo Tree Search on TMaze with Distractors
• Sophisticated inference with Monte Carlo Tree Search on Graph World
• Comparing sequential inference algorithms

For developers¶

The notebook listings above are auto-generated by ./scripts/sync_docs_notebooks.sh.

Source notebooks live under examples/. The mirrored notebooks under docs-mkdocs/tutorials/notebooks/examples/ are generated build artifacts.

To add a notebook:

1. Add a path to docs-mkdocs/tutorials/notebooks.manifest.
2. Run ./scripts/sync_docs_notebooks.sh.