Block based environments in PyBullet

Few-shot Bayesian Imitation Learning with Policies as Logic over Programs

Some helpful utilities for PyBullet

Miscellaneous Python utilities

Data structures for relational state and action spaces in robot environments.

A basic Python package setup with GitHub workflow.

Convert a PDDL domain into an OpenAI Gym environment.

Task planning and greedy execution.

Some machine learning models and helper functions

Tom Silver's academic website

Code for course on Machine Learning for Robot Planning

Modular execution

Modular perception

Robot enviroments modelled with 2D geoms.

Manually defined relational models (predicates, options, etc.)

2D geometry utilities

Unofficial reimplementation of PG3 (under development)

under development

Code for "Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks" (AAAI 2021)