SkillAgentSearch skills...

Dreamdecompiler

Code for the paper 'Bayesian Program Learning by Decompiling Amortized Knowledge'.

Install / Use

/learn @abpalmarini/Dreamdecompiler
About this skill

Quality Score

0/100

Supported Platforms

Zed

README

DreamDecompiler

A record of the code and experiments for the paper:

Alessandro B. Palmarini, Christopher G. Lucas, Siddharth N Proceedings of the 41st International Conference on Machine Learning, PMLR 235:39042-39055, 2024. [arXiv]

This repository contains a fork of the dreamcoder subfolder in the original DreamCoder repository. The changes, mainly located in dreamcoder/dreamdecompiler.py, integrate the alternative variants for dream decompiling (as presented in the paper) within the DreamCoder system.

Usage

To be used within the original DreamCoder repository.

To run on a new machine, you will need to do the following.

Create a shallow clone of the original repository:

git clone --depth 1 -b master https://github.com/ellisk42/ec.git

If you don't have ssh keys set up you will need to first change their .gitmodules file to contain the following:

[submodule "pregex"]
	path = pregex
	url = https://github.com/insperatum/pregex
	branch = master
[submodule "pinn"]
	path = pinn
	url = https://github.com/insperatum/pinn
	branch = master
[submodule "pyccg"]
	path = pyccg
	url = https://github.com/hans/pyccg
	branch = master

Clone the submodules:

git submodule update --recursive --init

Remove the dreamcoder subdirectory and replace it with the modified version found in this repository:

rm -rf ec/dreamcoder
git clone https://github.com/abpalmarini/dreamdecompiler.git
mv dreamdecompiler/dreamcoder ec/

Follow the instructions provided in the original repository's README to setup the necessary dependencies.

To chunk with the DreamDecompiler-PC model, add flags --compressor ddc_vs --chunkWeighting raw --numConsolidate to any DreamCoder command. Remove --chunkWeighting raw to use DreamDecompiler-Avg.

The commands for the experiments mentioned in the paper can be found in experiments.sh.

Related Skills

View on GitHub
GitHub Stars7
CategoryEducation
Updated2mo ago
Forks1

Languages

Python

Security Score

70/100

Audited on Jan 15, 2026

No findings