tabula-rasa

What it is for

Research on interactive reasoning agents, replay caching, action planning and measured evaluation.

Study how agents infer puzzle mechanics from observation and how planning choices affect action efficiency.

Inspect reasoning experiments

Study exploration, planning and replay from trace evidence.

Try this project

This is the professional showcase. Visit my playground on myhai.org to try the live app, find downloads, or explore the project.

Features and workflow

Interactive exploration

Discover game rules through observed outcomes.

Reproducible experiments

Inspect traces, technical paper and reproduction instructions.

1. Read the paper and repository setup.
2. Prepare the documented model and game environment.
3. Run the reproduction instructions and inspect the resulting traces.

Architecture

The repository describes a persistent Python sandbox, game sessions, replay caches and scheduling across games. The technical paper documents a separate cascade-patch experiment; its evidence must be evaluated in its own scope.

Privacy and limitations

An experimental research project. Offline completion-ceiling measurements and competition scores use different scales and must not be compared directly. Inherited harnesses and methods are credited in the repository and paper.

Status

Public research code and paper; no hosted puzzle-solving service is offered. Results are reported experiments, not independently reproduced by this website.

Availability

Public source and technical paper

Status

Experimental research

Evidence

Technical paper and reported experiment evidence
Repository paper · reviewed 2026-10-22
Read the paper for inherited work, measured results and limitations.

PDF paper
Repository PDF · reviewed 2026-10-22
Exported research artifact.

Reproduction instructions
Repository instructions · reviewed 2026-10-22
Requires the documented environment; not executed by this website.

Questions