ARCLE - ARC Learning Environment

ARCLE is a RL environment for training Abstraction and Reasoning Corpus and ARC-like datasets, built on Farama Gymnasium.

ARCLE implements several environments with various actions on editing grids of ARC, with object-oriented grid operations. Inspired by O2ARC Interface - the game-like human interface collecting human ARC solutions, ARCLE contains this interface as a RL environment, as well as the testing interface given with ARC Dataset .

Related Project - Simon ARC Env (Dec 2023)

Requirements

Python >= 3.8

Installation

pip install arcle

PyPI Project Page

Available Environments

Env Name	Description	Latest Version
RawARCEnv	Environment with actions only coloring, resizing to answer grid, and submit operations	v0
ARCEnv	Implements browser-based testing interface of ARC, with coloring, flood-filling, copy and paste	v0
O2ARCv2Env	Implements O2ARCv2 Interface, an extension of ARCEnv containing Move, Rotate, Flip, Crop, ...	v0

Changelogs

0.2.6

• Env Changes

  • O2ARCv2Env is accessible via O2ARCEnv or O2ARCEnv-v2.
  • Unify type of observations into np.int8 (that were previously np.uint8)
  • Unify observation space into a dictionary of Box or MultiBinary to flatten observations properly by Gymnasium APIs
  • Remove over-conditioned (@abstractmethod) requirements of AbstractARCEnv. Now user must only override create_operations only.

• Added action wrappers (BBoxWrapper, PointWrapper) to change selection to bounding box selection or one-point selection.

• Loader now supports definable random number generator.

• Orginized examples

• Bug Fix

  • Fixed terminated is not emitted when max_trial is infinity (-1)

0.2.5

• Python 3.8 Support (minimum requirement of Gymnasium)

• Env Changes

  • Rename ARCEnv into RawARCEnv in this version.
  • Removed MiniARCEnv. Please use RawARCEnv with loader=MiniARCLoader() instead.
  • New ARCEnv added, consisting action space of ARC testing interface given along with the ARC Dataset.
  • States in every environments are fully observable. All state-related instance variables are now in the current_state dictionary.
    • All operations receives state and action, and it changes state in-place.
    • You can deepcopy the state and call env.transition(state_copied, action) to get next state without changing original state on O2ARCv2Env. env.transition will be replaced as separated utility function in the future.
  • n-trial mode added. You canset maximum trials when you call gym.make() by putting argument max_trial=num. Unlimited trial mode is available when it is set by -1 (default).
  • Customizable Submit operation. It is defined in each env class as a method, not in a separated module.
    • You can specify boolean option reset_on_submit in env.reset (default=False)

• Bug fix

  • FloodFill operation without selection case fixed
  • Paste operation out-of-bound case fixed
  • CopyI operation out-of-bound case fixed
  • Apply patch exception handling

0.2.2

• Bug fix
  • Default all-or-none reward now gives only when submitted. It affects to existing all environments.

0.2.1

• O2ARCv2Env-v0
  • Changed ResizeGrid action to CropGrid action
  • Forced FloodFill action to select only one pixel (otherwise, it is NoOP)
  • Now CopyI, CopyO, Paste regards black pixels (pixel value 0) as a background. It copies pixels where the value is nonzero and the pixel is selected.
  • action['selection'] can handle int (automatically casts into np.bool_)
• Several exceptions handling

0.2.0

• ArcEnv-v0 & MiniArcEnv-v0 has renamed to ARCEnv-v0 & MiniARCEnv-v0.
• Changed internal current_grid variable to grid & grid_dim
• Added O2ARCv2Env-v0 environment.
• Added O2ARC Actions
  • Uses selection and selected. Some internal variables should be initialized.
  • Color, Flood Fill(DFS Color)
  • Move, Rotate, Flip
  • Copy, Paste and Clipboard Features (For O2ARC)

0.1.1

• Change Images
• Fix minor issues

0.1.0

• Initial Build.
• ArcEnv-v0 & MiniArcEnv-v0 Launched.