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curiosity-driven

Official

Drive learning by compression progress.

Education & Research#exploration#compression#curiosity#intrinsic#reinforcement-learning#world-model
Authorplurigrid
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Sets up intrinsic motivation for agents via compression progress to drive learning and exploration.

Core Features & Use Cases

  • Compression Progress: reward signal from description-length improvement.
  • Intrinsic Motivation: encourages exploration of learnable patterns.
  • Integration: pairs with world models and compressors.

Quick Start

Create a CuriosityDrivenAgent with a world model and a compressor, then evaluate compression_progress on a sample observation.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: curiosity-driven
Download link: https://github.com/plurigrid/asi/archive/main.zip#curiosity-driven

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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