reward-penalty-engineering

Community

Systematically tune rewards for robust RL.

Authormzqef
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill provides a process-oriented methodology for exploring, testing, and archiving reward/penalty functions in VBot navigation, enabling repeatable experimentation and knowledge retention.

Core Features & Use Cases

  • Diagnose and define reward gaps by observing policy behavior and identifying concrete signals to modify.
  • Hypothesize and experiment with single-variable changes, guided by defined discovery strategies, and quickly validate ideas on short training runs.
  • Archive and reuse results in the reward library to prevent repeated work and share insights across projects.

Quick Start

To start, study the Exploration Cycle, reference the reward library structure, and follow the six-phase workflow (Diagnose, Hypothesize, Implement, Test, Evaluate, Archive) for iterative reward development.

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: reward-penalty-engineering
Download link: https://github.com/mzqef/MotrixLab/archive/main.zip#reward-penalty-engineering

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