rl-reward-diagnosis
CommunityDiagnose RL agent behavioral issues efficiently.
AuthorPiaoxuemoli
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The Skill addresses the issue of diagnosing reward structure problems in Reinforcement Learning (RL) agents, which can lead to unwanted behaviors.
Core Features & Use Cases
- Reward Structure Analysis: Analyze reward signals to diagnose agent behavior issues like random skills, wandering, or avoiding combat.
- Use Case: If an RL agent is not performing as expected, this Skill can help identify issues within the reward function.
Quick Start
Run the skill to diagnose reward issues in your RL agent by providing the reward configuration file 'conf.py'.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 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: rl-reward-diagnosis Download link: https://github.com/Piaoxuemoli/qoobeeHermes/archive/main.zip#rl-reward-diagnosis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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