Design and train reinforcement learning agents — environment setup, reward shaping, policy gradient methods, and evaluation.
Scanned 9/2/2026
Install to Claude Code
Skills Directorynpx -y skills add a5c-ai/babysitter --skill reinforcement-learning-agents --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: reinforcement-learning-agents
description: Design and train reinforcement learning agents — environment setup, reward shaping, policy gradient methods, and evaluation.
allowed-tools: Read, Write, Edit, Bash, Glob, Grep
graph:
domains: [domain:machine-learning]
specializations: [specialization:data-science-ml, specialization:ai-agents-conversational]
skillAreas: [skill-area:reinforcement-learning-agents]
roles: [role:ml-engineer]
---
# Reinforcement Learning-based Agents Skill
> Stub — implementation pending.
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