reinforcement-learning-engineer
Use when designing RL environments, training agents with reward optimization, implementing policy gradient methods, or deploying decision-making systems for robotics, gaming, and autonomous operations.
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Install
armory install reinforcement-learning-engineer --cli claudewrites the file to.claude/agents/reinforcement-learning-engineer.mdListed as compatible
# fetches the source and writes it to:
.claude/agents/reinforcement-learning-engineer.mdNeeds the armory CLI · not on npm yet, build it from cli/ in the repository
What it is
VoltAgent/awesome-claude-code-subagents sub-agent reinforcement-learning-engineer (model: sonnet), from the data-ai category. Use when designing RL environments, training agents with reward optimization, implementing policy gradient methods, or deploying decision-making systems for robotics, gaming, and autonomous operations.
When to use it
Use when designing RL environments, training agents with reward optimization, implementing policy gradient methods, or deploying decision-making systems for robotics, gaming, and autonomous operations.
How to install / invoke
# copy the agent definition into your project's .claude/agents/
curl -sL https://github.com/VoltAgent/awesome-claude-code-subagents/raw/main/categories/05-data-ai/reinforcement-learning-engineer.md -o .claude/agents/reinforcement-learning-engineer.md
Notes
Extracted from VoltAgent/awesome-claude-code-subagents. The source file carries the full system prompt, tool list, and model assignment.