{
  "id": "role:reinforcement-learning-engineer",
  "_kind": "Role",
  "_file": "role/roles/roles-expanded-2.yaml",
  "_cluster": "role",
  "attributes": {
    "displayName": "Reinforcement Learning Engineer",
    "isAgentic": false,
    "requiredCapabilities": [],
    "requiredDomains": [],
    "description": "Develops RL agents — reward function design, environment simulation,\npolicy optimization, and multi-agent systems. Applications in\nrobotics, game AI, and resource optimization.\n"
  },
  "outgoingEdges": [
    {
      "from": "role:reinforcement-learning-engineer",
      "to": "responsibility:model-quality-assurance",
      "kind": "holds_responsibility"
    },
    {
      "from": "role:reinforcement-learning-engineer",
      "to": "responsibility:model-training-quality",
      "kind": "holds_responsibility"
    },
    {
      "from": "role:reinforcement-learning-engineer",
      "to": "skill-area:reinforcement-learning-agents",
      "kind": "requires_expertise",
      "attributes": {}
    },
    {
      "from": "role:reinforcement-learning-engineer",
      "to": "skill-area:machine-learning-frameworks",
      "kind": "requires_expertise",
      "attributes": {}
    },
    {
      "from": "role:reinforcement-learning-engineer",
      "to": "domain:ml-ai",
      "kind": "applies_to",
      "attributes": {}
    }
  ],
  "incomingEdges": []
}