{
  "id": "skill-area:reinforcement-learning-agents",
  "_kind": "SkillArea",
  "_file": "domain/skill-areas/curated-ml-data-agent-task-skill-areas.yaml",
  "_cluster": "domain",
  "attributes": {
    "displayName": "Reinforcement Learning-based Agents",
    "description": "Building agents optimized through reward-driven interaction - policy\nimprovement, environment feedback, simulation, and evaluation loops.\n",
    "domains": [
      "specialization:ai-agents-conversational",
      "domain:ml-ops"
    ],
    "expertiseLevels": [
      "expert"
    ]
  },
  "outgoingEdges": [
    {
      "from": "skill-area:reinforcement-learning-agents",
      "to": "specialization:ai-agents-conversational",
      "kind": "applies_to",
      "attributes": {
        "confidence": "primary"
      }
    },
    {
      "from": "skill-area:reinforcement-learning-agents",
      "to": "domain:ml-ops",
      "kind": "applies_to",
      "attributes": {
        "confidence": "secondary"
      }
    }
  ],
  "incomingEdges": [
    {
      "from": "skill-area:ai-agent-development",
      "to": "skill-area:reinforcement-learning-agents",
      "kind": "prerequisite_for_learning",
      "attributes": {
        "strength": "recommended"
      }
    },
    {
      "from": "lib-skill:data-science-ml--reinforcement-learning-agents",
      "to": "skill-area:reinforcement-learning-agents",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "role:reinforcement-learning-engineer",
      "to": "skill-area:reinforcement-learning-agents",
      "kind": "requires_expertise",
      "attributes": {}
    }
  ]
}