{
 "license": "CC-BY-4.0",
 "attribution": "Fide AI, Agentic Cyber Explorer",
 "url": "https://agentic-cyber-explorer.pages.dev/events/morl-resilient-cyber-defence-2025/",
 "asOf": "2026-09-26",
 "id": "morl-resilient-cyber-defence-2025",
 "date": "2025-09-05",
 "datePrecision": "day",
 "title": "Paper frames autonomous cyber defence as multi-objective RL balancing defence against service disruption",
 "lane": "defense",
 "kind": "paper",
 "summary": "A paper in Applied AI Letters argues that single-objective RL defenders built on hand-weighted rewards cannot adapt at inference time to competing goals such as stopping intrusions versus avoiding downtime. It presents a simple multi-objective network defence game in which defending against red agents must be balanced with preserving network services.",
 "whyItMatters": "It formalises the trade-off between defensive action and operational disruption that any autonomous defender must manage.",
 "actors": [],
 "topics": [
  "autonomous-defense"
 ],
 "atlas": [
  "eval-environment"
 ],
 "artifacts": [],
 "sources": [
  {
   "url": "https://doi.org/10.1002/ail2.70007",
   "publisher": "Applied AI Letters (Wiley)",
   "title": "Multi-Objective Reinforcement Learning for Automated Resilient Cyber Defence",
   "date": "2025-09-05",
   "type": "primary",
   "accessed": "2026-09-26"
  },
  {
   "url": "https://arxiv.org/abs/2411.17585",
   "publisher": "arXiv",
   "title": "Multi-Objective Reinforcement Learning for Automated Resilient Cyber Defence (preprint)",
   "date": "2024-11-26",
   "type": "primary",
   "accessed": "2026-09-26"
  },
  {
   "url": "https://api.crossref.org/works/10.1002/ail2.70007",
   "publisher": "Crossref (publisher-deposited metadata)",
   "title": "Multi-Objective Reinforcement Learning for Automated Resilient Cyber Defence",
   "date": "2025-09-05",
   "type": "secondary",
   "accessed": "2026-09-25"
  }
 ],
 "keyFacts": [
  {
   "fact": "The authors contrast single-objective RL with a handcrafted weighted reward against a multi-objective formulation that keeps competing objectives separate.",
   "locator": "Abstract"
  }
 ],
 "significance": 1,
 "fideQuestions": [
  "FID-076"
 ],
 "methods": [],
 "review": "assistant-drafted",
 "addedOn": "2026-09-25"
}