Integration of Deep Reinforcement Learning and Agent-based Simulation to Explore Strategies Counteracting Information Disorder
arXiv 2604.13047•396865b6b7e3ab77ba05bd53ddb0893af9437ee961ae5e79bf82088b6853a89c
API-keysEthereum-addressesJWTSSH-bruteforceagent-based-modelingagreement-driftcitation-farmingcredential-leakcritical-mass-collapsedeep-reinforcement-learninggraph-algorithmsinfluence-spreadinformation-disordermisinformation-mitigationmodel-competitionoffensive-securityopen-source-llm-ecosystemsplatform-securitypopularity-biasrecommendation-systemsresearch-integrityreview-manipulationsocial-simulation
Paper metadata
- arXiv ID
- 2604.13047
- Version
- Not specified by this published record
- Category
- Computer Science — Social and Information Networks (cs.SI)
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Evidence and limitations
- Source ID
- arxiv_cs_si
- Record identifier
- 396865b6b7e3ab77ba05bd53ddb0893af9437ee961ae5e79bf82088b6853a89c
- Enrichment time
- 2026-04-16T08:52:22Z
- AI-assisted enrichment
- Yes
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