AI RESEARCH

Dynamic Treatment on Networks

arXiv CS.LG

ArXi:2605.06564v1 Announce Type: cross In networks, effective dynamic treatment allocation requires deciding both whom to treat and also when, so as to amplify policy impact through spillovers. An early intervention at a well-connected node can trigger cascades that change which nodes are worth targeting in the next period. Existing treatment strategies under network interference are largely static while dynamic treatment frameworks typically ignore network structure altogether.