<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Journal Article</dc:product_type><dc:title>Non-local Hamilton–Jacobi–Bellman equations for the stochastic optimal control of path-dependent piecewise deterministic processes</dc:title><dc:creator>Bandini, Elena; Keller, Christian (ORCID:0000000151909255)</dc:creator><dc:corporate_author/><dc:editor/><dc:description>We study the optimal control of path-dependent piecewise deterministic processes. An appropriate dynamic programming principle is established. We prove that the associated value function is the unique minimax solution of the corresponding non-local path-dependent Hamilton-Jacobi-Bellman equation. This is the first well-posedness result for nonsmooth solutions of fully nonlinear non-local path-dependent partial differential equations.</dc:description><dc:publisher>Elsevier</dc:publisher><dc:date>2025-10-27</dc:date><dc:nsf_par_id>10651773</dc:nsf_par_id><dc:journal_name>Stochastic Processes and their Applications</dc:journal_name><dc:journal_volume>192</dc:journal_volume><dc:journal_issue>C</dc:journal_issue><dc:page_range_or_elocation>104813</dc:page_range_or_elocation><dc:issn>0304-4149</dc:issn><dc:isbn/><dc:doi>https://doi.org/10.1016/j.spa.2025.104813</dc:doi><dcq:identifierAwardId>2106077</dcq:identifierAwardId><dc:subject/><dc:version_number/><dc:location/><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>