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This study develops a double Q\u2010learning\u2013based controller for optimising daily dosing of a three\u2010drug regimen consisting of cisplatin, docetaxel and irinotecan. A pharmacokinetics\u2013pharmacodynamics (PK\/PD) tumour model with eight resistance states is used as the simulation environment. The controller aims to minimise tumour burden whilst enforcing strict toxicity constraints aligned with clinical dosing guidelines. Simulation results show that double Q\u2010learning substantially outperforms classical Q\u2010learning, achieving near\u2010complete tumour suppression within the simulation framework, corresponding to a residual tumour fraction on the order of  (approximately six orders of magnitude reduction) whilst maintaining toxicity within predefined constraints. Robustness analyses under physiological parameter variations of up to  and under abrupt disturbance events further demonstrate that the double Q\u2010learning policy preserves stable closed\u2010loop behaviour within the simulation environment and exhibits strong resilience to uncertainty. Overall, the results indicate that double Q\u2010learning provides a proof\u2010of\u2010concept framework for adaptive chemotherapy optimisation, with potential for future investigation in reinforcement learning\u2010based chemotherapy optimisation frameworks.<\/jats:p>","DOI":"10.1049\/syb2.70083","type":"journal-article","created":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T21:01:54Z","timestamp":1785790914000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Double Q\u2010Learning for Intelligent Multi\u2010Drug Scheduling in Cancer Chemotherapy Optimisation"],"prefix":"10.1049","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-0308-6819","authenticated-orcid":false,"given":"Behnoush","family":"Alizade","sequence":"first","affiliation":[{"name":"Faculty of Electrical &amp; Computer Engineering Hakim Sabzevari University  Sabzevar Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3569-3236","authenticated-orcid":false,"given":"Ahmad","family":"Hajipour","sequence":"additional","affiliation":[{"name":"Faculty of Electrical &amp; Computer Engineering Hakim Sabzevari University  Sabzevar Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"265","published-online":{"date-parts":[[2026,8,3]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/cncr.33587"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21834"},{"key":"e_1_2_11_4_1","unstructured":"J.Ferlay M.Ervik F.Lam et\u00a0al. 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