Recurrent Deep Reinforcement Learning for Chemotherapy Control under Partial Observability

arXiv:2605.02552v1 Announce Type: cross Abstract: Chemotherapy dose optimization can be formulated as a dynamic treatment regime, requiring sequential decisions under uncertainty that must balance tumor suppression against toxicity. However, most reinforcement learning approaches assume full...