# Adaptive Dynamic Programming Control { "id": "T12794", "title": "Adaptive Dynamic Programming Control", "url": "/topics/T12794", "kind": "topic-directory", "aeo_cohort": "topic-directory", "provider": "openalex", "revision": "6e225572734960d6", "catalogue_revision": "f050b5d4780b1289", "numeric_address": "38285307485521111", "address_version": "morton4x16-v1", "coordinates": [ 3, 17, 1703, 12794 ], "answer_status": "Directory metadata; local answer requires separate source review", "truth_status": "Subject descriptor, not a factual answer or a demonstrated knowledge gap" } This cluster of papers focuses on the application of Adaptive Dynamic Programming and Reinforcement Learning techniques to solve optimal control problems in continuous-time nonlinear systems. It explores the use of neural networks, policy iteration, actor-critic algorithms, and $H_{infty}$ control for online learning and feedback control in various domains such as robotics, energy management, and multi-agent systems. Directory metadata is not a factual answer or evidence of a global knowledge gap. Source: https://openalex.org/T12794 No owner-reviewed local answer yet.