| Title: | Adaptive resource allocation in self-reflective learning agents |
| Authors: | Gladkaya, N. N. |
| Keywords: | материалы конференций;adaptive resource allocation;self-reflective learning agents;self-regulating learning;intelligent systems;machine learning;resource management;agent-based systems;learning algorithms |
| Issue Date: | 2026 |
| Publisher: | БГУИР |
| Citation: | Gladkaya, N. N. Adaptive resource allocation in self-reflective learning agents / N. N. Gladkaya // Актуальные вопросы экономики и информационных технологий : сборник материалов докладов 62-й научной конференции аспирантов, магистрантов и студентов БГУИР, Минск, 13–17 апреля 2026 г. / Белорусский государственный университет информатики и радиоэлектроники. – Минск, 2026. – С. 728–730. |
| Abstract: | The computational inefficiency of modern neural networks, which apply uniform processing to inputs of varying complexity, is examined in this paper. An adaptive reinforcement learning agent that dynamically regulates its own computational effort based on the assessed difficulty of each observation is proposed. Special attention is given to the energy efficiency of the approach and its ability to maintain decision quality comparable to fixed-depth baselines. |
| URI: | https://libeldoc.bsuir.by/handle/123456789/65577 |
| Appears in Collections: | Актуальные вопросы экономики и информационных технологий : материалы 62-й научной конференции аспирантов, магистрантов и студентов (2026)
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