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BitePal: Global Nutrition & Diet Rankings (Dec 2025–July 2026)
Dec 2025: #3 worldwide, 798,680 downloads (+37.6% MoM). Jan 2026: #2 worldwide, 1.8M downloads. Apr 2026: #1 App of the Day in 18 LATAM countries. July 2026: #1 App of the Day in India.
When Can Pre-Trained Policies Be Reused? Inference-Time Policy Composition from Fixed Policy Libraries
My project as part of the RAI for Ukraine program got accepted to the CIKM 2026 Short Paper Track — inference-time policy reuse in offline reinforcement learning. Extended version available on arXiv; code released on GitHub.
publications
LEVER: Inference-Time Policy Reuse under Support Constraints
Published in arXiv preprint, 2026
Inference-time policy reuse under support constraints. Extended version of the CIKM 2026 short paper.
Recommended citation: Vitenko, I., et al. (2026). "LEVER: Inference-Time Policy Reuse under Support Constraints." arXiv preprint.
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Methods for Optimizing Reasoning in Small Vision-Language Models Based on Reinforcement Learning
Published in Theoretical and Applied Problems of Physics, Mathematics and Informatics: Proceedings of the XXIV All-Ukrainian Scientific and Practical Conference of Students, Postgraduates and Young Scientists, 2026
Reinforcement learning methods for optimizing reasoning in small vision-language models.
Recommended citation: Vitenko, I. O., & Kussul, N. M. (2026). "Methods for Optimizing Reasoning in Small Vision-Language Models Based on Reinforcement Learning." In Theoretical and Applied Problems of Physics, Mathematics and Informatics: Proceedings of the XXIV All-Ukrainian Scientific and Practical Conference of Students, Postgraduates and Young Scientists, Kyiv, Ukraine, p. 302. Kyiv: Igor Sikorsky Kyiv Polytechnic Institute, Politechnika Publishing House. ISBN 978-966-990-053-1.
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When Can Pre-Trained Policies Be Reused? Inference-Time Policy Composition from Fixed Policy Libraries
Published in Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM), Short Paper Track, 2026
Inference-time composition of pretrained policies from a fixed policy library, without additional environment interaction.
Recommended citation: Ihor Vitenko, Noha Ibrahim, and Sihem Amer-Yahia. 2026. When Can Pre-Trained Policies Be Reused? Inference-Time Policy Composition from Fixed Policy Libraries. In Proceedings of the 35th ACM International Conference on Information and Knowledge Management (CIKM ’26), November 07–11, 2026, Rome, Italy. ACM, New York, NY, USA, 5 pages. https://doi.org/10.1145/3799682.3839904